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Data Prizes and Challenges as Data Collaboratives – Terms and Conditions

Jos Berens, Stefaan Verhulst

An analysis of terms and conditions present in a diversity of data-driven prizes and challenges to better understand governance frameworks of data sharing practices.

Published in The GovLab in 2015

Type

Blog Post

Themes

Governance and Operations

Data-Driven Development Pathways for Progress

World Economic Forum

An overview report from the World Economic Forum on the existing data deficit and the value and impact of big data for sustainable development.

Published in 2015

Type

Report

Themes

Benefits

Incentives

Governance and Operations

Open Data and Beyond

Frederika Welle Donker, Bastiaan van Loenen, Arnold K. Bregt

A case study examining the opening of private data by Dutch energy network administrator Liander.

Published in International Journal of Geo-Information in 2016

Type

Case Study

Themes

In Practice

Governance and Operations

Mining Mobile Datasets to Enable the Fine-grained Stochastic Simulation of Ebola Diffusion

Nicholas Vogel, Christopher Theisen, Jonathan P. Leidig, Jerry Scripps, Douglas H. Graham, Greg Wolffe

A paper on the use of mobile call records to enable predictive action around Ebola diffusion.

Published in Paper presented at the Procedia Computer Science in 2015

Type

Paper

Themes

Benefits

In Practice

Data Collaboratives: Matching Demand with Supply of (Corporate) Data to solve Public Problems

Stefaan Verhulst, Iryna Susha, Alexander Kostura

A report describing emerging practice, opportunities and challenges in data collaboratives as identified at the International Data Responsibility Conference.

Published in 2016

Type

Essay

Themes

General

Benefits

Incentives

In Practice

The Data Revolution: Finding the Missing Millions

Elizabeth Stuart, Emma Samman, William Avis, Tom Berliner

The Overseas Development Institute’s annual report focused on solutions toward a sustainable data revolution.

Published in 2015

Type

Report

Themes

Benefits

Risks and Challenges

Data Responsibility

In Practice

Governance and Operations

Data Collaboratives: Exchanging Data to Improve People’s Lives

Stefaan Verhulst, David Sangokoya

An essay on leveraging the potential of data to solve complex public problems through data collaboratives and four critical accelerators towards responsible data sharing and collaboration.

Published in 2015

Type

Essay

Themes

General

Benefits

Incentives

In Practice

Governance and Operations

Mapping the Next Frontier of Open Data: Corporate Data Sharing.

Stefaan Verhulst, David Sangokoya

This essay describes an emerging taxonomy of activities involving corporate data sharing for public good, an emerging trend in which companies share anonymized and aggregated data with third-party users towards data-driven policymaking and greater public good.

Published in Internet Monitor 2014: Reflections on the Digital World: Platforms, Policy, Privacy, and Public Discourse in 2014

Type

Paper

Themes

General

Benefits

In Practice

Governance and Operations

A Systematic Review of Barriers to Data Sharing in Public Health

Willem G van Panhuis, Proma Paul, Claudia Emerson, John Grefenstette, Richard Wilder, Abraham J Herbst, David Heymann, Donald S Burke

A literature review of potential barriers to public health data sharing.

Published in BMC Public Health in 2014

Type

Journal Article

Themes

Risks and Challenges

Data Responsibility

Is Bigger Better? The Emergence of Big Data as a Tool for International Development Policy

Linnet Taylor, Ralph Schroeder

A paper describing how data, such as privately held mobile phone data – could improve development policy.

Published in GeoJournal in 2014

Type

Journal Article

Themes

General

Benefits

Risks and Challenges

Public-Private Partnerships for Statistics: Lessons Learned, Future Steps.

Nicholas Robin, Thilo Klein, Johannes Jütting

A working paper describing how privately held data sources could fill current gaps in the efforts of National Statistics Offices.

Published in OECD Development Co-operation Working Papers in 2016

Type

Paper

Themes

General

Benefits

Risks and Challenges

Data Responsibility

In Practice

Governance and Operations

Open Data Partnerships between Firms and Universities: The Role of Boundary Organizations

Markus Perkmann, Henri Schildt

A paper highlighting the advantages of third-party organizations enabling data sharing between industry and academia to uncover new insights to benefit the public good.

Published in Research Policy in 2015

Type

Journal Article

Themes

General

Incentives

Risks and Challenges

Governance and Operations

Flooding through the Lens of Mobile Phone Activity

David Pastor-Escuredo, Alfredo Morales-Guzám, Yolanda Torres-Fernández, Jean-Martin Bauer, Amit Wadhwa, Carlos Castro-Correa, Liudmyla Romanoff, Jong Gun Lee, Alex Rutherford, Vanessa Frias-Martinez, Nuria Oliver, Enrique Frias-Martinez, Miguel Luengo-Oroz

An analysis of aggregated and anonymized call details records (CDR) conducted in collaboration with the UN, Government of Mexico, academia and Telefonica suggests high potential in using shared telecom data to improve early warning and emergency management mechanisms.

Published in Proceedings of the IEEE Global Humanitarian Technology Conference (GHTC) in 2014

Type

Paper

Themes

Benefits

Incentives

In Practice

Private Data and the Public Good

Gideon Mann

The transcript of a keynote talk on the potential of leveraging corporate data to help solve public problems.

Published in 2016

Type

Blog Post

Themes

General

Benefits

Risks and Challenges

Data Responsibility

Governance and Operations

The Use and Misuse of Biomedical Data: Is Bigger Really Better?

Sharona Hoffman, Andy Podgurski

A journal article primarily focused on the risks involved in health data pooling.

Published in American Journal of Law & Medicine in 2013

Type

Journal Article

Themes

Risks and Challenges

Data Responsibility

Sea Change in Open Science and Data Sharing: Leadership by Industry

Harlan M. Krumholz, Cary P. Gross, Katrina L. Blount, Jessica D. Ritchie, Beth Hodshon, Richard Lehman, Joseph S. Ross

A review of industry-led efforts and cross-sector collaborations to share data from clinical trials to inform clinical practice.

Published in Circulation: Cardiovascular Quality and Outcomes in 2015

Type

Journal Article

Themes

Incentives

In Practice

A Decision Model for Data Sharing

Silja M. Eckartz, Wout J. Hofman, Anne Fleur Van Veenstra

A paper proposing a decision model for data sharing arrangements aimed at addressing identified risks and challenges.

Published in International Conference on Electronic Government in 2014

Type

Report

Themes

Risks and Challenges

Data Responsibility

Enabling Humanitarian Use of Mobile Phone Data

Cameron F. Kerry, Jake Kendall, Yves-Alexandre de Montjoye

An issues paper from the Brookings Institution on leveraging the benefits of mobile phone data for humanitarian use while minimizing risks to privacy.

Published in 2016

Type

Report

Themes

Benefits

In Practice

Governance and Operations

Data Sharing for Public Health: Key Lessons from Other Sectors

Matthew Brack, Tito Castillo

A Chatham House report describing the need for data sharing and collaboration for global public health emergencies and potential lessons learned from the commercial sector.

Published in Chatham House in 2015

Type

Report

Themes

Benefits

Risks and Challenges

Governance and Operations

Collaborative Governance in Theory and Practice

Chris Ansell, Alison Gash

A journal article describing the emerging practice of public-private partnerships, particularly those built around data sharing.

Published in Journal of Public Administration Research and Theory in 2007

Type

Journal Article

Themes

Governance and Operations

Big Data and Positive Social Change in the Developing World: A White Paper for Practitioners and Researchers

Bellagio Big Data Workshop Participants

A white paper describing the potential of big data, and corporate data in particular, to positively benefit development efforts.

Published in 2014

Type

Report

Themes

Benefits

Risks and Challenges

Sharing Clinical Trial Data: Maximizing Benefits, Minimizing Risk

Institute of Medicine

A consensus, peer-revieed IOM report recommending how to promote responsible clinical trial data sharing and minimize risks and challenges of sharing.

Published in 2015

Type

Report

Themes

Benefits

Risks and Challenges

Data Responsibility

Data Responsibility: A New Social Good for the Information Age

Stefaan Verhulst

An essay offering a new understanding of data responsibility comprising a duty to share, a data to protect, and a duty to act.

Published in The Conversation in 2016

Type

Essay

Themes

General

Benefits

Data Responsibility

In Practice

Data Collaboratives as a New Frontier of Cross-Sector Partnerships in the Age of Open Data: Taxonomy Development

Iryna Susha, Marijn Janssen, Stefaan Verhulst

A research paper providing a new taxonomy for types of data collaboratives.

Published in Proceedings of the 50th Hawaii International Conference on System Sciences in 2017

Type

Paper

Themes

General

Governance and Operations

The Legacy of inBloom

Monica Bulger, Patrick McCormick, Mikaela Pitcan

A report exploring the history of inBloom, and education technology and data platform launched in 2013 and ended a year later.

Published in Data & Society Working Paper Series in 2017

Type

Report

Themes

Risks and Challenges

In Practice

Corporate Social Responsibility for a Data Age

Stefaan G. Verhulst

This article investigates how companies use their data for social good, and identifies an emerging field of “data responsibility” where proprietary data can be used as a social asset.

Published in Stanford Social Innovation Review in 2017

Type

Essay

Magazine Article

Themes

Benefits

Data Responsibility

In Practice

Assessing the Quality of Mobile Phone Data as a Source of Statistics

Freddy De Meersman, Gerdy Seynaeve, Marc Debusschere, Patrick Lusyne, Pieter Dewitte, Youri Baeyens, Albrecht Wirthmann, Christophe Demunter, Fernando Reis, Hannes I. Reuter

This paper presented at the 2016 European Conference on Quality in Official Statistic assesses the ability for mobile phone data in Belgium to be used to collect official statistics, comparing data collected from mobile phones with official census data.

Published in European Conference on Quality in Official Statistics (Q2016) in 2016

Type

Journal Article

Themes

Benefits

In Practice

Governance and Operations

Using Collaboration to Harness Big Data for Social Good

Jake Porway

This articles provides non profits with three guiding principles on how to effectively incorporate data science into their operations.

Published in Stanford Social Innovation Review in 2017

Type

Magazine Article

Themes

Operations

In Practice

Governance and Operations

The State of Mobile Data for Social Good Report

UN Global Pulse, GSMA

“This report outlines the value of harnessing mobile data for social good and provides an analysis of the gaps. Its aim is to survey the landscape today, assess the current barriers to scale, and make recommendations for a way forward.”

