- 767 Downloads
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).
The rise of the open data movement means that a growing amount of data is today being broken out of information silos and released or shared with third parties. Yet despite the growing accessibility of data, there continues to exist a mismatch between the supply of, and demand for, data (Verhulst & Young, 2018). This is because supply and demand are often widely dispersed – spread across government, the private sector, and civil society – meaning that those who need data do not know where to find it, and those who...
KeywordsData Data sharing Data for good Open data Corporate social responsibility Public-private partnerships Collaboration
- Adler, N., Cattuto, C., Kalimeri, K., Paolotti, D., Tizzoni, M., Verhulst, S., et al. (2019). How search engine data enhance the understanding of determinants of suicide in India and inform prevention: Observational study. Journal of Medical Internet Research, 21, e10179.Google Scholar
- Alemanno, A. (2018). Data for good: Unlocking privately-held data to the benefit of the many. European Journal of Risk Regulation. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3194040.
- Buchanan, J., & Kock, N. (2001). Information overload: A decision making perspective. In M. Köksalan & S. Zionts (Eds.), Multiple criteria decision making in the new millennium. Lecture notes in economics and mathematical systems (Vol. 507). Heidelberg/Berlin: Springer.Google Scholar
- De Meersman, F., Seynaeve, G., Debusschere, M., Lusyne, P., Dewitte, P., Baeyens, Y., et al. (2016). Assessing the quality of mobile phone data as a source of statistics. In European conference on quality in official statistics. https://ec.europa.eu/eurostat/cros/system/files/assessing_the_quality_of_mobile_phone_data_as_a_source_of_statistics_q2016.pdf
- de Montjoye, Y., Gambs, S., Blondel, V., Canright, G., de. Cordes, N., Deletaille, S., et al. (2018). On the privacy-conscientious use of mobile phone data. Scientific Data, 5, 180286. https://doi.org/10.1038/sdata.2018.286.
- de Montjoye, Y., Kendall, J., & Kerry, C. F. (2014). Enabling humanitarian use of mobile phone data. Brookings. https://www.brookings.edu/research/enabling-humanitarian-use-of-mobile-phone-data/
- Gauvin, L., Tizzoni, M., Piaggesi, S., Young, A., Adler, N., Verhulst, S., et al. (2020). Gender gaps in urban mobility. Nature Humanities and Social Science Communications, 7. https://www.nature.com/articles/s41599-020-0500-x.
- Hajian, S., Bonchi, F., & Castillo, C. (2016). Algorithmic bias: From discrimination discovery to fairness-aware data mining. In KDD '16: Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining. https://dl.acm.org/doi/abs/10.1145/2939672.2945386
- Klievink, B., van der Voort, H., & Veeneman, V. (2018). Creating value through data collaboratives. Information Policy, 23, 379–397.Google Scholar
- O’Hara, K. (2019). Data trusts: Ethics, architecture and governance for trustworthy data stewardship. https://www.researchgate.net/publication/331275252_Data_Trusts_Ethics_Architecture_and_Governance_for_Trustworthy_Data_Stewardship/
- OECD. (2019). Enhancing access to and sharing of data: Reconciling risks and benefits for data re-use across societies. https://www.oecd.org/sti/ieconomy/enhancing-access-to-and-sharing-of-data-276aaca8-en.htm
- Solove, D. J., & Citron, D. K. (2017). Risk and anxiety: A theory of data-breach harms. Texas Law Review. https://heinonline.org/HOL/LandingPage?handle=hein.journals/tlr96&div=28&id=&page=
- Verhulst, S. (2017). Corporate social responsibility for a data age. Stanford Social Innovation Review. https://ssir.org/articles/entry/corporate_social_responsibility_for_a_data_age#
- Verhulst, S., & Sangokoya, D. (2015). Data collaboratives: Exchanging data to improve people’s lives. Medium. https://medium.com/@sverhulst/data-collaboratives-exchanging-data-to-improve-people-s-lives-d0fcfc1bdd9a
- Verhulst, S., & Young, A. (2018). How the data that internet companies collect can be used for the public good. Harvard Business Review. https://hbr.org/2018/01/how-the-data-that-internet-companies-collect-can-be-used-for-the-public-good
- Verhulst, S., Young, A., & Srinivasan, P. (2016). An Introduction to Data Collaboratives: Creating Public Value by Exchanging Data. https://datacollaboratives.org/static/files/data-collaboratives-intro.pdf
- Verhulst, S, Young, A., Winowatan, M., & Zahuranec, A. J. (2019). Leveraging private data for public good: A descriptive analysis and typology of existing practices. https://datacollaboratives.org/existing-practices.html
- Young, A., & Verhulst S. (2016). Battling Ebola in Sierra Leone: Data sharing to improve crisis response. Open data’s impact. http://odimpact.org/case-battling-ebola-in-sierra-leone.html
- Beckwith, R., Sherry, J., Pendergast, D. (2018). Data flow in the Smart City: Open data versus the commons. In M. de Lange & M. de Waal (Eds.), The Hackable City: Digital media and Collaborative City-making in the network society (pp. 205–221). Singapore: Springer.Google Scholar
- High-Level Expert Group on Business-to-Government Data Sharing. (2020). Towards a European strategy on business-to-government data sharing for the public interest. https://www.euractiv.com/wp-content/uploads/sites/2/2020/02/B2GDataSharingExpertGroupReport-1.pdf
- King, G., & Persily, N. (2019). A new model for industry-academic partnerships. PS: Political science and politics. Publisher’s Version Copy at https://j.mp/2q1IQpH
- World Economic Forum. (2019). Data collaboration for the common good: Enabling trust and innovation through public-private partnerships. https://www.weforum.org/reports/data-collaboration-for-the-common-good-enabling-trust-and-innovation-through-public-private-partnerships
- Young, M., Rodriguez, L., Keller, E., Sun, F., Sa, B., Whittington, J., et al. (2019). Beyond open vs. closed: balancing individual privacy and public accountability in data sharing. In FAT* '19: Proceedings of the conference on fairness, accountability, and transparency. Association for Computing Machinery, pp 191–200, https://doi.org/10.1145/3287560.3287577