This dataset codes cooperation agreements between overlapping regional international organizations (RIOs) based on written documentation such as treaties, agreements, and joint statements. It was developed for a research project funded by the German Research Council to analyze variation in inter-organizational cooperation designs.
Use Cases
- Analyze the frequency and types of cooperation agreements documented between RIOs to identify patterns of institutionalization.
- Compare cooperation designs across different regional contexts (Africa, Americas, Asia, Europe) as specified in the research project scope.
- Trace the paper trail of agreements using documented sources like RIO press reports and official websites to study formalization processes.
Strengths
- Data is grounded in a necessary condition of a verifiable paper trail from official documentation.
- Developed as part of a specific, funded research project (German Research Council grant PA 1257/7-1).
- Focuses on a defined population: Regional International Organizations (RIOs) with regional membership criteria.
Limitations
- The dataset scope is limited to cooperation that has produced written documentation, potentially excluding informal collaborations.
- Sample size and specific row or column counts are unknown, limiting assessment of statistical power.
- Geographic and temporal coverage, while implied to be global and comparative, is not explicitly defined.
Provenance
- Source
- Harvard Dataverse, authored by Diana Panke.
- Collection Method
- Coding of cooperation from written documentation including treaties, agreements, joint statements, and official RIO websites.
- Time Range
- null
- Freshness
- null
- Geography
- Covers regional international organizations in Africa, the Americas, Asia, and Europe.