Idioma: Inglés
Publicado por Information Science Reference, 2022
ISBN 10: 1799897028 ISBN 13: 9781799897026
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 268,49
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
Idioma: Inglés
Publicado por Information Science Reference, 2022
ISBN 10: 1799897028 ISBN 13: 9781799897026
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 515,80
Cantidad disponible: 1 disponibles
Añadir al carritohardcover. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Idioma: Inglés
Publicado por Information Science Reference, 2022
ISBN 10: 1799897028 ISBN 13: 9781799897026
Librería: moluna, Greven, Alemania
EUR 284,00
Cantidad disponible: Más de 20 disponibles
Añadir al carritoGebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides both a foundational base of knowledge around data science and explores numerous ways academics can reskill their staff, engage in the research enterprise, contribute to curriculum development, and help build a stronger ecosystem where libraries are.
Idioma: Inglés
Publicado por Information Science Reference, 2022
ISBN 10: 1799897028 ISBN 13: 9781799897026
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 353,75
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Beyond providing space for data science activities, academic libraries are often overlooked in the data science landscape that is emerging at academic research institutions. Although some academic libraries are collaborating in specific ways in a small subset of institutions, there is much untapped potential for developing partnerships. As library and information science roles continue to evolve to be more data-centric and interdisciplinary, and as research using a variety of data types continues to proliferate, it is imperative to further explore the dynamics between libraries and the data science ecosystems in which they are a part. The Handbook of Research on Academic Libraries as Partners in Data Science Ecosystems provides a global perspective on current and future trends concerning the integration of data science in libraries. It provides both a foundational base of knowledge around data science and explores numerous ways academicians can reskill their staff, engage in the research enterprise, contribute to curriculum development, and help build a stronger ecosystem where libraries are part of data science. Covering topics such as data science initiatives, digital humanities, and student engagement, this book is an indispensable resource for librarians, information professionals, academic institutions, researchers, academic libraries, and academicians.