Published in 2017

Type

Report

Case Study

Themes

Benefits

Risks and Challenges

Data Responsibility

In Practice

Understanding Corporate Data Sharing Decisions: Practices, Challenges, and Opportunities for Sharing Corporate Data with Researchers

Future of Privacy Forum

“In this report, we aim to contribute to the literature by seeking the ‘ground truth’ from the corporate sector about the challenges they encounter when they consider making data available for academic research.”

Published in 2017

Type

Report

Themes

Benefits

Incentives

Risks and Challenges

Data Responsibility

In Practice

Data collaboratives as “bazaars”?: A review of coordination problems and mechanisms to match demand for data with supply

Iryna Susha, Marijn Janssen, Stefaan Verhulst

Published in Transforming Government: People, Process and Policy in 2017

Type

Journal Article

Themes

Data Responsibility

A New Model for Industry-Academic Partnerships

Gary King, Nate Persily

Published in 2018

Type

Paper

Themes

General

How the Data That Internet Companies Collect Can Be Used for the Public Good

Stefaan Verhulst, Andrew Young

Data collaboratives can help harness the value of data held by the private sector and create a new added value that can address various public issues. This article delineates the potential of public-private partnership for data sharing, and proposes a data responsibility framework that serves as a guideline as well as a safeguard to protect from the risks involved in data sharing.

Published in Harvard Business Review in 2018

Type

Essay

Themes

Data Responsibility

Data responsibility: using corporate data to improve our lives

Stefaan Verhulst

Stefaan Verhulst’s latest work centers on how technology can improve people’s lives and the creation of more effective and collaborative forms of governance. Specifically, he is interested in the perils and promise of collaborative technologies and how to harness the unprecedented volume of information to advance the public good.

Published in TedxMidAtlantic in 2017

Type

Paper

Themes

Data Responsibility

Nowcasting Prices Using Google Trends: An Application to Central America

Skipper Seabold, Andrea Coppola

This study seeks to assess the possibility of using Google Trends data for forecasting price series in Central America. It discusses some of the challenges inherent in working with it in the context of developing countries. It finds that the addition of the Internet search index improves forecasting over benchmark models in about 20 percent of the series and discusses the reasons for the varied success and potential avenues for future research.

Published in World Bank in 2015

Type

Paper

Themes

General

Risks and Challenges

Guidance on sharing private sector data in the European data economy

European Commission

The European Commission published this accompanying document to the Communication “Towards a common European data space”. This “Staff Working Document aims to provide a toolbox for companies that are data holders, data users, or both at the same time. For this purpose, it contains a “How to” guide on legal, business and technical aspects of data sharing that can be used in practice when considering and preparing data transfers between companies coming from the same or different sectors.”

Published in European Commission in 2018

Type

Paper

Themes

General

Data Responsibility

Governance and Operations

Communication towards a common European data space

European Commission

The European Commission published this document for the following purpose: “With this Communication, the Commission proposes a package of measures as a key step towards a common data space in the EU - a seamless digital area with the scale that will enable the development of new products and services based on data.”

Published in European Commission in 2018

Type

Paper

Themes

General

Benefits

Governance and Operations

Unlocking Privately-Held Data to the Benefit of the Many

Alberto Alemanno

This article identifies the major challenges of unlocking private-held data to the benefit of society and sketches a research agenda for scholars interested in collaborative and regulatory solutions aimed at unlocking privately-held data for good.

Published in European Journal of Risk Regulation in 2018

Type

Journal Article

Themes

General

Benefits

Risks and Challenges

City Data Exchange - Lessons Learned from A Public/Private Data Collaboration

Municipality of Copenhagen and Capital Region of Denmark

The City Data Exchange a collaborative project created by the Municipality of Copenhagen, the Capital Region of Denmark, and Hitachi to create a marketplace for public and private organizations to take part in data exchange.

Published in 2018

Type

Report

Paper

Themes

General

Data Responsibility

Governance and Operations

Technology and satellite companies open up a world of data

Gabriel Popkin

“In the past few years, technology and satellite companies’ offerings to scientists have increased dramatically. Thousands of researchers now use high-resolution data from commercial satellites for their work. […] Researchers use the new capabilities to track and visualize forest and coral-reef loss; monitor farm crops to boost yields; and predict glacier melt and disease outbreaks.”

Published in Nature in 2018

Type

Journal Article

Themes

General

Benefits

In Practice

The Private Sector to the Public Sector’s Rescue: Why Private Organisations Enter Crisis Response Data Collaboratives

Jamie Holton

From the abstract: “This research looks at the emerging phenomenon of data collaboratives, specifically in the ‘crisis response’ sector, with which the private sector assists the public sector’s data-driven efforts to prevent or respond to humanitarian emergencies. This research explores and explains why the private sector participates in crisis response data collaboratives.”

Published in Leiden University in 2018

Type

Paper

Themes

Benefits

Incentives

Data Responsibility

Migration Data using Social Media

Spyratos Spyridon, Vespe Michele, Natale Fabrizio, Weber Ingmar, Zagheni Emilio, Rango Marzia

While research on the use of big data sources for migration is in its infancy, and the diffusion of internet technologies in less developed countries is still limited, the use of big data sources can unveil useful insights on quantitative and qualitative characteristics of migration.

Published in Joint Research Centre, European Commission in 2018

Type

Report

Themes

In Practice

Data Flow in the Smart City: Open Data Versus the Commons

Richard Beckwith, John Sherry, David Prendergast

From the chapter: “This paper explores the complex relationship between cities and data or, more accurately, the way that the citizens of a city want data about their community to be managed.”

Published in Springer in 2019

Type

Journal Article

Themes

General

On the privacy-conscientious use of mobile phone data

Yves-Alexandre de Montjoye, et. al.

From the article: “The breadcrumbs we leave behind when using our mobile phones—who somebody calls, for how long, and from where—contain unprecedented insights about us and our societies. Researchers have compared the recent availability of large-scale behavioral datasets, such as the ones generated by mobile phones, to the invention of the microscope, giving rise to the new field of computational social science.”

Published in Nature in 2018

Type

Journal Article

Themes

Risks and Challenges

Creating value through data collaboratives

Bram Klievink, Haiko van der Voort, Wijnand Veeneman

From the abstract: “This article looks at the idea of data collaboratives as a form of cross-sector partnership to exchange and integrate data and data use to generate public value.”

Published in Information Polity Journal in 2018

Type

Journal Article

Themes

Benefits

Data Collaboration, Pooling and Hoarding under Competition Law

Bjorn Lundqvist

From the abstract: “This article will discuss what implications combining data in data pools by firms might have on competition, and when competition law should be applicable. It develops the idea that data pools harbour great opportunities, whilst acknowledging that there are still risks to take into consideration, and to regulate.”

Published in Faculty of Law, Stockholm University Research Paper in 2018

Type

Journal Article

Themes

Governance and Operations

The Global Commons of Data

Jennifer Shkabatur

This paper makes a case for the practice and application of the global commons of data, by proposing alternatives to address the concern of data sharing and presenting policy framework that will allow the global commons of data to work.

Published in Stanford Technology Law Review in 2018

Type

Journal Article

Themes

General

Operations

Beyond Open vs. Closed: Balancing Individual Privacy and Public Accountability in Data Sharing

Meg Young, Luke Rodriguez, Emily Keller, Feiyang Sun, Boyang Sa, Jan Whittington, Bill Howe

From the abstract: “We find that the liberal use of synthetic data, in conjunction with strong legal protections over raw data, strikes a tunable balance between transparency, proprietorship, privacy, and research objectives; and that the legal-technical framework we describe can form the basis for organizational data trusts in a variety of contexts.”

Published in Proceedings of ACM in 2019

Type

Paper

Themes

Risks and Challenges

What Is a Data Trust?

Bianca Wylie, Sean McDonald

The authors propose a new concept called “Data Trust” to “steward, maintain and manage how data is used and shared — from who is allowed access to it, and under what terms, to who gets to define the terms, and how.”

Published in Center for International Governance Innovation in 2018

Type

Blog Post

Themes

Data Responsibility

Governance and Operations

Open-Data: A Solution When Data Constitutes an Essential Facility?

Claire Borsenberger, Mathilde Hoang, Denis Joram

This paper seeks to answer the following research questions:

  • Is data an essential facility that should be opened?
  • Towards a more general open (public and private) data environment and a “common European data space”?

Published in Springer in 2019

Type

Essay

Themes

General

How Search Engine Data Enhance the Understanding of Determinants of Suicide in India and Inform Prevention: Observational Study

Natalia Adler, Ciro Cattuto, Kyriaki Kalimeri, Daniela Paolotti, Michele Tizzoni, Stefaan Verhulst, Elad Yom-Tov, Andrew Young

“As the product of a data collaborative, this paper leverages private-sector search engine data toward gaining a fuller, more accurate picture of the suicide issue among young people in India.”

Published in Journal of Medical Internal Research in 2019

Type

Journal Article

Themes

In Practice

Data Trusts: Ethics, Architecture and Governance for Trustworthy Data Stewardship

Kieron O'Hara

“This paper defends the following thesis: A data trust works within the law to provide ethical, architectural and governance support for trustworthy data processing.”

Published in 2019

Type

Paper

Themes

Governance and Operations

Big Data Needs Big Governance: Best Practices From Brain-CODE, the Ontario-Brain Institute’s Neuroinformatics Platform

Shannon Lefaivre, Brendan Behan, Anthony Vaccarino, Kenneth Evans, Moyez Dharsee, Tom Gee, Costa Dafnas, Tom Mikkelsen, Elizabeth Theriault

“The aim of this report is to highlight these best practices and develop a key open resource which may be referenced during the development of similar open science initiatives.”

Published in Frontiers in Genetics in 2019

Type

Journal Article

Themes

In Practice

Governance and Operations

The Circular City Research Journal Volume I

André Corrêa d'Almeida, Caroline McHeffey, Nilda Mesa, Arnaud Sahuguet, Stefaan G. Verhulst, Andrew Young, Andrew J. Zahuranec

“This inaugural edition of New Lab’s Research Journal (i) describes the process of developing and launching New Lab’s The Circular City program, (ii) introduces circular city data as the first exploration of this program, and (iii) investigates and methodologically tests the value of circular data applied to three urban challenges: economic development, mobility, and resilience.”

Published in New Lab in 2019

Type

Journal Article

Themes

General

Benefits

Incentives

Risks and Challenges

In Practice

Evolving Measurement for an Evolving Economy: Thoughts on 21st Century US Economic Statistics

Ron S. Jarmin

“In this essay, [Jarmin] describe[s] some work underway that hints at what 21st century official economic measurement will look like and offer some preliminary comments on what is needed to get there.”

