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Welcome to the procuR Project (prototype v1.0)

Documentation, source materials, and analytical methodologies for working with public procurement contract data

📘 About this repository

⚙️ Data-cleaning codebase under development

The data-cleaning codebase is currently under development; therefore, the analysis pipelines presently rely on data from the ProAct data. At this stage of the project, datasets can be downloaded on a country-by-country basis from ProAct and integrated into the pipeline to generate analytical outputs.

This repository contains:

  • index.Rmd — this homepage
  • integrity_report.Rmd and integrity_report.R — analysis of public procurement transparency
  • admin_eff_report.Rmd and admin_eff.R — analysis of public procurement administrative efficiency
  • econ_out_report.Rmd and econ_out.R — analysis of public procurement economic outcomes
  • Supporting datasets, scripts, and rendered outputs (.html, .tex)

All files are generated using R and the rmarkdown package.

🔍 Thematic fields and analytical frameworks

This section provides access to the main analytical modules implemented in the project. Each module focuses on a distinct thematic dimension of public procurement performance and applies a harmonized data-processing and indicator framework.

Integrity Analysis

Analysis of transparency and accountability challenges in public procurement systems using procurement data.

View Report

Administrative Efficiency Analysis

Assessment of procedural efficiency, administrative burden, and implementation performance in procurement processes.

View Report

Economic Outcome Analysis

Evaluation of procurement outcomes, including competition, pricing efficiency, and broader economic impacts.

View Report

Shiny App Prototype - Economic Outcomes

Interactive web application for exploring economic outcomes in public procurement data with dynamic visualizations.

Launch App

GitHub Repository

Full source code, documentation, and reproducible analysis pipelines.

View on GitHub

📚 Data standards, references, and useful resources

This section documents the data foundations of the project, including input data sources, qualitative benchmarks, methodological references, and reusable data templates supporting replication and extension.

Open Public Procurement Data Sources

Overview of major open public procurement datasets, their coverage, update frequency, formats, and processing status.

Explore Sources

Qualitative Assessment Sources

Comparative qualitative frameworks and expert assessments of public procurement systems.

View Assessments

Example Studies and Projects

Empirical studies and applied projects demonstrating the use of procurement indicators across thematic areas.

Browse Examples

Data Processing Approaches

Methodological guidance, processing pipelines, and variable templates for transforming raw procurement data.

View Templates

Data Template

Standardized data structure and variable definitions used across analytical modules.

View Template

📈 How to Reproduce the Analyses

To reproduce the analyses on your local machine, you will need the following:

  • R: version 4.5.1 or newer
  • RStudio (Posit): recommended
  • The relevant ProAct dataset, downloaded separately
  • Analysis files from this GitHub repository:

File Structure

For each thematic analysis, two files are required:

  • .utils.R — An R script that implements the data-processing and analysis pipeline. This script contains parameters that may need to be adapted for new countries (e.g. time coverage, filtering rules, or threshold values).
  • _report.Rmd — An R Markdown file that generates the analytical report (HTML, DOCX, or PDF), including tables and figures.