"Data Management refers to the storage, access and preservation of data produced from a given investigation. Data management practices cover the entire lifecycle of the data, from planning the investigation to conducting it, and from backing up data as it is created and used to long term preservation of data deliverables after the research investigation has concluded..." (CASRAI, n.d.)
In other words, research data management is a broad phrase used to describe the structure, organization, maintenance, and overall stewardship of research data throughout the research and data lifecycle.
In 2016, the Tri-Agencies (CIHR, NSERC & SSHRC) announced that all institutions receiving funding would be required to have an institutional strategy and each funded project would need to have a data management plan.
After a consultation with stakeholders and research institutions, in March 2021 they released their policy. There are 3 key parts to the policy:
At its core, RDM is viewed by funding agencies as a mechanism to enhance research excellence. It is important to note the data deposit requirement does not mean the data needs to be open access.
This 4:40 minute video case study walks through what can go wrong without a plan and standards.
Hanson, K., Read, K. & Surkis, A. (2014, March 16). How to avoid a data management nightmare [Video]. YouTube. https://youtu.be/nNBiCcBlwRA
This 4:40min video provides a light-hearted look at impediments to data-sharing, and why data-sharing matters.
Hanson, K. Surkis, A. & Yacobucci, K. (2021, December 19). Data sharing and management snafu in 3 short acts [Video]. YouTube. https://youtu.be/N2zK3sAtr-4