Published in Journal of Economic Perspectives in 2019

Type

Journal Article

Themes

Benefits

The new ecosystem of trust

Geoff Mulgan, Vincent Straub

“Here we attempt to open up part of the debate on data governance; suggesting how to address the twin goals of greater control for citizens, and greater value for the public as a whole. We argue that there are a variety of different solutions that need to be designed, and experimented with.”

Published in Nesta in 2019

Type

Essay

Themes

Data Responsibility

Using Data Sharing Agreements as Tools of Indigenous Data Governance: Current Uses and Future Options

A. Martinez, A. C. Rainie

“The project described here reviewed publicly available data sharing agreements that focus on research with Indigenous nations and communities in the United States. […] The results detail how Indigenous peoples currently use data sharing agreements and potential areas of expansion for language to include in data sharing agreements as Indigenous peoples address the research needs of their communities and the protection of community and cultural data.”

Published in American Geophysical Union in 2018

Type

Journal Article

Themes

In Practice

Governance and Operations

Are Requirements to Deposit Data in Research Repositories Compatible With the European Union's General Data Protection Regulation?

Deborah Mascalzoni, et al

“[D]ata deposition requirements and research repositories will have to adapt to the legal and ethical landscape of the GDPR. Noncompliance with the GDPR may incur administrative fines of up to €20 million, and the regulation is enforced by data protection authorities in each EU nation.”

Published in Annals of Internal Medicine in 2019

Type

Essay

Themes

Risks and Challenges

Data Responsibility

Governance and Operations

Leveraging and Sharing Data for Urban Flourishing

Stefaan G. Verhulst

Testimony before New York City Council Committee on Technology and the Commission on Public Information and Communication (COPIC).

Published in The GovLab in 2019

Type

Essay

Themes

General

The Big (data) Bang: Opportunities and Challenges for Compiling SDG Indicators

Steve MacFeely

“This paper examines the opportunities and challenges presented by big data for compiling indicators to support Agenda 2030.”

Published in Global Policy Volume in 2019

Type

Journal Article

Themes

General

Benefits

Towards matching user mobility traces in large-scale datasets

Daniel Kondor, Behrooz Hashemian, Yves-Alexandre de Montjoye, Carlo Ratti

“Extending previous work on reidentifiability of spatial data and trajectory matching, we present the first large-scale analysis of user matchability in real mobility datasets on realistic scales, i.e. among two datasets that consist of several million people’s mobility traces, coming from a mobile network operator and transportation smart card usage.”

Published in IEEE Transactions on Big Data in 2018

Type

Journal Article

Themes

General

Benefits

Roadmap for Data Sharing in Public Health Emergencies

GloPID-R

According to the Executive Summary, this “roadmap aims to accelerate effective data sharing by highlighting measures GloPID-R research funders can take to improve research data sharing by their grantees and to advocate for increased research and public health data sharing more widely.”

Published in GloPID-R

Type

Report

Themes

General

Incentives

Operations

Enhancing Access to and Sharing of Data: Reconciling Risks and Benefits for Data Re-use across Societies

OECD

“This report examines the opportunities of enhancing access to and sharing of data (EASD) in the context of the growing importance of artificial intelligence and the Internet of Things. It discusses how EASD can maximise the social and economic value of data re-use and how the related risks and challenges can be addressed. […] It also provides examples of EASD approaches and policy initiatives in OECD countries and partner economies.”

Published in OECD Publishing in 2019

Type

Report

Themes

Risks and Challenges

Assessing the Legitimacy of “Open” and “Closed” Data Partnerships for Sustainable Development

Andreas Rasche, Mette Morsing, Erik Wetter

The authors examine the legitimacy of different types of data sharing partnerships (open and closed) for social good.

Published in Business & Society in 2019

Type

Journal Article

Themes

Governance and Operations

Benefits

General

Accelerating The Sharing of Data Across Sectors to Advance The Common Good

Robert M. Groves, Adam Neufeld

“The public pays for and provides an incredible amount of data to governments and companies. Yet much of the value of this data is being wasted, remaining in silos rather than being shared to enhance the common good—whether it’s helping governments to stop opioid addiction or helping companies predict and meet the demand for electric or autonomous vehicles.”

Published in Beeck Center, Georgetown University in 2017

Type

Paper

Themes

General

Benefits

Incentives

Risks and Challenges

DataHub: A generalized metadata search & discovery tool

Mars Lan, Seyi Adebajo, Shirshanka Das

LinkedIn created a generalized metadata search and discovery tool, DataHub, to help scale up productivity and innovation that require their data assets.

Published in LinkedIn Blog in 2019

Type

Blog Post

Themes

Operations

Evaluating Data Types: A Guide for Decision Makers Using Data to Understand the Extent and Spread of COVID-19

Adrian E. Raftery, Janet Currie, Mary T. Bassett, Robert Groves

A guide from the National Academies of Sciences, Engineering, and Medicine examining the strengths and weaknesses of various datasets with potential value for addressing the COVID-19 pandemic.

Published in The National Academies Press in 2020

Type

Guide

Themes

Benefits

Risks and Challenges

In Practice

Gender gaps in urban mobility

Laetitia Gauvin, Michele Tizzoni, Simone Piaggesi, Andrew Young, Natalia Adler, Stefaan Verhulst, Leo Ferres, and Ciro Cattuto

A journal article providing lessons learned from a data collaborative that leveraged anonymized call detail records and other datasets to better understand the mobility experiences of women and girls in Santiago de Chile.

Published in Nature: Humanities and Social Sciences Communications in 2020

Type

Journal Article

Themes

In Practice

Laying the Foundation for Effective Partnerships: An Examination of Data Sharing Agreements

Hayden Dahmm

A report sharing initial lessons learned from the Contracts for Data Collaboration initiative (C4DC) and its study of core components of data sharing agreements and other legal instruments to enable data collaboratives.

Published in UN Sustainable Development Solutions Network’s Thematic Research Network on Data and Statistics (SDSN TReNDS) in 2020

Type

Report

Themes

Governance and Operations

Measuring Movement and Social Contact with Smartphone Data: A Real-Time Application to COVID-19

Victor Couture, Jonathan I. Dingel, Allison E. Green, Jessie Handbury, Kevin R. Williams

An NBER working paper examining the “suitability of smartphone data for quantifying movement and social contact” during the COVID-19 pandemic.

Published in The National Bureau of Economic Research in 2020

Type

Paper

Themes

In Practice

The detection and location estimation of disasters using Twitter and the identification of Non-Governmental Organisations using Crowdsourcing

Christopher Loynes, Jamal Ouenniche, Johannes De Smedt

A paper, introducing an automated tool targeted at humanitarian actors to help them “detect a disaster using tweets, alongside a portal to identify local and regional NGOs that are best-positioned to provide support to people adversely affected by a disaster.”

Published in Annals of Operations Research in 2020

Type

Journal Article

Themes

Operations

In Practice

Privacy‐Preserving Data Visualization: Reflections on the State of the Art and Research Opportunities

Kaustav Bhattacharjee, Min Chen, Aritra Dasgupta

A paper highlighting the role visualization can play in balancing privacy needs and effective data-driven communication

Published in Computer Graphics Forum in 2020

Type

Journal Article

Themes

Governance and Operations

Responsible, practical genomic data sharing that accelerates research

James Brian Byrd, Anna C. Greene, Deepashree Venkatesh Prasad, Xiaoqian Jiang, Casey S. Green

The piece describing “current best practices for various types of genomic data, as well as opportunities to promote ethical data sharing that accelerates science by aligning incentives.”

Published in Nature Reviews Genetics in 2020

Type

Journal Article

Themes

In Practice

Data Responsibility

Mapping Mobility Functional Areas (MFA) using Mobile Positioning Data to Inform COVID-19 Policies

Stefano Iacus, Carlos Santamaria Serna, Francesco Sermi, Spyrdion Spyratos, Dario Tarchi, Michele Vespe

A report from the EU Science Hub introducing “the concept of data-driven Mobility Functional Areas (MFAs) as geographic zones with a high degree of intra-mobility exchanges.” These telecom data-calculated MFAs, the report authors argue, “can be useful to inform targeted re-escalation policy responses in cases of future COVID-19 outbreaks.”

Published in Publications Office of the European Union in 2020

Type

Report

Themes

In Practice

Governance and Operations

Surprising Alternative uses of IoT Data

Massimo Russo, Tiang Feng

An article that aims to help companies consider how to “think about external data sharing when potential use cases are distant, unknown, or not yet existent” and to “balance the abstract value of future use cases with the tangible risk of data misuse.”

Published in BCG Henderson Institute in 2020

Type

Blog Post

Themes

In Practice

Benefits

Social Research in Times of Big Data: The Challenges of New Data Worlds and the Need for a Sociology of Social Research

Rainer Diaz-Bone, Kenneth Horvath, Valeska Cappel

A paper arguing for “moving towards a sociology of social research in order to characterize the new qualities of big data and its deficiencies.”

Published in Historical Social Research in 2020

Type

Journal Article

Themes

Risks and Challenges

Data Is Dangerous: Comparing the Risks That the United States, Canada and Germany See in Data Troves

Susan Ariel Aaronson

A brief published by the Centre for International Governance Innovation examines the origins of differences in attitudes toward use of data troves and the perceived risks therein in the United States, Canada, and Germany. Through case studies, it also notes the existence of a “governance gap” in personal data use and the threats this inadequate governance presents.

Published in Centre for International Governance Innovation in 2020

Type

Report

Themes

Risks and Challenges

Facebook, Twitter and other data troves are revolutionizing social science

Heidi Ledford

An article outlining how social scientists are using social media data to conduct studies ranging from “the psychological underpinnings of human morality, to the influence of misinformation, to the factors that make some artists more successful than others.”

Published in Nature in 2020

Type

Journal Article

Themes

Benefits

In Practice

Trusted Smart Statistics: How new data will change official statistics

Fabio Ricciato, Albrecht Wirthmann, Martina Hahn

A paper exploring how “statistical offices are called nowadays to rethink the way they operate in order to reassert their role in modern democratic society,” given the “availability of new digital data sources, new technologies, and new behaviors.”

Published in Data & Policy in 2020

Type

Journal Article

Themes

Benefits

Best Practices: Using Information Collected for Tailored Advertising or Ad Delivery and Reporting for Non-Marketing Purposes

Network Advertising Initiative

A guide for effectively and responsibly acting upon “novel data uses” for data collected for advertising purposes.

Published in 2020

Type

Guide

Themes

Governance and Operations

Social Distancing and Social Capital: Why U.S. Counties Respond Differently to Covid-19

Wenzhi Ding, Ross Levine, Chen Lin, Wensi Xie

An NBER working paper that relied on mobile phone data to “examine how counties responded to both local COVID-19 cases and statewide shelter-in-place orders,” finding that “social distancing increases more in response to cases and official orders in counties where individuals historically (1) engaged less in community activities and (2) demonstrated greater willingness to incur individual costs to contribute to social objectives.”

