Skip to main content

Research Data Management is the collection, organization, documentation, and storage of research data. It can be described as the who, what, when, where, and how of data used for research. Good RDM is a key element of the research lifecycle and allows researchers to better access, reuse, preserve, and share their data. In recent years, an increased emphasis on concepts such as reproducibility, scientific rigour, and collaboration has made RDM more important than ever.

The Tri-Agency Research Data Management Policy was launched in 2021 by the Canadian Institutes of Health Research (CIHR), the Natural Sciences and Engineering Research Council of Canada (NSERC), and the Social Sciences and Humanities Research Council of Canada (SSHRC) to improve research by encouraging good RDM practices and supporting the FAIR (Findable, Accessible, Interoperable, Reusable) data principles. The policy requires post-secondary institutions that receive grant funding to create institutional RDM strategies and make them publicly available on their websites by March 1st, 2023.

BCIT Research Data Management Strategy

Version 1, published 2023-03-01

Acknowledgement of Territories
The British Columbia Institute of Technology acknowledges that our campuses are located on the unceded traditional territories of the Coast Salish Nations of xwməθkwəy̓əm (Musqueam), Sḵwx̱wú7mesh (Squamish), and səl̓ilwətaɁɬ (Tsleil-Waututh).


This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0).

Contact Information

The interim contact person for any questions regarding this document is Joe Boyd, Research Liaison at the Applied Research Liaison Office.