CESSDA

Data Catalogue

The CESSDA Data Catalogue contains the metadata of all data in the holdings of CESSDA's service providers. It is a one-stop-shop for search and discovery, enabling effective access to European social science research data.

Data Management Expert Guide

This guide is designed by European experts to help social science researchers make their research data findable, accessible, interoperable and reusable.

Training

The CESSDA Training website provides a collection of resources and events for learning about the management, preservation and distribution of research data.

Tools & Services

Data Users

Data Producers

Service Providers

Members

About us

The CESSDA Strategy 2018-2022 has four pillars:

Building on TRUST
Renown for TRAINING
Proficient in TECHNOLOGY
User-friendly TOOLS & SERVICES

NEWS

Jul

The value of shared datasets on the COVID-19 pandemic

Podcast on the CESSDA Data Catalogue. In conversation with Sylvia Kritzinger, University of Vienna.

Jul

Ten questions to Mercè Crosas

Mercè Crosas is a data technologist and researcher, who just recently took on the role of Secretary of Open Government at the Generalitat de Catalunya (Institutional Government of Catalonia).

More news

FEEDS

22 Jul 2021 (GESIS)

The EU in Times of COVID-19 – Together into a Future Based on (more) Solidarity?

13 Jul 2021 (AUSSDA Blog)

Drei Fragen an... das Team des Projekts „Lernen im Ausnahmezustand“

13 Jul 2021 (GESIS)

“Der Worte sind genug gewechselt, lasst uns endlich Daten sehen.” – Datenmana...

UPCOMING EVENTS

More events

2 Jul 2021 - 30 Jul 2021

ESRA2021 - Virtual conference

The ESRA2021 conference is going online: every Friday in July!

23 Aug 2021

Train the Trainer Workshop: Facilitating Onwards Sharing of Safe and Clean Mi...

This online hands-on workshop is aimed at trainers and support staff looking to introduce semi-automated tools in data management training sessions/materials. It will provide a platform for discussion around best practices for introducing researchers to key principles of assessing data quality and conducting statistical disclosure control (SDC) for quantitative data.