Published in National Bureau of Economic Research in 2020

Type

Paper

Themes

In Practice

EU Company Data: State of the Union 2020 — How poor access to company data is undermining the European Union

OpenCorporates

A report sharing insight on shifts in access to private-sector data in the EU, including: “The average score across the EU in terms of access to company data is just 40 out of 100. This is better than the average score 8 years ago, which was just 23 out of 100, but still very low nevertheless.”

Published in 2020

Type

Report

Themes

General

In Practice

AI Procurement in a Box: Project Overview Toolkit

Sabine Gerdon, Eddan Katz, Emilie LeGrand, Gordon Morrison, Julian Torres Santeli

A report on the WEF’s AI Procurement in a Box project, which “aims to help governments “rethink the procurement of artificial intelligence (AI) with a focus on innovation, efficiency and ethics,” and to drive the development of “ethical standards in AI development and deployment.

Published in World Economic Forum in 2020

Type

Report

Themes

In Practice

Governance and Operations

Toward Inclusive Urban Technology

Denise Linn Riedl

A report featuring a “collection of experiences, cases, and best practices” intended to support “any local worker—inside or outside of government—who is helping to plan or implement technological change in their community.

Published in Benton Institute for Broadband & Society in 2020

Type

Report

Themes

In Practice

Self-interest and data protection drive the adoption and moral acceptability of big data technologies: A conjoint analysis approach

Rabia I. Kodapanakkal, Mark J. Brandt, Christoph Kogler, Ilja van Beest

A journal article that finds when it comes to “big data technologies,” people’s rate of adoption tends to be driven by self-interest and data protection.

Published in Computers in Human Behavior in 2020

Type

Journal Article

Themes

Governance and Operations

Data Responsibility

How Philanthropy Can Help Lead on Data Justice

Louise Lief

An article advocating for philanthropies to embrace “community-based participatory research and other equity approaches to data…to change the game, revitalize research and communities, and realize greater impact.”

Published in Stanford Social Innovation Review in 2020

Type

Journal Article

Themes

Benefits

Invest 5% of research funds in ensuring data are reusable

Barend Mons

An article arguing for additional investment in ensuring research data is available for reuse and data collaboration and that the “key is to build capacity, enable groups to collaborate nationally and internationally and share good practices so that good data stewardship becomes the rule, not the exception.”

Published in Nature in 2020

Type

Journal Article

Themes

Governance and Operations

Benefits

Wanted: Data Stewards: (Re-)Defining the Roles and Responsibilities of Data Stewards for an Age of Data Collaboration

Stefaan G. Verhulst, Andrew J. Zahuranec, Andrew Young, and Michelle Winowatan

A GovLab paper meant to inform the on-going exploration of how to enable systematic, sustainable, and responsible re-use of data through cross-sector data collaboration in the public interest (often called Data for Good). Data stewards build trust between organizations, agilely creating relationships between leaders from different sectors and backgrounds.

Published in 2020

Type

Report

Themes

Benefits

Governance and Operations

Who will benefit most from the data economy?

The Economist

A special report in The Economist that discusses the distribution of value derived from data across various stakeholders.

Published in The Economist in 2020

Type

Magazine Article

Themes

Benefits

Risks and Challenges

Incentives

The Economic Impact of Open Data: Opportunities for value creation in Europe

Esther Huyer, Laura van Knippenberg

The report “researches the value created by open data in Europe. […] The report additionally considers how this market size is distributed along different sectors and how many people are employed due to open data. […] Finally, the report also considers examples and insights from open data re-use in organisations.

Published in European Data Portal in 2020

Type

Report

Themes

Benefits

Data Collaboratives — Encyclopedia Entry

Andrew Young, Stefaan G. Verhulst

“Data collaboratives are an emerging form of public-private partnership in which actors from across sectors exchange and analyze data, or provide data science insights and expertise to create new public value and generate fresh insights (Verhulst & Sangokoya, 2015). Data collaboratives, sometimes referred to as “corporate data philanthropy” (Taddeo, 2017), can be considered a new form of corporate social responsibility in the data age (Verhulst, 2017).”

Published in The Palgrave Encyclopedia of Interest Groups, Lobbying and Public Affairs in 2020

Type

Journal Article

Themes

General

A data sharing method in the open web environment: Data sharing in hydrology

Jin Wang, Min Chen, Guonian Lü, Songshan Yue, Yongning Wen, Zhenxu Lan, ShuoZhang

The authors propose a data sharing strategy that can improve the usability of hydrological data.

Published in Journal of Hydrology in 2020

Type

Journal Article

Themes

In Practice

Capturing Citizens’ Information Needs through Analysis of Public Library Circulation Data

Tomoya Igarashi , Masanori Koizumi, Michael Widdersheim

This paper discusses the use of public library circulation data to understand citizens’ learning pattern.

Published in Libri in 2020

Type

Journal Article

Themes

In Practice

The Institutionalisation of Digital Public Health: Lessons Learned from the COVID-19 App

Ciro Cattuto, Alessandro Spina

This paper discusses the use of big data in epidemiology by analyzing use cases during the COVID19 pandemic.

Published in Cambridge University Press in 2020

Type

Journal Article

Themes

In Practice

Responsible data sharing in a big data-driven translational research platform: lessons learned

S. Kalkman, M. Mostert, N. Udo-Beauvisage, J. J. van Delden, G. J. van Thiel

From the abstract: “To foster responsible data sharing in health research, ethical governance complementary to the EU General Data Protection Regulation is necessary. A governance framework for Big Data-driven research platforms will at least need to consider the conditions as specified a priori for individual datasets. We aim to identify and analyze these conditions for the Innovative Medicines Initiative’s (IMI) BigData@Heart platform.”

Published in BMC Medical Informatics and Decision Making in 2019

Type

Journal Article

Themes

Data Responsibility

Data Collaborative Case Study: The Atlas of Inequality and Cuebiq’s Data for Good Initiative

Michelle Winowatan, Andrew Young, Stefaan Verhulst

This case study analyzes the implementation of a data collaborative project, where MIT Media Lab researchers used location data provided by Cuebiq to understand social inequality.

Published in The GovLab in 2020

Type

Case Study

Themes

In Practice

Assessing the Returns on Investment in Data Openness and Transparency

Megumi Kubota, Albert G. Zeufack

“This paper investigates the potential benefits for a country from investing in data transparency. The paper shows that increased data transparency can bring substantive returns in lower costs of external borrowing. This result is obtained by estimating the impact of public data transparency on sovereign spreads conditional on the country’s level of institutional quality and public and external debt.”

Published in The World Bank in 2020

Type

Report

Themes

Incentives

Conceptualizing Data‐Deliberation: The Starry Sky Beetle, Environmental System Risk, and Habermasian CSR in the Digital Age

Mario Schultz, Peter Seele

This paper discusses the political role of corporations in the digital age.

Published in Business Ethics: A European Review in 2020

Type

Journal Article

Themes

Data Responsibility

Governance and Operations

Data Collaborative Case Study: Accelerating Medicines Partnership (AMP)

Michelle Winowatan, Andrew Young, Stefaan Verhulst

This case study contains analysis of the implementation of a data collaborative project and data stewardship practice in the Accelerating Medicines Partnership project.

Published in The GovLab in 2019

Type

Case Study

Themes

In Practice

Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-based Approaches to Principles for AI

Jessica Fjeld, Nele Achten, Hannah Hilligoss, Adam Nagy, Madhulika Srikumar

The authors “analyzed the contents of thirty-six prominent AI principles documents, and in the process, discovered thematic trends that suggest the earliest emergence of sectoral norms.”

Published in Berkman Klein Center for Internet & Society in 2020

Type

Paper

Themes

General

Data Responsibility

Housing Search in the Age of Big Data: Smarter Cities or the Same Old Blind Spots?

Geoff Boeing, Max Besbris, Ariela Schachter, John Kuk

The authors “synthesize and extend analyses of millions of US Craigslist rental listings and find they supply significantly different volumes, quality, and types of information in different communities.”

Published in Informa UK Limited in 2020

Type

Paper

Themes

Operations

General

Benefits

In Practice

Data Collaborative Case Study: Global Fishing Watch

Michelle Winowatan, Andrew Young, Stefaan Verhulst

This case study presents analysis of data stewards practices from the implementation of data collaborative project Global Fishing Watch.

Published in The GovLab in 2020

Type

Case Study

Themes

In Practice

Towards Adaptive Governance in Big Data Health Research: Implementing Regulatory Principles

Alessandro Blasimme, Effy Vayena

In this paper, the authors “make the case for adaptive and principle-based governance of big data research [and] then outline six principles of adaptive governance (AFIRRM) for big data research and discuss key factors for their implementation into effective governance structures and processes.”

Published in Cambridge University Press in 2019

Type

Paper

Themes

Governance and Operations

How to Put the Data Subject's Sovereignty into Practice. Ethical Considerations and Governance Perspectives

Peter Dabrock

This article discusses the balance between maintaining data sovereignty and bolstering AI and machine learning enabled innovation.

Published in Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society in 2020

Type

Essay

Themes

Data Responsibility

Benefits

The imperative of interpretable machines

Julia Stoyanovich, Jay J. Van Bavel, Tessa V. West

This essay discusses a framework “needed to connect interpretability and trust in algorithm-assisted decisions, for a range of stakeholders.”

Published in Nature Machine Intelligence in 2020

Type

Essay

Themes

Data Responsibility

What is My Data Worth?

Ruoxi Jia

“People give massive amounts of their personal data to companies every day and these data are used to generate tremendous business values. Some economists and politicians argue that people should be paid for their contributions—but the million-dollar question is: by how much?

“This article discusses methods proposed in our recent AISTATS and VLDB papers that attempt to answer this question in the machine learning context.”

Published in The Berkeley Artificial Intelligence Research in 2019

Type

Essay

Guide

Themes

Operations

Open data governance: civic hacking movement, topics and opinions in digital space

Mara Maretti, Vanessa Russo, & Emiliano del Gobbo

This paper investigates “the communication structure and the governance of open data in the Twitter conversational environment”, highlighting that while there is an Italian open data infrastructure, there are weaknesses in governance and practical reuse of data.

Published in Quality & Quantity in 2020

Type

Journal Article

Themes

Governance and Operations

General

From (Horizontal and Sectoral) Data Access Solutions Towards Data Governance Systems

Wolfgang Kerber

This paper discusses the importance of analysis and regulatory design in re-imagining data governance systems, and proposes potential instruments that can be used within these systems.

