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News from CESSDA

UK Data Service launches new computational social science data skills modules
Fri 30 Oct 2026

UK Data Service launches new computational social science data skills modules

CESSDA's British Service Provider UK Data Service has launched four new data skills modules designed to help social science data service professionals and social science researchers develop foundational skills in computational social science.

CESSDA projects display posters at the EOSC Symposium
Thu 22 Oct 2026

CESSDA projects display posters at the EOSC Symposium

During the EOSC Symposium, four of the Horizon Europe projects CESSDA participate in exhibited posters in the exhibitor area. Have a look at their posters below!

CESSDA at the EOSC Symposium 2026: Connecting users, data and services
Mon 19 Oct 2026

CESSDA at the EOSC Symposium 2026: Connecting users, data and services

More than 500 participants from 35 countries gathered in Florence, Italy, on 14–16 October for the EOSC Symposium 2026. With the EOSC Federation officially entering production, this year's event marked an important milestone for Europe's research data ecosystem.

New demographics dataset added to the NextGen Harmonised Data Gateway
Fri 16 Oct 2026

New demographics dataset added to the NextGen Harmonised Data Gateway

A new dataset covering key demographic information from five major European survey programmes has been added to the NextGen Harmonised Data Gateway, developed as part of the Infra4NextGen project.

CESSDA highlights its impact across data, people, and landscape in 2025
Tue 13 Oct 2026

CESSDA highlights its impact across data, people, and landscape in 2025

A new brief, “Impact in 2025”, highlights how CESSDA’s network of social science data archives is strengthening data reuse, building research and data capacity, and supporting evidence-based policy across Europe and beyond.

Advancing cross-domain research data interoperability: CESSDA joins CDIF4EOSC
Wed 30 Sep 2026

Advancing cross-domain research data interoperability: CESSDA joins CDIF4EOSC

Researchers increasingly need to combine information from different disciplines to answer complex questions. Yet bringing datasets together is often far from straightforward. Different metadata standards, vocabularies, data structures and access conditions can make data difficult and time consuming to combine, even when the individual datasets are already well documented.