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:
Branka Franicevic
Philippe Rocca-Serra
Tim Beck
Sandra Ng
Kevin Rue-Albrecht
Robert Andrews
Krzysztof Poterlowicz
Sabrina Zander
Björn Grüning
Xenia Perez Sitja
Saskia Hiltemann
Khaled Jum'ah
Kevin Frey
Munazah Andrabi
Saskia Lawson-Tovey
Andrew Mason
Kellie Snow
Katarzyna Kamieniecka
Helena Rasche
Nick Juty
Martin Kuhl
Stella Eggels
Sara Morsy
Nicola Soranzo
Cristina Martins Rodrigues
Dominik Brilhaus
Korneel Hens
Laura Cooper
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