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Research data management and data literacies / Tibor Koltay

By: Material type: TextTextLanguage: English Series: Chandos information professional seriesPublication details: Cambridge : Elsevier, 2022.Description: 184 pISBN:
  • 9780128244753
Subject(s): DDC classification:
  • 001.420285 KOL
Summary: 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.
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Item type Current library Collection Shelving location Call number Status Barcode
Reference Reference Kalaignar Centenary Library Madurai ENGLISH-REFERENCE BOOKS நான்காம் தளம் / Fourth floor 001.420285 KOL (Browse shelf(Opens below)) Not for loan 118545

Includes bibliographical references (p. 174-180) and 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.

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