Poster Open Access
Data Train - Training in Research Data Management and Data Science: Good Practice #1
Garbuglia, Federica;
Saenen, Bregt;
Gaillard, Vinciane
Data Train is a training programme at the doctoral level in research data management (RDM) and data science developed
and delivered by the U Bremen Research Alliance with financial support of the German Federal State of Bremen. The U Bremen Research Alliance is a regional network that brings together the University of Bremen and twelve non-university research institutes in order to strengthen the cooperation in different research areas and scientific fields in the German Federal State of Bremen.
This good practice is part of a collection presented in the report "Good Practices in FAIR Competence Education", which aims to provides universities with points of inspiration and practical examples of how fellow institutions and organisations in the higher education sector addressed the need for more RDM and FAIR data-related skills to be taught at the bachelor, master and doctoral levels. The report was developed in the framework of the Fostering FAIR Data Practices in Europe (FAIRsFAIR) project.
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FAIRsFAIR_Data_Train_U-Bremen-Research-Alliance_case_study_20220221.pdf
md5:24ae625da643b2f5196a9382341e556d |
271.9 kB | Download |
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| Views | 210 | 210 |
| Downloads | 128 | 128 |
| Data volume | 34.8 MB | 34.8 MB |
| Unique views | 194 | 194 |
| Unique downloads | 112 | 112 |
- Publication date:
- February 21, 2022
- DOI:
-
- Keyword(s):
- research data management FAIR universities data stewardship Higher Education Institutions (HEIs)
- Grants:
-
European Commission:
- FAIRsFAIR - Fostering FAIR Data Practices in Europe (831558)
- Related identifiers:
- Supplementary material
- 10.5281/zenodo.5785252 (Project deliverable)
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International