Work

GIGAPsych: An Open Database for Data Sharing

Year: 2025

Type: article

Abstract: In this database, researchers can submit (pseudonymized) survey-based data at the item level (e.g., personality, intelligence tests, work performance), which will be automatically merged with existing data from other researchers. When the data contain a unique participant ID (e.g., from popular online recruitment panels), it would further be possible to (a) merge data from the same participants who have completed multiple studies measuring constructs that are typically studied in isolation and (b) test longitudinal designs, for instance, when participants have completed the same measures multiple times. The more data containing unique IDs are donated to the platform, the more the chances that there will be some overlap of the same individuals across different studies. Furthermore, through the database interface, researchers will be able to perform online analyses (e.g., calculate average scores and correlation matrices) and request the merged (pseudo-anonymized) data for download.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.18632572

Authors: Buczny, Jacek, Koutsoumpis, Antonis, Pletzer, Jan Luca, SPADARO, GIULIANA, de Vries, Reinout, Kopec, Wieslaw

Institutions: Vrije Universiteit Amsterdam, Erasmus University Rotterdam, Polish-Japanese Academy of Information Technology

Language: English

Topic: Research Data Management Practices

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Award: A Platform for Psychology Data Merging and Sharing (GIGAPsych)