This website is under construction.

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.

Dem
B90/Gr
SWAPO
PRONA
SAP
M5S

First look

A glimpse of what's coming

PolPaL homepage showing statistics and dataset overview
Homepage

The homepage of PolPaL provides an overview of statistics, latest news, and a searchable dataset index.

PolPaL projects page showing ongoing and completed projects
External Data

The projects page provides an overview of integrated data projects, datasets, and data versions within PolPaL.

Entity detail page for The Left
PolPaL Party Entity pages

The PolPaL Party entity page provides information about political parties and their appearances across datasets.

Entity detail page for CDU/CSU
PolPaL Grouping Entity pages

The PolPaL Grouping entity page provides information about political groupings and their appearances across datasets.

Dataset linkage view for CHES Austria entries
Dataset explorer

Browse linkages between dataset entries and PolPaL entities.

Dataset linkage view for CHES Austria entries
Linking tool

User-friendly interface for linking dataset entries to PolPaL entities.

Dataset download view
Download page

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.

The team

Who we are

Lea Kaftan

GESIS - Leibniz Institute for the Social Sciences

lea.kaftan@gesis.org

Unter Sachsenhausen 6-8
50667 Cologne
Germany

Paul Bederke

GESIS - Leibniz Institute for the Social Sciences

paul.bederke@gesis.org

Unter Sachsenhausen 6-8
50667 Cologne
Germany