Research Data Management: Support & Training

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

Here you can find the interactive publication "Research Data Management for Arts and Humanities: Integrating Voices of the Community", published in 2023 by the DARIAH Working Group on Research Data Management under license CC BY 4.0.

the PARTHENOS cluster of humanities research infrastructure projects has devised this series of training modules and resources for researchers, educators, managers, and policy makers who want to learn more about research infrastructures and the issues and methods around them.

Open Access Post-Graduate Teaching Materials in Managing Research Data in Archaeology

A suite of help materials, best practices and guidelines to help you make your data FAIR (Findable, Accessible, Interoperable and Reusable)

Data Tree is a free online course with all you need to know for research data management, along with ways to engage and share data with business, policymakers, media and the wider public. The course is for any scientist, whether you look after your own data or are guided by an organisation. The course is especially aimed at PhD students and early career researchers but is for anyone who wants to get the right data habits now, including thinking of end-users of your data.

Essentials 4 Data Support is an introductory course for those people who (want to) support researchers in storing, managing, archiving and sharing their research data.

These courses answer some of the most common questions you might have about putting open science into practice. Each course takes about 1-2 hours to work through and you’ll receive a badge upon completion. The courses include practical tips on getting started with OS as well as providing information on discipline specific tools and resources you can use. There is no specified order through the courses – just explore topics that you want to learn more about at your own pace.

The Toolkit expands on the issues outlined in the LERU Roadmap for Research Data (2013). It is nearly 200 pages long, and includes:

23 Best-Practice Case Studies from institutions around the world, drawn from issues in the original LERU Roadmap; 8 Main Sections, on topics such as Policy and Leadership, Open Data, Advocacy and Costs; One Model RDM Policy, produced by the University of Vienna and accompanied by guidance and an overview of 20 RDM policies across Europe; An Executive Briefing in six languages, aimed at senior institutional decision makers.

Developed by experts from Science Europe Member Organisations, this guide aims to align research data management (RDM) requirements across various research organisations.

MANTRA is a free online course for those who manage digital data as part of their research project.