Research Data Management and Data Literacies
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Research Data Management and Data Literacies help researchers familiarize themselves with RDM, and with the services increasingly offered by libraries. This new volume looks at data-intensive science, or ‘Science 2.0’ as it is sometimes termed in commentary, from a number of perspectives, including the tasks academic libraries need to fulfil, new services that will come online in the near future, data literacy and its relation to other literacies, research support and the need to connect researchers across the academy, and other key issues, such as ‘data deluge,’ the importance of citations, metadata and data repositories. This book presents a solid resource that contextualizes RDM, including good theory and practice for researchers and professionals who find themselves tasked with managing research data.
Key Features
- Gives guidance on organizing, storing, preserving and sharing research data using Research Data Management (RDM)
- Contextualizes RDM within the global shift to data-intensive research
- Helps researchers and information professionals understand and optimize data-intensive ways of working
- Considers RDM in relation to varying needs of researchers across the sciences and humanities
- Presents key issues surrounding RDM, including data literacy, citations, metadata and data repositories
Readership
Researchers and professionals who find themselves tasked with managing research data
Table of Contents
- Cover image
- Title page
- Table of Contents
- Copyright
- Acknowledgments
- Introduction
- References
- Chapter 1: Information, data, text, document
- Abstract
- Introduction
- Differing approaches to data and information
- References
- Further reading
- Chapter 2: Information and data ecologies
- Abstract
- Introduction
- Open science and open data
- Data ethics
- Data papers and data journals
- Openness through citing research data and using alternative indicators
- Other issues of the information ecosystem
- References
- Further reading
- Chapter 3: Data quality, the essential “ingredient”
- Abstract
- Introduction
- The nature of research data quality
- Actors and stakeholders
- Data quality attributes
- Big data quality
- Data governance
- Conclusion
- References
- Further reading
- Chapter 4: Research data management
- Abstract
- Introduction
- The nature of research data management
- Planning and building RDM services
- RDM services
- RDM and data curation
- RDM and research support services
- Conclusion
- References
- Further reading
- Chapter 5: New literacies in the age of convergence
- Abstract
- Introduction
- Approaching literacies
- From information literacy to data literacy
- Other relevant literacies
- Conclusion
- References
- Further reading
- Chapter 6: Roles and education of information and data professionals
- Abstract
- Information and data professionals in academic libraries and beyond
- Research data management education
- Education for data literacy
- Similarities and convergences in the pedagogical approaches to the education for literacies
- References
- Index
Product details
- No. of pages: 196
- Language: English
- Copyright: © Chandos Publishing 2021
- Published: October 31, 2021
- Imprint: Chandos Publishing
- eBook ISBN: 9780323860024
- Paperback ISBN: 9780128244753
About the Author
Koltay Tibor
Tibor Koltay is a Professor at the Eszterházy Károly University, in the Institute of Learning Technologies, Hungary. His research interests include information literacy and data literacy, Research Data Management (RDM), and information overload. He has served as a committee member for international conferences, sits on the editorial board for several journals in library and information science, and is widely published.
Affiliations and Expertise
Professor, Eszterházy Károly University, Institute of Learning Technologies, Hungary
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