Research Data Management and Data Literacies / Koltay Tibor.

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

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.