Data science in the library : tools and strategies for supporting data-driven research and instruction

Bibliographische Detailangaben

Titel
Data science in the library tools and strategies for supporting data-driven research and instruction
verantwortlich
Herndon, Joel (HerausgeberIn)
veröffentlicht
London: Facet Publishing, 2022
Cambridge, UK: Cambridge University Press
Erscheinungsjahr
2022
Andere Ausgaben
Data science in the library: tools and strategies for supporting data-driven research and instruction
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Medientyp
E-Book
Datenquelle
HeBIS Verbundkatalog
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Zusammenfassung
In the last decade, data science has generated new fields of study and transformed existing disciplines. As data science reshapes academia, how can libraries and librarians engage with this rapidly evolving, dynamic form of research? Can libraries leverage their existing strengths in information management, instruction, and research support to advance data science?<br><br><i>Data Science in the Library: Tools and Strategies for Supporting Data-Driven Research and Instruction</i> brings together an international group of librarians and faculty to consider the opportunities afforded by data science for research libraries. Using practical examples, each chapter focuses on data science instruction, reproducible research, establishing data science services and key data science partnerships.<br><br>This book will be invaluable to library and information professionals interested in building or expanding data science services. It is a practical, useful tool for researchers, students, and instructors interested in implementing models for data science service that build community and advance the discipline.
Umfang
1 Online-Ressource (xxx, 146 pages)
Sprache
Englisch
Schlagworte
Forschungsdaten
Data Science
Bibliothek
Database management in libraries
Data curation in libraries
Data services librarians
Research
Big data
RVK-Notation
AN 73800
ISBN
9781783304615