Published in University of Marburg - School of Business & Economics in 2020

Type

Journal Article

Themes

General

In Practice

Governance and Operations

Demystifying the Role of Data Interoperability in the Access and Sharing Debate

Jorg Hoffmann and Begona Gonzalaz Otero

This paper addresses the lack of understanding in law and policy discourse pertaining to data interoperability, and subsequently, “explains the technical complexity of interoperability and its enablers, namely data standards and application programming interfaces.”

Published in Max Planck Institute for Innovation & Competition in 2020

Type

Paper

Themes

General

Risks and Challenges

COVID-19 Impact on Global Maritime Mobility

Leonardo M. Millefiori, Paolo Braca, Dimitris Zissis, Giannis Spiliopoulos, Stefano Marano, Peter K. Willett, Sandro Carniel

This paper analyzes the effects that the COVID-19 pandemic and the containment measures had on the shipping industry using maritime traffic data.

Published in 2020

Type

Paper

Themes

General

In Practice

Data Sharing 2.0: New Data Sharing, New Value Creation

Barbara Wixom, Ina Sebastian, and Robert Gregory

In this paper, MIT CISR Research discuss their findings on interorganizational data sharing; “this briefing introduces three sets of practices—curated content, designated channels, and repeatable controls—that help companies accelerate data sharing 2.0.”

Published in MIT CISR research in 2020

Type

Paper

Themes

In Practice

General

Exploring Urban Form Through Openstreetmap Data

Geoff Boeing

OpenStreetMap is a crowd-sourced, worldwide mapping project and geospatial data repository; Boeing discusses how “ubiquitous urban data and computation can open up new urban form analyses from both quantitative and qualitative perspectives.”

Published in Urban Experience and Design: Contemporary Perspectives on Improving the Public Realm in 2020

Type

Journal Article

Themes

General

Benefits

A New Normal for Data Collection: Using the Power of Community to Tackle Gender Violence Amid COVID-19

Claudia Wells

This article discusses the importance of timely, disaggregated, community-level data on gender based violence. “As illustrated by experiences in Nepal, data collected within communities can play a vital role to fill the gaps and ensure that data-informed policies reflect the lived experiences of the most marginalized women and girls.”

Published in SDG Knowledge Hub in 2020

Type

Magazine Article

Themes

In Practice

General

Common Pitfalls in the Interpretation of COVID-19 Data and Statistics

Andreas Backhus

Though the supply of data has increased since the beginning of the pandemic, “a number of pitfalls have arisen with regard to the interpretation of the data and the conclusions that can be drawn from them.” The paper seeks to highlight these pitfalls to inform the future course of policy action.

Published in Intereconomics

Type

Paper

Themes

General

Risks and Challenges

Poor data on groundwater jeopardizes climate resilience, report says

Rebecca Root

The report outlines recommendations for “improved collaboration between government agencies and other institutions involved with groundwater data collection, alongside the development of more accessible databases and increased awareness of existing data.”

Published in Devex in 2020

Type

Magazine Article

Themes

In Practice

General

Sharing Data to Address Our Biggest Societal Challenges

Massimo Russo, David Young, Tian Feng, and Marine Gerard

This article discusses the importance of sharing data to address societal challenges – “Financial inclusion, crisis response, resource conservation, public health, and climate change are all examples of data mega-use-cases encompassed by the SDGs. But data can only contribute to the solution of these problems if it is readily available and shared.”

Published in BCG in 2021

Type

Blog Post

Themes

Benefits

General

Child Data Citizen

Veronica Barassi

“An examination of the datafication of family life—in particular, the construction of our children into data subjects.”

Published in MIT Press in 2020

Type

Paper

Themes

General

Nowcasting Gentrification Using Airbnb Data

Shomik Jain, Davide Proserpio, Giovanni Quattrone, Daniele Quercia

In this paper, the authors “find that Airbnb data (especially its unstructured part) appears to nowcast neighborhood gentrification, measured as changes in housing affordability and demographics.” Their results “suggest that user-generated data from online platforms can be used to create socioeconomic indices to complement traditional measures that are less granular, not in real-time, and more costly to obtain.”

Published in 2021

Type

Journal Article

Themes

In Practice

General

Can open data increase younger generations’ trust in democratic institutions? A study in the European Union

Nicolás Gonzálvez-Galleg and Laura Nieto-Torrejón

“This paper examines if open government data, a promising governance strategy, may help to boost Millennials’ and Generation Z trust in public institutions and satisfaction with public outcomes.”

Published in PLOS One in 2021

Type

Journal Article

Themes

In Practice

Benefits

Survey Data and Human Computation for Improved Flu Tracking

Stefan Wojcik, Avleen Bijral, Richard Johnston, Juan Miguel Lavista, Gary King, Ryan Kennedy, Alessandro Vespignani, and David Lazer

“We demonstrate how behavioral research, linking digital and real-world behavior, along with human computation, can be utilized to improve the performance of studies using digital data streams. This study looks at the use of search data to track prevalence of Influenza-Like Illness (ILI). We build a behavioral model of flu search based on survey data linked to users’ online browsing data. We then utilize human computation for classifying search strings.”

Published in Nature Communications in 2021

Type

Journal Article

Themes

General

Simple Governance for Data Ecosystems

François Candelon, Massimo Russo, Rodolphe Charme di Carlo, Hind El Bedraoui, Tian Feng

In this article, analysts at The Boston Consulting Group’s Henderson Institute discuss four common barriers to data sharing and six rules that can govern and facilitate data sharing.

Published in The BCG Henderson Institute in 2020

Type

Essay

Themes

Governance and Operations

COVID-19 Data and Data Sharing Agreements: The Potential of Sunset Clauses and Sunset Provisions

Melissa Stock, Tom Orrell

Building upon issues discussed in the C4DC report, “Laying the Foundation for Effective Partnerships: An Examination of Data Sharing Agreements,” this brief examines the potential of sunset clauses or sunset provisions to be a legally binding, enforceable, and accountable way of ensuring COVID-19 related data sharing agreements are wound down responsibly at the end of the pandemic.

Published in Contracts for Data Collaboration in 2020

Type

Report

Themes

In Practice

Partnerships founded on trust: Introducing Contracts for Data Collaboration

Tom Orrell, Hayden Dahmm

This project from TReNDS, the GovLab at New York University, University of Washington, and the World Economic Forum aims to shed light on the opportunities and challenges inherent to data collaboratives, and facilitate understanding of the written agreements that underpin them.

Published in Contracts for Data Collaboration in 2019

Type

Guide

Themes

In Practice

Operations

Using Mobile Data For Health Monitoring: A Case Study of Data Sharing Between Ghana Statistical Services, Vodafone Ghana, and Flowminder Foundation

Hayden Dahmm

This case study documents a data collaboration between the Ghana Statistical Service (GSS), Vodafone Ghana, and Flowminder. The collaboration enabled the GSS to access insights from mobile phone data to plan public health and sustainable development policies, and it is a useful example of how a government and a private company were able to work with an intermediary partner to gain insights from sensitive data.

Published in Contracts for Data Collaboration in 2020

Type

Report

Themes

In Practice

Operations

Covid-19 Resources: Data Sharing Agreements for Public Health

Contracts for Data Collaboration

The COVID-19 pandemic has resulted in new demands for data, in particular, there is growing interest in the use of mobile network operator (MNO) data for tracking population movement. In response to this, SDSN TReNDS on behalf of C4DC, has gathered and analyzed example data sharing agreements (DSAs) that have been used to share MNO data for health applications to help guide other data actors considering similar arrangements.

Published in Contracts for Data Collaboration in 2020

Type

Guide

Themes

In Practice

Development Gateway and the Government of Moldova Collaborate on a Data Management Plan: A Case Study by SDSN TReNDS for C4DC

Hayden Dahmm

This case study documents a data management plan (DMP) established by Development Gateway and the Government of Moldova to collect data on its development and aid programs. It is a useful example of an unsigned data sharing agreement, which can be a valuable alternative for certain data collaborations. The plan was produced through joint-collaborations and negotiations between the Government of Moldova, Development Gateway, and other data contributors.

Published in Contracts for Data Collaboration in 2019

Type

Case Study

Themes

In Practice

UN Environment and Google Partnering to Monitor Global Surface Water: A Case Study by SDSN TReNDS for C4DC

Hayden Dahmm

This case study documents a successful data sharing agreement between a private company and an international organization dealing with global environmental data. Google and UN Environment signed a memoranda of understanding (MOU) in 2018 that formalized their collaboration around measures of surface water. Informed by interviews with the parties and the actual agreement text, this case study describes how the MOU was negotiated and highlights key elements from the MOU.

Published in Contracts for Data Collaboration in 2019

Type

Case Study

Themes

In Practice

Demystifying data sharing: Insights from key stakeholders

Tom Orrell, Hayden Dahmm

This insight report draws extensively on interviews with partners and key stakeholders. It aims to break down the complexities and opacity of DSAs as much as possible and to raise awareness of their value and potential, using terms from project partners and development and humanitarian professionals.

Published in Contracts for Data Collaboration in 2019

Type

Paper

Themes

Operations

“You say you want a [data] revolution”: A proposal to use unofficial statistics for the SDG Global Indicator Framework

Steve MacFeely, Bojan Nastav

“This paper argues that the Global Indicator Framework required to support the 2030 Agenda Sustainable Development Goals will not be successfully populated, using only existing approaches and mechanisms.”

Published in Statistical Journal of the IAOS in 2019

Type

Journal Article

Themes

In Practice

Governance and Operations

Big Data and Gender in the Age of COVID-19: A Brief Series from UC San Diego

Nambamallika Dehinga and Anita Raj

Nambamallika Dehinga and Anita Raj at UCSD present findings from an “analysis of a corpus of tweets by 59 Indian feminist activists, tweeted between March and August 2020. The analysis examines how the feminist community in India has used Twitter as a tool for activism during the COVID-19 pandemic.”

Published in Data2x in 2021

Type

Paper

Themes

Risks and Challenges

A recommendation and risk classification system for connecting rough sleepers to essential outreach services

Harrison Wilde , Lucia L. Chen , Austin Nguyen , Zoe Kimpel , Joshua Sidgwick , Adolfo De Unanue , Davide Veronese , Bilal Mateen , Rayid Ghani and Sebastian Vollmer

This paper discusses “work carried out in partnership with Homeless Link (HL), a UK-based charity, in developing a data-driven approach to better connect people sleeping rough on the streets with outreach service providers.”

