Project Archive: Research Data Management in the Canadian Context: A Guide for Practitioners and Learners

This is a snapshot of project information archived on 2 September 2022. Please contact the project team for most recent updates.

Research Data Management in the Canadian Context: A Guide for Practitioners and Learners

Subject: Museums, Libraries & Information Sciences

Book Language: English, French

Audience: LIS faculty and students, RDM professionals, other professionals seeking to learn about RDM

Created date: October 8, 2021

Updated date: July 4, 2022

Target Release Date: 2022-09-01


  • Attribution
  • Non-Commercial


  • Authors
  • Peer Reviewers
  • Contributors


With the recent release of a Research Data Management (RDM) policy by Canada’s Tri-Agency, RDM has become crucially important. All researchers who apply for grants to fund data-related research must now meet requirements including writing Data Management Plans and preparing data for archiving. Libraries have traditionally supported RDM, and RDM is occasionally taught in Canadian library schools. Given the heightened attention to RDM, the need for greater education and the number of courses is likely to increase. However, at present there are no suitable teaching resources for the Canadian context. A comprehensive, peer-reviewed educational resource suited to the unique Canadian regulatory context and appropriate for use in classrooms does not exist.

As a response to this need, a number of Canadian academics and librarians are creating a peer-reviewed, copy-edited open textbook, translated to both French and English languages and published via Pressbooks. It will include interactive media and self-assessment activities. As the resource will be an OER, instructors, students, and professionals can use the resource as-is or customize it to meet needs.

Short Description:

Librarian practitioners, LIS students, and researchers alike are seeking up to date guidance on RDM practices, and instructors are looking for resources to support their teaching. This resource will offer a comprehensive, peer-reviewed academic educational resource suited to the Canadian context. Topics will include:

the Canadian context for RDM

an introduction to active data management and curation

management of specific data types

repository selection and cloud storage

sensitive data, privacy, and deidentification

theory and principles

And more!


Section 1: Introduction to RDM

This section will introduce readers to the resource and to RDM in general, featuring chapters on how to use the book, the RDM lifecycle, and FAIR Principles within the context of Research Data Management.

Section 2: RDM in a Canadian context

This section will feature chapters that orient readers to the history and context of RDM in Canada, including Canadian RDM in an international context and particular issues associated with use of Indigenous data.

Section 3: Practical RDM Skills

This section will feature a suite of chapters that address relevant and necessary skills associated with RDM, such as data cleaning, digital preservation of research data, sensitive data, data collection and sharing, and data management planning.

Section 4: RDM Services and Institutional Considerations

This section will include chapters discussing services that have been developed at the institutional and international level in Canada to support RDM, as well as a chapter about the Maturity Assessment Model in Canada that is used to assess the effectiveness of current RDM service offerings.

Section 5: Types of Data

This section will provide chapters that specifically address RDM with various types of data, including qualitative data, data in the sciences, and geospatial data.

Section 6: Perspectives on Open Research Data

In this theoretical section, chapters will offer varying perspectives on data management with open research data.