This title appears in the Scientific Report :
2024
Please use the identifier:
http://dx.doi.org/10.34734/FZJ-2024-01521 in citations.
Teaching research data management with DataLad: a multi-year, multi-domain effort
Teaching research data management with DataLad: a multi-year, multi-domain effort
Research data management has become an indispensable skill in modern neuroscience. Researchers can benefit from following good practices as well as from having proficiency in using particular software solutions. But as these domain-agnostic skills are commonly not included in domain-specific graduat...
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Personal Name(s): | Szczepanik, Michał (Corresponding author) |
---|---|
Wagner, Adina Svenja / Heunis, Stephan / Waite, Laura / Eickhoff, Simon / Hanke, Michael | |
Contributing Institute: |
Gehirn & Verhalten; INM-7 |
Imprint: |
2024
|
DOI: |
10.34734/FZJ-2024-01521 |
Document Type: |
Preprint |
Research Program: |
METALAD: DataLad - ein dezentrales System für Forschungsdatenverwaltung, -publikation und -suche Datenmanagement für computergestützte Modellierung (INF) Neuroscientific Data Analytics and AI |
Link: |
OpenAccess |
Publikationsportal JuSER |
Research data management has become an indispensable skill in modern neuroscience. Researchers can benefit from following good practices as well as from having proficiency in using particular software solutions. But as these domain-agnostic skills are commonly not included in domain-specific graduate education, community efforts increasingly provide early career scientists with opportunities for organised training and materials for self-study. Investing effort in user documentation and interacting with the user base can, in turn, help developers improve quality of their software. In this work, we detail and evaluate our multi-modal teaching approach to research data management in the DataLad ecosystem, both in general and with concrete software use. Spanning an online and printed handbook, a modular course suitable for in-person and virtual teaching, and a flexible collection of research data management tips in a knowledge base, our free and open source collection of training material has made research data management and software training available to various different stakeholders over the past five years. |