Research Data Management is a term for all the things that researchers do to structure, organize and maintain data before, during and after doing research. RDM is also an emerging discipline that is concerned with researching and developing ways to manage research data more effectively. But what is research data? Where is the push towards formal Research Data Management coming from? What are the requirements of good data management? Research Data Management in the Canadian Context: A Guide for Practitioners and Learners looks at these questions and more, all with a focus on Canadian guidelines, regulations and infrastructure.
Conditions of Use
This book is licensed under a Creative Commons License (CC BY-NC-SA). You can download the ebook Research Data Management in the Canadian Context for free.
- Title
- Research Data Management in the Canadian Context
- Subtitle
- A Guide for Practitioners and Learners
- Publisher
- Western University
- Author(s)
- Danielle Dennie, Elizabeth Hill, Émilie Fortin, Emily Carlisle-Johnston, Kristi Thompson
- Published
- 2023-09-30
- Edition
- 1
- Format
- eBook (pdf, epub, mobi)
- Language
- English
- ISBN-13
- 9780771431876
- License
- CC BY-NC-SA
- Book Homepage
- Free eBook, Errata, Code, Solutions, etc.
Contents Using this Textbook How to Navigate This Textbook Why an Open Textbook? What is an Open Textbook? How to Access and Use this Book? Licensing and Attribution Get in Touch! Reference List About the Editors Acknowledgements Foreword: Reflections on a Career in Data Librarianship First Principles in Research Data Management The Basics: An Introduction to Research Data Management Introduction What Are Research Data? What Is Research Data Management? Reproducibility, Replicability, Traceability Tri-Agency Policy: The Three Requirements Data Management Plans (DMPs) Conclusion Reference List The FAIR Principles and Research Data Management Introduction Brief History of FAIR Principles What are FAIR Guiding Principles? How to Make Your Data FAIR: Tools and Guidance Policy Impacts of the FAIR Principles FAIR Principles and Repositories Getting Involved Conclusion Additional Readings and Resources Reference List Indigenous Data Sovereignty: Moving Toward Self-Determination and a Future of Good Data Introduction The United Nations and Indigenous Self-Determination A History of Indigenous Peoples and Bad Data Indigenous Data: What is it? How Would It Be Different Under Indigenous Self-Determination? Interacting with Indigenous Knowledge First Nations Data Self-Governance in Canada Conclusion Additional Readings and Resources Reference List A Canadian Context for Research Data Management Canadian Research Data Management: History and Landscape Introduction A Brief History of Research Data Management in Canada National Collaboration: From Portage Network to the Alliance Regional Efforts Conclusion Acknowledgement Additional Readings and Resources Reference List Research Data Sharing and Reuse in Canada: Practice and Policy Introduction Policies and Practices in Canada Infrastructure, Tools, and Services Support Services Considerations for Data Sharing Future of Data Sharing in Canada Conclusion Additional Readings and Resources Reference List The RDM Maturity Assessment Model in Canada (MAMIC) Introduction The Need: How to Assess an Institution’s RDM Services What Is a Maturity Assessment Model? And Why Does Canada Need One? How the MAMIC Was Created Using the MAMIC Benefits of the MAMIC Conclusion Additional Readings and Resources Reference List Working with Data Data Cleaning During the Research Data Management Process What Is Data Cleaning? Six Core Data Cleaning and Preparation Activities Data Cleaning Software Conclusion Reference List Further Adventures in Data Cleaning: Working with Data in Excel and R Introduction General Procedures to Prepare for Data Cleaning Data Cleaning Tools Conclusion A Glimpse Into the Fascinating World of File Formats and Metadata Introduction File Formats Metadata Conclusion Additional Readings and Resources Supporting Reproducible Research with Active Data Curation Introduction Platforms Guidelines for Data Storage Data Security Active Data Curation Going Further Conclusion Reference List Digital Preservation of Research Data Introduction Threats to Objects Over Time Digital Preservation in a Research Data Context Conclusion Additional Readings and Resources Reference List Data Management Planning for Open Science Workflows Introduction What Is Open Science? What Are Open Data? Case Study: The Meaningful Data Counts Project What Makes Open Data? Restrictions on Sharing Data Can I Share Data? Determining Data Ownership Conclusion Reference List Considering Types of Data Sensitive Data: Practical and Theoretical Considerations Introduction Human Participant Data Other Categories of Sensitive Data Preserving and Sharing Sensitive Data Conclusion Additional Readings and Resources Reference List Managing Qualitative Research Data Introduction The Nature of Qualitative Data Understanding Qualitative Research Data Generation Qualitative Research Data Meets RDM Conclusion Additional Readings and Resources Managing Quantitative Social Science Data Introduction Overview of Quantitative Social Science Research Managing Quantitative Social Science Research Data: Files, Formats, and Documentation RDM Issues Regarding Digital Tools and Software for Quantitative Social Science Data Collection Conclusion Additional Readings and Resources Reference List Geospatial Research Data in Canada: An Overview of Regional Projects Introduction Geospatial Data and GIS Regional Geospatial Projects Future Directions Additional Readings and Resources Reference List Perspectives on Research Data Management Research Data Management and the Open Science Movement: Positions and Challenges Introduction Positioning RDM in Open Science The Benefits of RDM in Context Beyond the Optimistic Discourse on Opening Science Conclusion: Being Open About Open Science Additional Readings and Resources Reference List A Practical Perspective on the Evolving Field of Research Data Management Introduction Why the Push for RDM? Whose Responsibility is It? Where is the Leading Edge? The Realities of Managing Research Data Conclusion Additional Readings and Resources Reference List Glossary Appendix 1: Data Management Plan Template Appendix 2: Sample of a Completed Section of the MAMIC Appendix 3: Chapter 10 Exercises Introduction Part 1 (Introductory): Explore the Data and the Code Repository Part 2 (Advanced): Run and Alter the Code Reference List Solutions Chapter 7, Data Cleaning During the Research Data Management Process Chapter 8, Further Adventures in Data Cleaning Chapter 13, Sensitive Data: Practical and Theoretical Considerations Chapter 14, Managing Qualitative Research Data Chapter 17, Research Data Management and the Open Science Movement
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