Research Data Management
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 Portage Network 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. They were launched by the Canadian Association of Research Libraries in 2015. To learn more or receive support with your research data management task contact Portage directly, or speak to your local Compute Canada 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 Danish 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)
- Portage 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 (DMP):
Metadata
Persistent Digital Identifiers
- For Researchers:ORCID
- For data:DOI
- For metadata and other situations where a DOI is innapropriate:UUID
- For physical samples:IGSN
Policy Requirements
Repositories
Sensitive Data
Terminology