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Research data management and data literacies

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Research data management and data literacies/ Koltay Tibor.
Author:	Koltay, Tibor.
Published:	Cambridge, MA :Chandos Publishing is an imprint of Elsevier, : 2022.,
Description:	1 online resource (xi, 184 p.) :ill. :
Subject:	Research - Data processing. -
Online resource:	https://www.sciencedirect.com/science/book/9780128244753
ISBN:	9780323860024

Research data management and data literacies
Koltay, Tibor.

Research data management and data literacies[electronic resource] /Koltay Tibor. - Cambridge, MA :Chandos Publishing is an imprint of Elsevier,2022. - 1 online resource (xi, 184 p.) :ill. - Chandos information professional series. - Chandos information professional series..

Includes bibliographic references and index.

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

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 andthe 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.

ISBN: 9780323860024Subjects--Topical Terms:

595313
Research
--Data processing.Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: Q180.55.E4

Dewey Class. No.: 001.420285

Research data management and data literacies
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504 $a Includes bibliographic references and index.
505 0 $a 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
505 8 $a 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
505 8 $a 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
505 8 $a 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?
505 8 $a 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 anddata professionals -- Information and data professionals in academic libraries and beyond -- Data librarians
520 $a 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 andthe 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.
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