Websites and guides
- Data Management Guide of the University of Cambridge
- UK Data Archive: Managing and Sharing Data
Rdm guide for researchers and data managers.
German resource providing information on German funders and legal issues in English.
Moodle course “Research data management”
An introductory course for master and phd students at RUB.
Moodle course “HeFDI Data Learning Materials: Forschungsdatenmanagement – eine Online-Einführung”
This course covers the main topics of research data management (only in German).
Managing and sharing data
A short introduction to research data management which focuses on data sharing and open data.
The importance of good research data management
Three video modules including interviews with researchers which explain general concepts and terms used in research data management, the FAIR principles and data management plans.
MANTRA Research Data Training
Slideshows and expert interviews offered by the University of Edinburgh.
Best Practices on research data management
List of best practices offered by the University Library of UC Santa Cruz.
Essentials 4 Data Support
A course for active or future data managers.
Research Data Management and Sharing
This course is offered on Coursera by the University of North Carolina und University of Edinburgh.
Data Steward Training
An extensive Moodle course for future data stewards.
Domain-specific e-learning courses
This course is intended for social science researchers. Duration of the entire tour is approximately 15 hours. Practical information and explanations are provided making this course interesting for researchers of other subjects, too.
This website offers domain-specific lessons on data management and data processing. It currently provides lessons for ecology, genomics, social sciences and geospatial data. Lessons for digtial humanties, image analysis, economics, and astronomy are being developed or considered.
gfbio Training Materials
Training and information resources offered by the German Federation for Biological Data (gfbio).
Data and the FAIR Prinicples
This course offers modules for researchers who are working with neuroimaging data. Five lessons focus on FAIR and reproducibility, and linked data.