Data Collaborative

Acc. GovLab / datacollaboratives.org, Data Collaboratives are a new form of collaboration, beyond the public-private partnership model, in which participants from different sectors  –  in particular companies  –  exchange their data to create public value.

“In the coming month and years, data collaboratives will be essential vehicles for harnessing the vast storesof privately held data toward the public good.” 

Stefaan G. Verhulst 

5 Ways Data Collaboratives create Public Value (acc. Datacollaboratives.com): 

  • Situational Awareness and Response
    A greater understanding and ability to track conditions on the ground can improve interventions, including especially during emerging situations like crisis relief.
  • Public Service Design and Delivery
    Access to previously inaccessible datasets can enable more accurate modelling of public service design and guide service delivery in a targeted, evidence-based manner.
  • Knowledge Creation and Transfer
    Bringing more and more diverse datasets to bear can fill knowledge gaps and ensure that those responsible for solving problems have the most useful information at hand.
  • Prediction and Forecasting
    New predictive capabilities enabled by access to datasets can help institutions be more proactive, putting in place mechanisms based on sound evidence that mitigate problems or avert crises before they occur.
  • Impact Assessment and Evaluation
    Access to additional datasets can help institutions monitor and evaluate the real-world impacts of policies and inform iteration.