Published in Data & Policy in 2021

Type

Paper

Themes

General

Risks and Challenges

Governance of Data Sharing: a Law & Economics Proposal

Inge Graef, Jens PrüferI

This paper explores the need to “mandate sharing of user information in data-driven markets. Existing legal mechanisms to impose data sharing under EU competition law and data portability under the GDPR are not sufficient to tackle this problem.”

Published in Regulating Socio-Technical ChangeLTMS, home of Tilt and TilecDepartment of EconomicsResearch Group: Economics in 2021

Type

Essay

Themes

Governance and Operations

General

Spatial information and the legibility of urban form: Big data in urban morphology

Geoff Boeing

“This paper builds on the theoretical framework of visual cultures in urban planning and morphology to introduce and situate computational data science processes for exploring urban fabric patterns and spatial order.”

Published in 2021

Type

Paper

Themes

In Practice

Give more data, awareness and control to individual citizens, and they will help COVID-19 containment

Mirco Nanni, Gennady Andrienko, Alessandro Vespignani

This paper advocates for a decentralized approach to contract tracing, “where both contact and location data are collected exclusively in individual citizens’ “personal data stores”, to be shared separately and selectively (e.g., with a backend system, but possibly also with other citizens), voluntarily, only when the citizen has tested positive for COVID-19, and with a privacy preserving level of granularity. “

Published in Ethics Inf Technol in 2021

Type

Paper

Themes

Benefits

Operational Guidance on Data Responsibility in Humanitarian Action

IASC Operational Policy and Advocacy Group

This report states “[d]ata responsibility in humanitarian action is the safe, ethical and effective management of personal and non-personal data for operational response. It is a critical issue for the humanitarian system to address and the stakes are high [..] This system-wide Operational Guidance, which is a first, will ensure concrete steps for data responsibility in all phases of humanitarian action.”

Published in 2021

Type

Paper

Themes

In Practice

Governance and Operations

Operations

Public Policy Analytics: Code & Context for Data Science in Government

Ken Steif

This open-access book aims to make data science accessible to social scientists and city planners. Ken Steif writes “I hope to convince readers that one with strong domain expertise plus intermediate data skills can have a greater impact in government than the sharpest computer scientist who has never studied economics, sociology, public health, political science, criminology etc.”

Published in CRC Press in 2021

Type

Guide

Themes

In Practice

Operations

My Data, My Choice? – German Patient Organizations’ Attitudes towards Big Data-Driven Approaches in Personalized Medicine. An Empirical-Ethical Study

Carolin Martina Rauter, Sabine Wöhlke, Silke Schicktanz

This study discusses the growing use of big data in personalized medicine and the need to consider “moral concerns by stakeholders such as patient organizations (POs).”

Published in Journal of Medical Systems in 2021

Type

Essay

Themes

Benefits

Designing Data Trusts. Why We Need to Test Consumer Data Trusts Now

Aline Blankertz

This essay underscores the importance of moving beyond conceptual discussions toward practical experimentation with data trusts. Blankertz notes that “the concept has been endorsed by a broad range of stakeholders, including privacy advocates, companies and expert commissions. In Germany, for example, the data ethics commission and the commission competition law 4.0 have recommended further exploring data trusts, and the government is incorporating the concept into its data strategy.”

Published in Stiftung Neue Verantwortung in 2021

Type

Essay

Blog Post

Themes

In Practice

Public-Private Partnerships: Compound and Data Sharing in Drug Discovery and Development

Andrew Davis, Ola Engkvist, Rebecca Fairclough

In this paper, authors describe “collaborative efforts between public and private entities such as academic institutions, governments, and pharmaceutical companies” for drug discovery and development, providing successful examples and case studies.

Published in 2021

Type

Journal Article

Themes

General

Governance for Innovation and Privacy: The Promise of Data Trusts and Regulatory Sandboxes

Chantal Bernier

This article is written as part of a Statistics Canada and the Centre for International Governance Innovation collaboration to discuss data needs for a changing world: “To protect the data from increasing privacy risks, governance structures emerge to allow the use and sharing of data as necessary for innovation while addressing privacy risks. Two frameworks proposed to fulfill this purpose are data trusts and regulatory sandboxes.”

Published in CIGI Online in 2021

Type

Report

Themes

General

AI Ethics Needs Good Data

Angela Daly, S Kate Devitt, Monique Mann

In this paper, authors offer “recommendations and remedies towards implementing ‘better’ approaches towards AI. Our strategies enable a different (but complementary) kind of evaluation of AI as part of the broader socio-technical systems in which AI is built and deployed.”

Published in Cornell University in 2021

Type

Journal Article

Themes

In Practice

Risks and Challenges

Improved targeting for mobile phone surveys: A public-private data collaboration: Guest post by Kristen Himelein and Lorna McPherson

Kristen Himelein

This paper discusses challenges in mobile phone survey methodologies. They note “mobile phone survey respondents in the poorest countries are more likely to be male, urban, wealthier, and more highly educated” and discuss potential solutions to improve representativeness and boost sample sizes.

Published in World Bank in 2021

Type

Blog Post

Themes

Operations

In Practice

General

The Landscape of Big Data and Gender

Data2x

The Landscape of Big Data and Gender, a report by Data2x, highlights ongoing work of five grantee partners in using “big data” to fill gendered knowledge gaps through improved data stewardship – “filling these gaps makes inequality and discrimination visible, enabling public agencies, businesses, and civil society organizations to enact reforms that move societies closer to the ideals of equality and justice.”

Published in Data2x in 2021

Type

Report

Themes

In Practice

Dialogues about Data: Building trust and unlocking the value of citizens’ health and care data

Sinead Mac Manus and Alice Clay

Sinead Mac Manus and Alice Clay, in the Nesta Report Dialogues about Data: Building trust and unlocking the value of citizens’ health and care data, lay out “two interlinked challenges to building a data-driven health and care system. This is interspersed with best practice examples of the potential of data to improve health and care, as well as cautionary tales of what can happen when this is done badly.”

Published in Nesta in 2021

Type

Report

Themes

General

Data Responsibility

In Practice

Narratives and Counternarratives on Data Sharing in Africa

Rediet Abebe, Kehinde Aruleba, Abeba Birhane, Sara Kingsley, George Obaido, Sekou L. Remy, Swathi Sadagopan

Narratives and Counternarratives on Data Sharing in Africa by Rediet Abebe et al., in FAccT ‘21 argues that “challenges of accessing and sharing African data are too often driven by non-African stakeholders. These perspectives frequently employ a deficit narrative, often focusing on lack of education, training, and technological resources in the continent as the leading causes of friction in the data ecosystem.”

Published in Association for Computing Machinery, NY, US in 2021

Type

Paper

Themes

Risks and Challenges

How Big Data is Transforming the Way We Plan Our Cities

Rawad Choubassi, Lamia Abdelfattah

How Big Data is Transforming the Way We Plan Our Cities, a paper by Rawad Choubassi and Lamia Abdelfattah written for Fondazione Eni Endrico Matteri, contends that the “gains of Big Data and real-time information has not only improved analytical strength, but has also created ripple effects in the systemic approaches of city planning, integrating ex-post studies within the design cycle and redefining the planning process as a microscopic, iterative and self-correcting process.”

Published in Fondazione Eni Enrico Mattei & Systematica in 2020

Type

Paper

Themes

Benefits

In Practice

Radical Secrecy, The Ends of Transparency in Datafied America

Clare Birchall

Clare Birchall’s book Radical Secrecy: The Ends of Transparency in Datafied America, argues that “progressive social goals would be better served by a radical form of secrecy while state and corporate forces hold an asymmetrical advantage over the less powerful in data control,” and proposes a digital “right to opacity.”

Published in University of Minnesota Press in 2021

Type

Essay

Themes

General

Measuring Commuting and Economic Activity inside Cities with Cell Phone Records

Gabriel E. Kreindler, Yuhei Miyauchi

Gabriel Kreindler and Yuhei Miyauchi at MIT shared Measuring Commuting and Economic Activity insideCities with Cell Phone Records, a paper outlining the authors’ use of cell phone data from users in Dhaka and Colombo to show “that commuting flows constructed from cell phone transaction data predict the spatial distribution of wages and income in cities.”

Published in MIT Economics in 2019

Type

Paper

Themes

Benefits

In Practice

Female Victims of Gendered Violence, Their Human Rights and the Innovative Use of Data Technology to Predict, Prevent and Pursue Harms

Jamie Grace

This paper, by Jaimie Grace at Sheffield Hallam University, makes the case for more “investment to explore the use of data-driven technology to predict, prevent and pursue criminal harms against women.”

Published in Social Science Research Network in 2021

Type

Paper

Themes

General

Establishment of Sustainable Data Ecosystems: Recommendations for the evolution of spatial data infrastructures

Sébastien Martin, Prune Gautier, Slim Turki, Alexander Kotsev

This report, by Sébastien Martin, et al. “identifies and analyzes a set of successful data ecosystems and to address recommendations in support of the evolution of contemporary spatial data infrastructures and the implementation of data-driven innovation in line with the recently published European data strategy.”

Published in Publications Office of the European Union, Luxembourg in 2021

Type

Report

Themes

In Practice

Data Responsibility

General

Benefits

The Data Shake

Concilio, G., Pucci, P., Raes, L., Mareels, G.

This open-access book, edited by Grazia Concilio, Paola Pucci, Lieven Raes and Geert Mareels, “investigates the operative and organizational implications related to the use of the growing amount of available data on policy making processes, highlighting the experimental dimension of policy making that, thanks to data, proves to be more and more exploitable towards more effective and sustainable decisions.”

Published in Springer International Publishing in 2021

Type

Case Study

Essay

Themes

General

Data Responsibility

Incentives

Data Access, Consumer Interests and Public Welfare

Edited by German Federal Ministry of Justice and Consumer Protection Max Planck Institute for Innovation and Competition

“Data are considered to be key for the functioning of the data economy as well as for pursuing multiple public interest concerns. Against this backdrop this book strives to device new data access rules for future legislation.”

