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Research Data Management in the Canadian Context
- Format:
- Book
- Author/Creator:
- Carlisle-Johnston, Emily, author.
- Dennie, Danielle, author.
- Fortin, Émilie, author.
- Hill, Elizabeth, author.
- Thompson, Kristi, author.
- Language:
- English
- Subjects (All):
- Computer science--Textbooks.
- Computer science.
- Databases--Textbooks.
- Databases.
- Physical Description:
- 1 online resource
- Place of Publication:
- [Place of publication not identified] Western University 2024.
- Language Note:
- In English.
- Summary:
- 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.
- Contents:
- Using this Textbook
- About the Editors
- Acknowledgements
- Foreword: Reflections on a Career in Data Librarianship
- First Principles in Research Data Management
- A Canadian Context for Research Data Management
- Working with Data
- Considering Types of Data
- Perspectives on Research Data Management
- Glossary
- Appendix 1: Data Management Plan Template
- Appendix 2: Sample of a Completed Section of the MAMIC
- Appendix 3: Chapter 10 Exercises
- Solutions
- Notes:
- Description based on print resource
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