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U4 Anti-Corruption Resource Centre

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Blog post | 2024

Decoding corruption: The DATACORR database for better survey questions. Using the DATACORR database to design better survey questions

Luís de Sousa, Felippe Clement, Gustavo Gouvêa Maciel (2024)
U4 Blog Post
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https://www.u4.no/blog/decoding-corruption

Policymakers need to decode which types of corruption raise public concern and where intervention is urgent. The DATACORR database of 3,000+ survey questions can help develop innovative, appropriate techniques for mapping corruption.

Read more:
https://www.u4.no/blog/decoding-corruption

U4 Anti-Corruption Resource Centre

Feb 2002 - Dec 2026
  • Corruption
  • Corruption
  • Anti-corruption interventions
  • Anti-corruption tools
  • Corruption risk assessment
  • Datasets
  • Innovation
  • Measurement

Also from this project:

U4 Brief | Jan 2025

Artificial intelligence in anti-corruption – a timely update on AI technology

Dieter Zinnbauer

U4 Issue | Jan 2025

Sustainability reporting and anti-corruption provisions: unlocking the potential for impact

Guillaume Nicaise, Kaunain Rahman

See also:

Journal Article | Jan 2025

Fragmenting forest governance: Land tenure and the REDD+ paradox in Kigoma pilot project, Tanzania

Emma Jane Lord

Political Geography

Blog post | Jan 2025

Assessing the quality of corruption surveys for SDG 16.5 monitoring and beyond

Giulia Mugellini

Blog post | Jan 2025

Five ways for anti-corruption conditionality to succeed in Ukraine

Michael Martin Richter

Blog post | Jan 2025

Unlocking AI’s potential in anti-corruption: Hype vs. reality.

Guillaume Nicaise, Daniel Sejerøe Hausenkamph

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