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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