BioMedData Deliverable D2.1 - Report on data management plan needs/gaps
Creators
- 1. Centre for Bioinformatics, University of Oslo; ELIXIR Norway, BioMedData
- 2. Proteomics Unit University of Bergen (PROBE), Department of Biomedicine, University of Bergen; NAPI, BioMedData
- 3. Computational Biology Unit, University of Bergen; ELIXIR Norway, Centre for Digital Life Norway, BioMedData
- 4. Norwegian Center for Molecular Medicine - Faculty of Medicine, University of Oslo; NOR-Openscreen, BioMedData
- 5. Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, NTNU - Norwegian University of Science and Technology; Biobank Norway
- 6. Norwegian Center for Molecular Medicine, Department of Biological Sciences, University of Oslo; Radiumhoospitalet, Oslo University Hospital; NALMIN, BioMedData
- 7. University of Oslo; GBIF Norway, BioMedData
- 8. Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, NTNU - Norwegian University of Science and Technology; Biobank Norway, BioMedData
- 9. Department of Chemistry, University of Tromsø – The Arctic University of Norway; NORCRYST, BioMedData
- 10. K.G. Jebsen Center for genetic epidemiology, Department of Public Health and General Practice, NTNU - Norwegian University of Science and Technology; Biobank Norway
- 11. Department of Circulation and Medical Imaging, NTNU- Norwegian university of science and technology; NORMOLIM, BioMedData
- 12. Department of Genetics and Bioinformatics, Norwegian Institute of Public Health; MoBa, BioMedData
- 13. Molecular biosystems and bioinformatics, Department of Chemistry, University of Tromsø – The Arctic University of Norway; NIMG, ELIXIR Norway, BioMedData
Description
The BioMedData project was established in 2020 to connect the largest research infrastructures within the Life Sciences in Norway with the scope of improving their data management practices, aiming at the production of findable, accessible, interoperable and reusable (FAIR) data. This report marks the conclusion of the first phase within the project, aimed at assessing the data management routines at these infrastructures and the gap with respect to the FAIR data principles. This study is supported by a questionnaire, compiled by all the infrastructures involved, covering international requirements (Science Europe, Horizon2020) as well as the FAIR data principles. The investigation revealed a lack of internationally recognised metadata standards and repositories within specific domains. In other cases, the international metadata standards lack attributes representing provenance information of steps prior to data generation. On top of this, the main responsibility for data management implementation is found to often lie with individual researchers and not infrastructures. A more systematic organisation of data management duties and associated budgeting by the research projects would allow the infrastructures to operate a cost recovering support model.
Files
2021-03-26_BioMedData_DMP_gap_analysis_attachment.zip
Files
(6.4 MB)
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