India’s Federal Procurement Data Infrastructure: Observations and Recommendations

Adam, I., Tóth, B., Dávid-Barret, E., Fazekas, M. (2020). India’s Federal Procurement Data Infrastructure: Observations and Recommendations. GTI-R/2020:1, Budapest: Government Transparency Institute.

Improving transparency in public procurement, that is publishing more and better-quality data, supports accountability by enabling greater scrutiny over processes and outcomes as well as helping to achieve greater competition and better value for money. In India, according to the Ministry of Finance General Financial Rules (2017), all procuring authorities are responsible and accountable for ensuring transparency, fairness, equality, competition and appeal rights in contracting. The transparency principle is about making information easily accessible to the public: it …

Read More

Corruption risk in contracting markets: A network science perspective

Wachs,J., Fazekas, M., Kertész, J. (2020). Corruption risk in contracting markets: A network science perspective. International Journal of Data Science and Analytics. Available online.

We use methods from network science to analyze corruption risk in a large administrative dataset of over 4 million public procurement contracts from European Union member states covering the years 2008–2016. By mapping procurement markets as bipartite networks of issuers and winners of contracts, we can visualize and describe the distribution of corruption risk. We study the structure of these networks in each member state, identify their cores, and find that highly centralized markets tend to …

Read More

Data update of World Bank, IADB, and EuropeAid datasets on development aid funded contracts and projects

The DFID-funded project “Curbing Corruption in Government Contracting” is releasing an update on the datasets collected on development projects, public tenders, and contracts for three major donor agencies: the World Bank, the Inter-American Development Bank (IADB), and EuropeAid. The datasets not only republish structured data gathered from official source websites, but also contain corruption risk red flags developed by the research team.

About the project

The project entitled “Curbing Corruption in Government Contracting” analyses how procurement can be manipulated for corrupt ends using a prize-winning ‘red flags’ methodology developed by Mihály Fazekas. We collect datasets of procurement tenders and contracts, …

Read More

Why is collecting and analysing data about public procurement so damned difficult? Data scientists explain some common problems

David-Barrett, E. (2019). Why is collecting and analysing data about public procurement so damned difficult? Data scientists explain some common problems. Originally published on the ACE-Global Integrity blog: https://ace.globalintegrity.org/dataexplainer/

Open data is often lauded as a magic pill for anti-corruption: reveal what’s going on, inform the public, and, presto, government will become more accountable. Oh, and big data just means bigger gains, right?

Not quite. We have written elsewhere about the institutional and political challenges that can hinder the transparency –> accountability transformation. But even the very first stage — collecting the data — is much harder than it seems. …

Read More

Big data analytics as a tool for auditors to identify and prevent fraud and corruption in public procurement

Adam, I. & Fazekas, M. (2019). Big data analytics as a tool for auditors to identify and prevent fraud and corruption in public procurement. European Court of Auditors Journal 2/2019: pp. 172-179.

ECA Journal Short Read:

Government contracts and big data analytics – big data in public procurement can help auditors on two levels: (1) it can facilitate decisions about monitoring, audit and investigations; (2) it can inform country or sector-wide policy decisions on resource allocation and regulations.

Measuring corruption requires a proxy – a ‘corruption risk index’ (CRI) has been developed, combining four observable risk indicators: (1) tendering risk; …

Read More