The promise and perils of data for anti-corruption efforts in international development work
How to cite this publication:
Daniel Berliner, Kendra Dupuy (2018). The promise and perils of data for anti-corruption efforts in international development work. Bergen: Chr. Michelsen Institute (U4 Brief 2018:7)
Big and open data sources can empower development practitioners and aid recipients to reduce the harmful effects of corruption in development. Data on public procurement, campaign contributions, asset disclosure and other data types can be useful in this regard. Find out how you may apply such data for anti-corruption efforts, but be aware of challenges to using data effectively. This includes disclosure thresholds, technical complexities, a need to interpret the data, and a lack of consistent standards for dataset construction.
