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Research Data Services

Data Curation Guides

Data Curation is the documentation, description, and management of research data to produce datasets that are FAIR: Findable, Accessible, Interoperable, and Reusable. It is a process that adds value to research by optimizing data sets for current use and future discovery and reuse. Approaches to data curation will depend on the characteristics of the data being collected (e.g. file-type, size, sensitivity), and the repository where it is being deposited.

For guidance in curating your research data, we've compiled a series of recommended resources:


File-level Guidance

  • DCN Data Primers (GitHub): A repository of guides developed by the Data Curation Network (DCN) to support good curation of specific software file types (e.g. netCDF, SPSS, QGIS, MS Excel, Jupyter Notebooks).
  • Sharing Code and Data (Cambridge)A compilation of various tools and resources that could be useful for transitioning to more open and reproducible science.

Repository Guidance

Creative Commons License
This work by The University of Victoria Libraries is licensed under a Creative Commons Attribution 4.0 International License unless otherwise indicated when material has been used from other sources.