Published in Max-Planck-Institut für Innovation und Wettbewerb in 2021

Type

Journal Article

Themes

Governance and Operations

General

Data Responsibility

The Emergence of a Third Wave of Open Data

Stefaan G. Verhulst, Andrew Young, Andrew J. Zahuranec, Susan Ariel Aaronson, Ania Calderon, and Matt Gee

Published in Open Data Policy Lab in 2020

Type

Report

Themes

Data Responsibility

General

Responsible Data Re-Use Framework

Andrew Young, Stefaan G. Verhulst, Nadiya Safonova, and Andrew J. Zahuranec

Published in The GovLab in 2020

Type

Report

Themes

General

Data Responsibility

Incentives

In Practice

The Third Wave of Open Data Toolkit

Andrew Young, Andrew J. Zahuranec, Stefaan G. Verhulst, and Kateryna Gazaryan

Published in 2021

Type

Report

Themes

General

Data Responsibility

In Practice

Mobility data sharing during the Covid-19 pandemic

The GovLab and Cuebiq

Published in 2021

Type

Report

Themes

General

Benefits

Incentives

Risks and Challenges

The New Tech Tools in Data Sharing

Massimo Russo and Tian Feng

Published in BCG in 2021

Type

Blog Post

Themes

General

"Sustainable Cities Big Data, Artificial Intelligence and the Rise of Green, “Cy-phy” Cities"

Claudio Scardovi

“This book presents the need to re-imagine the future of cities and move beyond “smart city” strategies: “Global cities are facing an almost unprecedented challenge of change. As they re-emerge from the Covid 19 pandemic and get ready to face climate change and other [threats] they need to look for new ways to support wealth and wellbeing creation – leveraging Big Data and AI and suing them into their physical reality and to become greener, more inclusive and resilient, hence sustainable.”

Published in Springer International Publishing in 2021

Type

Book

Themes

Benefits

In Practice

We Need to Talk About Data: Framing the Debate Around the Free Flow of Data and Data Sovereignty.

Secretariat of the Internet & Jurisdiction Policy Network

This report discusses the importance of standardizing common terminology in the data ecosystem, and “offers key recommendations on how to move forward to foster a collaborative discussion on how to organize our common datasphere.”

Published in We Need to Talk About Data: Framing the Debate Around the Free Flow of Data and Data Sovereignty. in 2021

Type

Report

Themes

Data Responsibility

General

Using Open Data to Monitor the Status of a Metropolitan Area: The Case of the Metropolitan Area of Turin

Filippo Candela, Paolo Mulassano

This paper “presents and discusses the method adopted by Compagnia di San Paolo, one of the largest European philanthropic institutions, to monitor the advancement, despite the COVID-19 situation, in providing specific input to the decision-making process for dedicated projects.”

Published in Using Open Data to Monitor the Status of a Metropolitan Area: The Case of the Metropolitan Area of Turin in 2021

Type

Paper

Themes

In Practice

Operations

General

German Federal Ministry of Justice and Consumer Protection, Max Planck Institute for Innovation and Competition

German Federal Ministry of Justice and Consumer Protection, Max Planck Institute for Innovation and Competition

This book explores new data access rules for future legislation: “the contributions first explain the justification for such rules from an economic and more general policy perspective. Then, building on the constitutional foundations and existing access regimes, they explore the potential of various fields of the law (competition and contract law, data protection and consumer law, sector-specific regulation) as a basis for the future legal framework.”

Published in 2021

Type

Book

Themes

Data Responsibility

General

Governance and Operations

Leave No Migrant Behind: The 2030 Agenda and Data Disaggregation

International Organization for Labor Migration

The International Organization for Migration (IOM) published Leave No Migrant Behind: The 2030 Agenda and Data Disaggregation, a guide to help promote migrant-inclusive data practices for those working to achieve Sustainable Development Goals. “To date, disaggregation of global development data by migratory status remains low. Migrants are largely invisible in official SDG data. As the global community approaches 2030, very little is known about the impact of the 2030 Agenda on migrants.”

Published in 2021

Type

Guide

Themes

Data Responsibility

In Practice

Confronting Data Inequality

Angelina Fisher and Thomas Streinz

This paper argues “that data inequality is a function of unequal control over the infrastructures that generate, shape, process, store, transfer, and use data. Existing law often regulates data as an object to be transferred, protected, and shared and is not always attuned to the salience of infrastructural control over data.”

Published in World Development Report 2021 background paper in 2021

Type

Paper

Themes

General

Control Creep: When the Data Always Travels, So Do the Harms

Sun-ha Hong

This essay explores the idea of control creep, which entails: “data-driven technologies [being] pitched for a particular context and purpose, but quickly expand[ing] into new forms of control. Although we often think about data use in terms of trade-offs or bargains, such frameworks can be deeply misleading.”

Published in Centre for International Governance Innovation in 2021

Type

Essay

Themes

Governance and Operations

General

Advancing data literacy in the post-pandemic world

Archita Misra

This paper “presents a few insights with key elements of the literature on data literacy, and then covers common practices of implementing data literacy programmes. It concludes by sharing some takeaways that emerged out of this stock-taking exercise and proposes a few questions to spur further dialogue and discussion”

Published in PARIS21 in 2021

Type

Paper

Themes

General

In Practice

The Case for Local Data Sharing Ordinances

Beatriz Botero Arcila

This paper argues that there is a way in which local governments and other non-private sector stakeholders can access data from technology companies, “without harming the legitimate privacy interests of both individuals and companies.”

Published in William & Mary Bill of Rights Journal, Forthcoming in 2021

Type

Paper

Themes

General

Benefits

Resetting Data Governance: Authorized Public Purpose Access and Society Criteria for Implementation of APPA Principles

Yusuke Inoue, Masako Okamoto, Takanori Fujita, Seiichiro Yamamoto, Takafumi Ochiai

This white paper proposes a practical approach to implementing APPA – “a new data governance model that aims to strike a balance between individual rights and the interests of data holders and the public interest” – to support organizations and governments achieve public goals through data use.

Published in World Economic Forum in 2021

Type

Report

Themes

In Practice

Bridging the Data-Policy Gap in Africa

Paris 21 and the Mo Ibrahim Foundation

This working paper explores the role that accurate national statistics play in designing policies that sufficiently address the needs of citizens and hold governments accountable. It provides “recommendations to national and statistical offices and governments to enhance the production and use of data for evidence-based policymaking.”

Published in 2021

Type

Report

Themes

Data Responsibility

Governance and Operations

Responsible Data Science

Grant Fleming, Peter C. Bruce

Responsible Data Science explores prevalent ethical issues in data science and “delivers a comprehensive, practical treatment of how to implement data science solutions in an even-handed and ethical manner that minimizes the risk of undue harm to vulnerable members of society.”

Published in Wiley in 2021

Type

Book

Themes

In Practice

Risks and Challenges

Mapping the United Nations Fundamental Principles of Official Statistics against new and big data sources

Dominik Rozkrut, Olga Świerkot-Strużewska, and Gemma Van Halderen

This paper describes the UN Fundamental Principles for Official Statistics in relation to 8 new data sources, arguing that “these data sources should be used if National Statistical Systems are to adhere to the first Fundamental Principle of compiling and making available official statistics that honor citizen’s entitlement to public”

Published in IOS Press in 2021

Type

Paper

Themes

Risks and Challenges

Data Responsibility

The EU General Data Protection Regulation: A Commentary/Update of Selected Articles

Christopher Kuner, Lee A. Bygrave, Christopher Docksey, Laura Drechsler, Luca Tosoni

This paper “provides an update for selected articles of the GDPR Commentary published in 2020 by Oxford University Press […] It also includes two appendices that cover the same period as the rest of this update: the first deals with judgments of the European courts and some selected judgments of particular importance from national courts, and the second with EDPB papers.”

Published in SSRN in 2021

Type

Paper

Themes

General

Governance and Operations

Data for Good Collaboration: research report

Kath Albury, Amir Aryani, Jane Farmer, James Kelly, Anthony McCosker, Sandun S. Silva, Julie Tucket, Jihoon Woo

This report presents findings from the Swimburne Research bank’s partnership with Lord Mayor’s Charitable Foundation, Entertainment Assist, Good Cycles and Yooralla Disability Services. “The project had two aims: [1] Build organisational data capacity through knowledge sharing about data literacy, expertise and collaboration [2] Deliver data insights through a methodology of collaborative data analytics”

Published in Swiburne Research Bank in 2021

Type

Report

Themes

In Practice

Sarah Giest, Jose M. Miotto, and Wessel Kraaji

Sarah Giest, Jose M. Miotto, and Wessel Kraaji

This paper describes challenges to the data-driven analyses of existing poverty programs, feeding “into the discourse on how to operationalize and design data matching work in the multidimensional space of poverty and nonmonetary government initiatives.”

Published in Data & Policy in 2021

Type

Paper

Themes

In Practice

Land Portal

Land Portal

The report is “a resource aimed to be used by governments from developing countries to collect and release land-related data to improve data quality, availability, accessibility and use for improved citizen engagement, decision making and innovation.”

Published in 2021

Type

Report

Themes

In Practice

General

Data Responsibility

The Case for Better Governance of Children's Data: A Manifesto

Jasmina Byrne, Emma Day and Linda Raftree

This report calls for a new governance model to ensure “that children’s rights are given due weight in data governance legal frameworks and processes as they evolve around the world.”

Published in UNICEF in 2021

Type

Report

Themes

Governance and Operations

General

Data Responsibility

Governance mechanisms for sharing of health data: An appraoch towards selecting attributes for complex discrete choice experiment studies

Jennifer Viberg Johansson, Nisha Shah, Eik Haraldsdottir, Heidi Beate Bentzen, Sarah Coy, Jane Kaye, Deborah Mascalzoni, Jorien Veldwijk

This paper describes “the process of identifying attributes for a study aiming to elicit preferences of citizens in Sweden, Iceland and the UK for governance mechanisms for digitally sharing different kinds of health data in different contexts.”

Published in Technology in Society in 2021

Type

Paper

Themes

General

In Practice

Moving up: Promoting workers' upward mobility using network analysis

Marcela Escobari, Ian Seyal, and Carlos Daboin Contreras

“This report offers a new approach to better understand the contours of mobility: Who is falling behind, where, and by how much. Using data on hundreds of thousands of real workers’ occupational transitions, we use network analysis to create a multidimensional map of the labor market, revealing a landscape riddled with mobility gaps and barriers.”

Published in Brookings in 2021

Type

Report

Themes

General

In Practice

Living In Data: A Citizen's Guide to a Better Information Future

Jer Thorp

In this book, Jer Thorp asks the question: “How do we stop passively inhabiting data, and instead become active citizens of it?” The book “not only redefines what data is, but reimagines who gets to speak its language and how to use its power to create a more just and democratic future.”

Published in Macmillan Publishers in 2021

Type

Book

Themes

General

Benefits

Big data for economic statistics

Irina Bernal

The UN Economic and Social Commission for Asia and the Pacific released the brief, Big Data for economic statistics. “This brief highlights examples of the use of big data sources for generating economic statistics from the national statistical systems, mostly the National Statistical Offices (NSO), in Asia and the Pacifics”

Published in United Nation ESCAP Stats Brief in 2021

Type

Paper

The coloniality of collaboration: sources of epistemic obedience in data-intensive astronomy in Chile

Sebastian Lehuede

The coloniality of collaboration: sources of epistemic obedience in data-intensive astronomy in Chile by Sebastian Lehuede in Information, Communication and Society, “warns that an increased emphasis on collaboration runs the risk of reproducing planetary hierarchies in times of data-intensive research.”

