Resource Directory

Training for PhD researchers covering all basic elements of research data management and data management plans

The heritage and archaeology sectors are producing increasing volumes of very diverse data through extensive use of digital technologies and data analysis. Given the processes and the uniqueness of the objects and sites studied, such data is often derived from non-repeatable interventions. This,...

This brief report gives an overview of the situation of research data management practices and needs among Belgian researchers in social sciences. The survey was conducted in 2018 and highlights aspects such as which software social scientists rely upon, what rules they follow when they collect d...

This handbook briefly explain how to make data open, why manage data, responsibilities in research data management and what concretely is a data management plan (DMP).

This book’s online resources are organised around the different phases of the research data lifecycle, to offer the support you need to complete each stage of your research project successfully.

This document provides points of reference for researchers seeking to manage their data in the most ethical way possible in the era of open research data. Through a presentation of binding and non-binding regulatory frameworks, it addresses some points to be taken into account in order to make da...

Data management describes the handling, organisation, and structuring of research material during the research process. On these pages SND has collected useful information about how to maintain, preserve and share research data.

This chapter in FSD's Data Management Guidelines is divided into the four parts: Copyright, Agreements between researchers, Agreement concerning the transfer of rights and Authorship in scientific publication and research data.

The CESSDA Data Management Expert Guide (DMEG) is designed by European experts to help social science researchers make their research data Findable, Accessible, Interoperable, and Reusable (FAIR). This is the offline version of the DMEG developed in 2017 and updated in 2019, available as a traini...

Good research data management is of great importance for high quality research. Implementing professional research data management from the start helps avoiding problems in the data creation and curation phases. The webinar is meant for future trainers, who will get acquainted with different meth...