Seneca's Institutional RDM Strategy is available at https://www.senecapolytechnic.ca/RDM.
The Tri-Agency Research Data Management Policy (March 15, 2021) puts forth rules on the management of research data across Canada with institutional RDM strategies, Data Management Plans (DMPs), and data deposits as key components.
Related to RDM there exists an international effort by scientists and organisations to improve scientific data management and stewardship was published and endorsed by G20:
In 2016, the ‘FAIR Guiding Principles for scientific data management and stewardship’ were published in Scientific Data. The authors intended to provide guidelines to improve the Findability, Accessibility, Interoperability, and Reuse of digital assets. The principles emphasise machine-actionability (i.e., the capacity of computational systems to find, access, interoperate, and reuse data with none or minimal human intervention) because humans increasingly rely on computational support to deal with data as a result of the increase in volume, complexity, and creation speed of data.
Source: GO FAIR. (n.d.). The FAIR Principles. https://www.go-fair.org/fair-principles
Focus on: Research Methods & Data Collection
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