data stewardship
Tutorials covering data stewardship
Material
You can view the tutorial materials in different languages by clicking the dropdown icon next to the slides (slides) and tutorial (tutorial) buttons below.FAIR Data, Workflows, and Research
| Lesson | Slides | Hands-on | Recordings | Input dataset | Workflows |
|---|---|---|---|---|---|
| FAIR and its Origins | |||||
| FAIR in a nutshell | |||||
| Making clinical datasets FAIR | |||||
| DataPLANT ARCs | |||||
| FAIR data management solutions | |||||
| Metadata | |||||
| Data Registration | |||||
| Access | |||||
| Persistent Identifiers | |||||
| FAIRification of an RNAseq dataset |
Contributors
This material was contributed to by:
Kevin Rue-Albrecht
Tim Beck
Munazah Andrabi
Krzysztof Poterlowicz
Andrew Mason
Stella Eggels
Helena Rasche
Sara Morsy
Dominik Brilhaus
Sandra Ng
Kellie Snow
Laura Cooper
Korneel Hens
Khaled Jum'ah
Branka Franicevic
Sabrina Zander
Katarzyna Kamieniecka
Robert Andrews
Xenia Perez Sitja
Björn Grüning
Saskia Lawson-Tovey
Kevin Frey
Saskia Hiltemann
Philippe Rocca-Serra
Cristina Martins Rodrigues
Nick Juty
Nicola Soranzo
Martin Kuhl
Funding
These individuals or organisations provided funding support for the development of this resource
DASH UK
This Fellowship was funded through the ELIXIR-UK DaSH project as part of the UKRI Innovation Scholars: Data Science Training in Health and Bioscience call (DaSH). (MR/V038966/1). The project aims to embed Research Data Management (RDM) know-how into UK universities and institutes by producing and delivering training in FAIR data stewardship using ELIXIR-UK knowledge and resources.
DataPLANT
DFG