Do You Know about Open Data in Burundi, Colombia, Nepal, South Africa or Tanzania; Or Want to Learn More? Sign up NOW!

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Continuing the GovLab’s practice of seeking broad input on our work prior to formal publication, we are today opening the first batch of case studies from the Open Data for Developing Economies project for peer review. These case studies were developed in collaboration with USAID, FHI 360’s Mobile Solutions Technical Assistance and Research (mSTAR) and the Web Foundation.

By opening the peer review process, we hope to gain input not just from a group of the ‘usual suspects’, but from a broad array of people with knowledge relevant to the initiatives, regions, and sectors under examination. This input will help us to ensure that clarity and comprehensiveness of our findings, and improve the quality of this common resource for the fields of open data research and practice.


The case studies being opened for peer review today are:

  • Burundi: Open Results and Performance Based Financing
  • Colombia: Establishing Climate Resilience in Agriculture
  • Nepal: Open Data to Improve Disaster Relief
  • South Africa: Code4SA Cheaper Medicines for Consumers
  • Tanzania: Open Education Dashboards

How it Works

  • Recognized Peer Reviewers: To sign up to be a Recognized Peer Reviewer, complete this short form to share more about your interest and expertise. Once signed up, we will provide you access to the draft final report along with a brief questionnaire to solicit your input. Upon completing the review, your name (and affiliation) will be added to our list of peer reviewers. Note: The peer review for the first batch of case studies will close on Friday, December 16th.
  • Open Peer Review: Two weeks after the Recognized Peer Reviewers receive access, the case studies will be made openly accessible and linked on the GovLab Open Peer Review hub. Using the comment function in Google Docs, all interested parties will be able to review and share suggestions, clarifications, notes on potential inaccuracies, or any other useful input to inform finalization prior to publication.