Published in Information, Communication and Society in 2021

Type

Journal Article

Machine Learning and Mobile Phone Data Can Improve the Targeting of Humanitarian Assistance

Emily AIken

This paper by Emily Aiken et al. for the National Bureau of Economic Research shows “that non-traditional “big” data from satellites and mobile phone networks can improve the targeting of anti-poverty programs […] These results highlight the potential for new data sources to contribute to humanitarian response efforts, particularly in crisis settings when traditional data are missing or out of date.”

Published in National Bureau of Economic Research in 2021

Type

Paper

Partners for Review, Danish Institute for Human Rights, International Civil Society Centre

Partners for Review, Danish Institute for Human Rights, International Civil Society Centre

Partners for Review, Danish Institute for Human Rights, International Civil Society Centre published the joint learning report, Inclusive SDG Data Partnerships. “This learning report gathers knowledge and recommendations from the Inclusive SDG Data Partnerships initiative [..] to advance data partnerships for the SDGs and to strengthen multi-actor data ecosystems at the national level.”

Published in Danish Institute for Human Rights in 2021

Type

Report

Principled Data Access: Building Public-private Data Partnerships for Better Official Statistics

Claudia Biancotti, Oscar Borgogno, and Giovanni Veronese

Principled Data Access: Building Public-private Data Partnerships for Better Official Statistics by Claudia Biancotti, Oscar Borgogno, and Giovanni Veronese in the Bank of Italy Occasional Paper Series argues for the need for greater transparency and access to official statistics, and proposes “a set of principles under which the public and the private sector can form partnerships to leverage the potential of new-generation data in the public interest.”

Published in Bank of Italy Occasional Paper Series in 2021

Type

Paper

The Patient, Data Protection and Changing Healthcare Models

Griet Verhenneman

The Patient, Data Protection and Changing Healthcare Models by Griet Verhenneman “assesses the adequacy of [three principles of the European data protection law – informed consent, anonymisation and purpose limitation] and considers them in the context of technological and societal evolutions.”

Published in Intersentia in 2021

Type

Book

Exploring city digital twins as policy tools: A task-based approach to generating synthetic data on urban mobility

Gelb Pepyshev and Masaru Yarime

In Data & Policy, this paper by Gelb Pepyshev and Masaru Yarime “analyzes the history of the development of the concept of digital twins and how it is now being adopted on a city-scale […] and its potential applications in the policymaking context.” See also the “Digital Twins” entry in The Living Library’s 21st Century Vocabulary series.

Published in Cambridge University Press in 2021

Type

Paper

New Approaches to Platform Data Research

Elizabeth Hansen Shapiro, Michael Sugarman, Fernando Bermejo, Ethan Zuckerman

This report “explores the challenges and potentials of a wide range of approaches to studying social media platforms, ranging from cooperative to adversarial strategies” and “represents the results of 32 interviews, and includes an overview of the different ways researchers are trying to understand social media data, the obstacles to accessing that data, and a set of recommendations for policymakers and philanthropic funders to increase access to that data.”

Published in NetGain Partnership in 2021

Type

Report

Enabling secure and scalable non-financial reporting and data flows

Gavin Starks, Miles Cheetham, Jannah Patchay

This report presents “the scope and complexity of data sharing across markets, supply and value-chains” and “[highlights] challenges that create friction, inertia and inhibit action in delivering goals, including hard-programmed habits and underlying presuppositions and premises.” It also explores “solutions that can reduce friction in data-sharing and propose levers of change that can help unlock innovation (e.g. policy and regulatory, perception shifts, behavioral changes)”

Published in Icebreaker One in 2021

Type

Report

Better Business to Government (B2G) data sharing that works for cities and people

Wilma Dragonetti

Published in EuroCities in 2021

Type

Report

Guide

How the Federal Government Buys Our Cell Phone Location Data

Bennett Cyphers

This piece discusses how “data brokers and federal military, intelligence, and law enforcement agencies have formed a vast, secretive partnership to surveil the movements of millions of people.” It provides an overview of how different organizations acquire data and then sell it to or share it with other parties.

Published in Electronic Frontier Foundation in 2022

Type

Blog Post

Seeking data sovereignty, a First Nation introduces its own license

Caitrin Pilkington

This piece describes an effort by the Łı́ı́dlı̨ı̨ Kų́ę́ First Nation of the Northwest Territories of Canada, in partnership with the Scotty Creek research facility, to create a new application process for researchers to use to request data on the community. The process asks researchers to declare all raw data will be co-owned by the First Nation among other details.

Published in Cabin Radio in 2022

Type

Blog Post

What makes administrative data research-ready?

Louise Mc Grath-Lone, Matthew A Jay, Ruth Blackburn, Emma Gordon, Ania Zylbersztejn, Linda Wijlaars, Ruth Gilbert

This article provides an overview and thematic analysis of why administrative data is such a rich research resource. The piece defines “the characteristics of research-ready administrative data based on a systematic review and synthesis of existing literature.”

Published in The International Journal of Population Data Science (IJPDS) in 2022

Type

Journal Article

Open data: The building block of 21st century (open) science

Corina Pascu and Jean-Claude Burgelman

This paper identifies the potential benefits of data sharing and open science when data is open and findable, accessible, interoperable, and reusable. The authors highlight the opportunities and risks posed by open research data (ORD). “However, minimal safeguards need to be put in place for open research data to stay open. The policy challenge is how to avoid misuse by public and private actors and dependability of all kind of providers.”

Published in Data & Policy in 2022

Type

Journal Article

Data sharing between humanitarian organisations and donors

Larissa Fast

This paper “examines data sharing between humanitarian organisations and donors, with a focus on governing frameworks and how these are implemented and avenues for more responsible data sharing.” It seeks to identify new responsible practices.

Published in The Norwegian Centre for Humanitarian Studies in 2022

Type

Paper

Transparency of open data ecosystems in smart cities: Definition and assessment of the maturity of transparency in 22 smart cities

Martin Lnenicka, Anastasija Nikiforova, Mariusz Luterek, Otmane Azeroual, Dandison Ukpabi, Visvaldis Valtenbergs, Renata Machova

The piece examines 34 smart city data portals across 24 cities and assesses their maturity, identifying ways that future portals might be more “sustainable, transparent, citizen-centered, and socially resilient.”

Published in Sustainable Cities and Society in 2022

Type

Journal Article

Time to recognize authorship of open data

N/A

This article argues that “the open data revolution won’t happen unless the research system values the sharing of data as much as authorship on papers.” It urges researchers to credit all those who contribute their knowledge to research output.

Published in Nature in 2022

Type

Magazine Article

Making forest data fair and open

Renato A.F. Lima and colleagues

This piece notes that “data on tropical forests are in high demand. But ground forest measurements are hard to sustain and the people who make them are extremely disadvantaged compared to those who use them.” The authors propose a new approach focused on “the needs of data originators, and ensures users and funders contribute properly.”

Published in Nature in 2022

Type

Journal Article

Better data for better therapies: The case for building health data platforms

Matthias Evers, Lucy Pérez, Lucas Robke, and Katarzyna Smietana

This piece suggests that “health data platforms that participants trust could bring an end to today’s reductionist approach to drug development, revolutionizing our understanding of the disease.

Published in McKinsey & Company in 2022

Type

Blog Post

Intermediaries do matter: voluntary standards and the Right to Data Portability

Matteo Nebbiai

This piece describes an understudied application of the European Union’s General Data Protection Regulation on data portability. It describes how the Right to Data Portability framework’s wording “creates some “grey areas” that allow data controllers a broad interpretation of the right” and “shows why the regulatory initiatives affecting the interpretation of these “grey areas” can be framed as “regulatory standard-setting (RSS) schemes.”

Published in Internet Policy Review in 2022

Type

Journal Article

Open Data for Social Impact Framework

N/A

The framework is “a tool leaders can use to put data to work to solve the challenges most important to them.” It offers a way for organizations to assess their infrastructure, understand the questions they want to answer with data, assemble talent in their organization, and build community trust. The framework synthesizes lessons learned from the GovLab’s Open Data Policy Lab initiative and other efforts in the field.

Published in Microsoft in 2022

Type

Report

Data Types, Data Doubts & Data Trusts

João Marinotti

This article is an article describing the diversity of concepts included in “data” and how these concepts require different governance regimes in commerce, life, and law. It also argues that data trusts, as a form of governance, need to ensure they can be recognized as a trust (of property) under the law of the jurisdiction in which they operate.

Published in New York University Law Review Online in 2022

Type

Journal Article

NIH issues a seismic mandate: share data publicly

Max Kozlov

The news item describes a new requirement by the US National Institutes of Health that funded organizations include a data-management plan in their grant applications. The author describes the move as one that could “set a global standard for biomedical research.”

Published in Nature in 2022

Type

Magazine Article

Themes

In Practice

Governance and Operations

Measuring Data Demand Within the Public Sector

Charlotte van Ooijen, Nathan da Silva Carvalho, Alice Iordache, David Osimo

The piece “provides an overview of the state-of-the-art of existing approaches and indicators in the European open data landscape to assess public institutions’ needs as data re-users.”

Published in data.europa.eu in 2022

Type

Paper

Data Dissemination in the Digital Age

N/A

This is a report on the state of data portals in national statistical offices. The report “proposes a holistic method to evaluate data portals and proposes recommendations to improve their use and function.”

Published in PARIS21 in 2021

Type

Report

Shared Measures: Collective Performance Data Use in Collaborations

Alexander Kroll

This article examines how collaborations between the public sector and private and nonprofit organizations can operate. The piece draws on a case study in North Carolina to respond to the opioid epidemic to understand ideas of “shared measures” and “collective data use.”

Published in Cambridge University Press in 2022

Type

Journal Article

EU and US legislation seek to open up digital platform data

Brandie Nonnecke And Camille Carlton

The piece describes “two notable, legislative efforts aimed at opening up platform data: the Digital Services Act (DSA), recently approved by the European Parliament, and the Platform Accountability and Transparency Act (PATA), recently proposed by several US senators.”

Published in Science in 2022

Type

Journal Article

Open Data Governance and Its Actors

Maxat Kassen

This piece examines the driving forces that initiate and advance open data governance. It relies on theory and practice from Finland and Sweden to illustrate these concepts.

Published in Palgrave Macmillan in 2022

Type

Journal Article

Themes

General

In Practice

Governance and Operations