Research Data Management: Difference between revisions
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Revision as of 17:40, 25 September 2023
Research data management is a crucial aspect of the data lifecycle and ensures that data is discoverable, accessible and reusable during and following the completion of a project. In Canada, the Alliance is tasked with:
- Developing a national research data culture
- Fostering a community of practice for research data
- Building national research data services and infrastructure
...to better support academic researchers and institutions in building capacities and managing their data assets. To learn more or receive support with your research data management contact the Alliance directly, or speak to your local regional partner and they will get you connected.
Below is a list of commonly helpful resources for research data management.
Resources for research data management
Best practices
- D.B. Deutz, M.C.H. Buss, J. S. Hansen, K. K. Hansen, K.G. Kjelmann, A.V. Larsen, E. Vlachos, K.F. Holmstrand (2020). How to FAIR: a website to guide researchers on making research data more FAIR
- Woeber, C. A. (2017). Towards best practice in research data management in the humanities. Retrieved from http://researcharchive.vuw.ac.nz/xmlui/bitstream/handle/10063/6620/paper_acces s.pdf?sequence=4
Data curation
Data Licensing
Data management planning (DMP)
- Data Management Plan (DMP) Assistant
- ACENET Presentation on Data Management Planning
- Creating a Data Management Plan (DMP) guide from Portage (English/French)
- Exemplar Data Management Plans
Metadata
Persistent digital identifiers
- For researchers: ORCID
- For data: DOI
- For research organizations: ROR
- For research projects: RAiD
- For metadata and other situations where a DOI is not suitable: UUID
- For physical samples: IGSN
Policy requirements
Repositories
Sensitive data
Terminology