Resource Directory

This guide is designed by European experts to help social science researchers make their research data Findable, Accessible, Interoperable and Reusable (FAIR).

CESSDA invited a researcher, trainer and Data Management Expert Guide (DMEG) co-author to raise awareness about the guide among researchers and trainers. Ricarda Braukmann (DANS), Patrícia Isabel Martins Miranda (ICS ULisboa) and Sothearath Seang (Eurodoc) each brought their perspectives to the d...

Developed by the UK Data Service, this open source tool can be used to automatically assess and report on elements of quality, such as missingness, labelling, duplication, formats, outliers and direct identifiers.

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 an...

This presentation focuses on legal and ethical issues in Data Management with a particular focus on the General Data Protection Regulation (GDPR). It provides advice on researchers working with personal data on how to comply with GDPR across different phases of the life cycle. Responsible Open S...

Welcome and introduction presentation of the Responsible Open Science Workshop. This presentation introduces CESSDA and ODISSEI as infrastructures for the social sciences and outlines the first four chapters of the Data Management Expert Guide. Responsible Open Science Workshop was organised by...

Anna Schwickerath explains how to make your data findable, accessible, interoperable and reusable (FAIR).

As part of the 2019 SERISS train-the-trainer workshop, Libby Bishop discusses ethical and legal issues for data.

Data science technology promises to improve people's lives, accelerate scientific discovery and innovation, and bring about positive societal change. Yet, if not used responsibly, this same technology can reinforce inequity, limit accountability, and infringe on the privacy of individuals. In thi...

Research data management explained in detail by UKDA.