Cross-posted on http://thegovlab.org/data-prizes-and-challenges-as-data-collaboratives-terms-and-conditions/
By Jos Berens and Stefaan G. Verhulst
Over the last few months we have noticed increased discussion and activity around “data collaboratives” in which participants from different sectors — including private companies, research institutions, and government agencies — exchange data to help solve public problems. Efforts such as the Orange Data for Development Challenge, where private sector actors are exploring new ways to make data available to address societal challenges, are encouraging. In parallel with rising interest in such initiatives comes an increased need to consider how to share corporate data while mitigating internal and external risks.
There exist several methods to share corporate data including open API’s, data-enclaves and grand data challenges and prize-induces contests. The latter are unique as they allow a variety of actors to find new solutions using a shared dataset. Leveraging the power of the crowd, this method of open problem solving is particularly fitting for the big data space as it helps give back power to data subjects and their peers. It expands upon other efforts to leverage open innovation tools including prizes and challenges.
The GovLab Selected Readings on Data Governance
Cross-posted from http://thegovlab.org/the-govlab-selected-readings-on-data-governance/
By Jos Berens and Stefaan G. Verhulst
Our work on Data Collaboratives starts from the assumption that sharing and opening-up private sector datasets has great – and yet untapped - potential for promoting social good (See for instance GovLab selected readings on data collaboratives). At the same time, the potential of data collaboratives depends on the level of societal trust in the exchange, analysis and use of the data exchanged. Strong data governance frameworks are essential to ensure responsible data use. Without such governance regimes, the emergent data ecosystem will be hampered and the (perceived) risks will dominate the (perceived) benefits. Further, without adopting a human-centered approach to the design of data governance frameworks, including iterative prototyping and careful consideration of the experience, the responses may fail to be flexible and targeted to real needs.
To help develop new approaches to sharing corporate data assets for social good, GovLab is working with Leiden University (The Netherlands) and the World Economic Forum Data-Driven Development project. Our Data Governance Project aims to design and implement the approaches and tools needed to unleash the datasets that could be used to improve people’s lives. Our work builds upon existing efforts and findings, some of them curated and documented below. For more information about the Data Governance Project please contact Jos Berens or Stefaan Verhulst.
Thank you for visiting our brand-new data governance weblog. This space will be a repository of original and referenced material produced by or used in the Data Governance Project, a collaboration between Leiden University's Peace Informatics lab, NYU's GovLab and the World Economic Forum Data-Driven Development Initiative. The central theme of these posts will be the governance of data use for social good. Materials will include research findings, conference reports, and suggestions for relevant reading materials.
Contact details can be found on the right hand side of this page. Please do not hesitate to reach out with any questions or comments regarding the posts. We hope that you will find the materials in this space useful for informing your work and look forward to seeing your replies!
Josje Spierings is head of the Secretariat of the International Data Responsibility Group, a collaboration between the Data & Society Research Institute, Data-Pop Alliance, the GovLab at NYU, UN Global Pulse, Signal Program - Harvard Humanitarian Initiative - Harvard University and Leiden University.