Tools

This Dataverse manual aims to provide a practical, user-friendly, and concise guide intended for typical end users of Dataverse. The manual includes instructions for the essential functions of Dataverse such as creating, managing and sharing Dataverse collections and datasets; a technical setup g...

This SSHOC Legacy booklet covers the main outcomes of the SSHOC project, marking a major step towards the exploitation of tools and services during the project’s funding lifecycle and from there the path towards sustainability. The first part showcases the work performed by SSHOC partners to achi...

Figures and case studies related to accessing and reusing the data produced in the course of scientific production.

Research data is increasingly viewed as an important scholarly output. While a growing body of studies have investigated researcher practices and perceptions related to data sharing, information about data-related practices throughout the research process (including data collection and analysis)...

The ethical and legal issues relating to research process in social sciences involving human participants had raised the concerns of policymakers, lawyers and scientists for many years. This topic especially came to the spotlight as the new GDPR entered into force in 2018. Anne-Mette Somby presen...

The SHARC Interest Group of the Research Data Alliance was established to improve research crediting and rewarding mechanisms for scientists who wish to organise their data (and material resources) for community sharing. This requires that data are findable and accessible on the Web, and comply w...

Researchers, learn how to make data Findable, Accessible, Interoperable, and Reusable (FAIR), how to assess the FAIRness of research data and which tools to use to make data more FAIR.

This CESSDA event is a recording of the hands-on workshop on Geographic Information Systems for social scientists with some experience in R that took place on 23 November 2021. 00:00 Introduction: Data Management 17:25 Introduction: Geospatial Data 33:19 Exercise 1: R Warm up 39:49 Data Processi...

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...