This is a snapshot of project information archived on 2 September 2022. Please contact the project team for most recent updates.
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
- Peer Reviewers
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.
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
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.
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.
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.
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.
This section will provide chapters that specifically address RDM with various types of data, including qualitative data, data in the sciences, and geospatial data.
In this theoretical section, chapters will offer varying perspectives on data management with open research data.
- Project Timeline
- Chapter Template
- Chapters and Authors
- Call for Proposals
- Appel à Propositions de Chapitres