Welcome to PolPaL
Political Party Links
Political Party Links (PolPaL) is a linkage key infrastructure project for the social sciences. PolPaL provides a unified linkage platform for identifying political entities across social science datasets.
PolPaL, inspired by Party Facts, provides new linkage features, broader metadata, and extended coverage. It offers researchers a comprehensive, consistent, and long-term foundation for studying political entities globally and historically.
First look
A glimpse of what's coming
The homepage of PolPaL provides an overview of statistics, latest news, and a searchable dataset index.
The projects page provides an overview of integrated data projects, datasets, and data versions within PolPaL.
The PolPaL Party entity page provides information about political parties and their appearances across datasets.
The PolPaL Grouping entity page provides information about political groupings and their appearances across datasets.
Browse linkages between dataset entries and PolPaL entities.
User-friendly interface for linking dataset entries to PolPaL entities.
Download linkage keys, PolPaL entities, and additional information from PolPaL.
Integration roadmap
Data Projects & Datasets
The following datasets are planned for integration over the coming months. Each will be linked to PolPaL entities, making cross-dataset analysis straightforward.
Highlighted datasets are prioritized for early integration, based on usages by Party Facts users.
If you would like to contribute or suggest a dataset, please feel free to reach out to us.
How to Contribute
Become a Part of PolPaL
PolPaL is a collaborative effort, and we welcome contributions from researchers across the social sciences. We are always looking for political party researchers that can help us expand our dataset and improve our linkage key infrastructure.
Support our team and help build a comprehensive linkage key infrastructure for the social sciences.
Extend your dataset with PolPaL linkages to increase its visibility and usability for researchers across the social sciences.
If you would like to contribute or integrate your dataset, please feel free to reach out to us.
The team
Who we are
Lea Kaftan
GESIS - Leibniz Institute for the Social Sciences
Unter Sachsenhausen 6-8
50667 Cologne
Germany
Paul Bederke
GESIS - Leibniz Institute for the Social Sciences
Unter Sachsenhausen 6-8
50667 Cologne
Germany
LK
PS