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Tibor

Research Data Management and Data Literacies

Medium: Buch
ISBN: 978-0-12-824475-3
Verlag: Elsevier Science Publishing Co Inc
Erscheinungstermin: 04.11.2021
Lieferfrist: bis zu 10 Tage
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.

Produkteigenschaften


  • Artikelnummer: 9780128244753
  • Medium: Buch
  • ISBN: 978-0-12-824475-3
  • Verlag: Elsevier Science Publishing Co Inc
  • Erscheinungstermin: 04.11.2021
  • Sprache(n): Englisch
  • Auflage: Erscheinungsjahr 2021
  • Serie: Chandos Information Professional Series
  • Produktform: Kartoniert
  • Gewicht: 342 g
  • Seiten: 196
  • Format (B x H x T): 150 x 227 x 8 mm
  • Ausgabetyp: Kein, Unbekannt

Autoren/Hrsg.

Autoren

Tibor, Koltay

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.

1. Introduction 2. Open data, research data 3. The age of new literacies 4. Data literacy 5. Research Data Management 6. Data quality, the essential "ingredient" 7. Data librarians and data scientists 8. The educational background 9. Some educational programs and curricula