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Research data management and data literacies /

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,...

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Bibliographic Details
Main Author: Koltay, Tibor (Author)
Corporate Author: ScienceDirect (Online service)
Format: eBook
Language:English
Published: Cambridge, MA : Chandos Publishing is an imprint of Elsevier, [2022]
Series:Chandos information professional series.
Subjects:
Research > Data processing.
Information services > Management.
Services d'information > Gestion.
Information services > Management
Research > Data processing
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Intro
  • Research Data Management and Data Literacies
  • Copyright
  • Contents
  • Acknowledgments
  • Introduction
  • References
  • Chapter 1 Information, data, text, document
  • Introduction
  • Differing approaches to data and information
  • The DIKW approach
  • Data vs information
  • Data interpreted as texts
  • Big data
  • Research data
  • Data-driven decision-making
  • Documents in the light of information and data
  • References
  • Further reading
  • Chapter 2 Information and data ecologies
  • Introduction
  • Open science and open data
  • Data sharing and reuse
  • Misuse and misinterpretation of data
  • Reproducibility
  • Going FAIR
  • Data ethics
  • Data papers and data journals
  • Openness through citing research data and using alternative indicators
  • Other issues of the information ecosystem
  • Research information management
  • Reputation management
  • Demonstrating value by coauthoring publications
  • Information and data overload
  • Facing posttruth phenomena and the COVID-19 pandemic
  • References
  • Further reading
  • Chapter 3 Data quality, the essential "ingredient"
  • Introduction
  • The nature of research data quality
  • Actors and stakeholders
  • Data quality attributes
  • Trust: A distinguished data attribute
  • Technical and scientific quality
  • Other quality factors
  • Big data quality
  • Data governance
  • Managing and governing
  • The place of data governance within the organization
  • Data governance in big data environments and cloud computing
  • Standards, metadata, stewardship, and data governance
  • Conclusion
  • References
  • Further reading
  • Chapter 4 Research data management
  • Introduction
  • The nature of research data management
  • The development of RDM
  • The readiness for providing RDM services
  • Skills and competencies
  • Planning and building RDM services
  • The centrality of the research data life cycle
  • The importance of data management plans
  • RDM services
  • Data reference
  • Data citation
  • Data retrieval
  • RDM and data curation
  • RDM and research support services
  • Conclusion
  • References
  • Further reading
  • Chapter 5 New literacies in the age of convergence
  • Introduction
  • Approaching literacies
  • From information literacy to data literacy
  • Information literacy and data literacy: Allies or competitors?
  • The relationship to media literacy and MIL
  • The relationship to academic literacy and statistical literacy
  • Definitions and the nature of data literacy
  • Data literacy processes and competencies
  • A framework for data literacy
  • Data literacy in research and for civic life
  • Other relevant literacies
  • Visual literacy
  • Data visualization literacy
  • AI literacy
  • Conclusion
  • References
  • Further reading
  • Chapter 6 Roles and education of information and data professionals
  • Information and data professionals in academic libraries and beyond
  • Data librarians