Research Training and Resources

Digital Research Alliance Research Data Repositories 101FAIR Principles Keyano Library Services References

Digital Research Alliance of Canada

The Digital Research Alliance of Canada (the Alliance) serves Canadian researchers with the objective of advancing Canada’s position as a leader in the knowledge economy on the international stage. The Alliance offers services for Research Data Management including the Data Management Plan (DMP) Assistant, which is a national, online, bilingual data management planning tool. The DMP is freely available to all researchers, and supports the development of a DMP through a series of key data management questions, supported by best-practice guidance and examples. These resources and tools are available at Welcome to DMP Assistant.

Additional resources available through the Alliance and DMP Assistant
Research Data Management Training Modules
Brief Guide – Data Management Plans
Brief Guide – Create an Effective Data Management Plan
DMP Assistant Video Tutorial Series

Research Data Repositories 101

Research data resulting from agency funding should normally be preserved in a publicly accessible, secure, and curated repository or other platform for discovery and reuse by others (Tri-Agency Statement, 2021).

These modules will help you learn about the role that research data repositories play in good RDM, and in meeting the requirements of the Tri-Agency RDM policy.

Additional resources available through Research Data Repositories 101

Module 1: Background and Learning Objectives

Module 2: What are Research Data Repositories

Module 3: Types of Research Data Repositories

Module 4: TRUST and FAIR Principles for Research Data Repositories

Module 5: Research Data Policies Landscape: Funders, Publishers, and Institutions

Module 6: Glossary of Terms

Module 7: Test Your Knowledge!

Data Sharing and Management Snafu in 3 Short Acts (video)

FAIR Principles

The FAIR principles (Wilkinson et al., 2016) provide guidelines to improve the Findability, Accessibility, Interoperability, and Reuse of digital assets.

Findable – The first step in (re)using data is to find them. Metadata and data should be easy to find for both humans and computers.
Accessible – Once the required data have been found, the user needs to know how they can be accessed, possibly including authentication and authorization.
Interoperable – The data usually need to be integrated with other data. In addition, the data need to interoperate with applications or workflows for analysis, storage, and processing.
Reusable – The ultimate goal of FAIR is to optimize the reuse of data. To achieve this, metadata and data should be well-described so that they can be replicated and/or combined in different settings.

FAIR Data Principles (video) 

This video (Maastricht University, 2020) briefly explains what the FAIR principles stand for.

Keyano College Library Services

Visit the Keyano College Library Applied Research Calendar to learn about upcoming research data management and data management planning events at the College.                                                                                                                  


Maastricht University. (2020, May 28). The FAIR principles explained [Video]. YouTube.

Tri-Agency statement of principles on digital data management. (2021, January 21). Government of Canada.  

Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J.-W., Santos, L. B., Bourne, P. E., Bouwman, J., Brookes, A. J., Clark, T., Crosas, M., Dillo, I. Dumon, O., Edmunds, S., Evelo, C. T., Finkers, R., … & Mons, B. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3, e160018. 

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