RDM learning resources
RDM introduction
RDMkit (by Elixir-Europe)
The ELIXIR Research Data Management Kit (RDMkit) has been designed to guide life scientists in their efforts to better manage their research data following the FAIR Principles. RDMkit is recommended in the Horizon Europe Program Guide as the "resource for Data Management guidelines and good practices for the Life Sciences."
CESSDA - Data Management Expert Guide (DMEG)
The
DMEG is designed by European experts to help social science researchers
make their research data Findable, Accessible, Interoperable and
Reusable (FAIR).
DARIAH Research Data Management Working Group
The DARIAH Research Data Management Working Group aims to tackle challenges of sharing knowledge, research outputs and other scholarly resources in ways that are tuned for long-term availability and maximal value, use and reuse for arts and humanities researchers
Excellent MOOC (Massive Open Online Course) on Coursera offered by The University of North Carolina at Chapel Hill and The University of Edinburgh. Recommended for introduction to RDM.
Resources on Metadata
Metadata MOOC by Jeffrey Pomerantz
Available for free on YouTube.
RDA Metadata Standards Directory Working Group
The RDA Metadata Standards Directory (MASDIR) Working Group with a goal to develop a collaborative, open directory of metadata standards applicable to scientific data.
Digital curation centre (DCC) - Disciplinary Metadata
This page provides links to information about disciplinary metadata standards, including profiles, tools to implement the standards, and use cases of data repositories currently implementing them.
informative and educational resource on data and metadata standards, data policies and databases, combined with an integrated view across all three types of resource.
FAIR principles
FAIR assessment tools
- F-UJI by FAIRsFAIR
- ARDC FAIR Assessment tool
- SATYFID by DANS (Self-Assessment Tool to Improve the FAIRness of Your Dataset)
- How FAIR are your data?
- RDA FAIR data maturity model