Data science in the library Tools and Strategies for Supporting Data-Driven Research and Instruction
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 man...
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| Format: | Book |
| Language: | English |
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London, United Kingdom
Facet Publishing
2022
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| Online Access: | Click Here to View Status and Holdings. |
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| 090 | 0 | 0 | |a Z711.97 |b D38 2021 |
| 245 | 0 | 0 | |a Data science in the library |b Tools and Strategies for Supporting Data-Driven Research and Instruction |c [Edited by] Joel Herndon |
| 264 | # | 1 | |a London, United Kingdom |b Facet Publishing |c 2022 |
| 264 | # | 4 | |c ©2022 |
| 300 | # | # | |a xxx, 146 pages |c 24 cm |
| 336 | # | # | |a text |b txt |2 rdacontent |
| 337 | # | # | |a unmediated |b n |2 rdamedia |
| 338 | # | # | |a volume |b nc |2 rdacarrier |
| 504 | # | # | |a includes references and index |
| 505 | 0 | # | |a Figures - Note on Contributors - Acknowledgements - Abbreviations - Introduction: The Rise of Data Science - PART 1: DATA SCIENCE AND RESEARCH LIBRARIES - PERSPECTIVES- 1 Sustainability and Success Models for Informal Data Science Training within Libraries Subject - 2 The Fundación Juan March Data Lab: A Data Science Unit within a Research Support Library - PART 2: DATA SCIENCE INSTRUCTION - 3 Toward Reproducibility: Academic Libraries and Open Science - 4 Start with Data Science - PART 3: DATA SCIENCE SERVICES - 5 In Support of Data-Intensive Science at the University of Washington - 6 From a Data Archive to Data Science: Supporting Current Research - PART 4: DESIGNING AND STAFFING DATA SCIENCE - 7 In-House Training as the First Step to Becoming a Data Savvy Librarian - 8 Designing for Data Science: Planning for Library Data Services - Index |
| 520 | # | # | |a 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? Data Science in the Library: Tools and Strategies for Supporting Data-Driven Research and Instruction 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. 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. |
| 526 | 0 | # | |a UMUM |b KOLEKSI UMUM |5 PTAR HUiTM |
| 650 | 0 | 0 | |a Database management in libraries |
| 650 | 0 | 0 | |a Data curation in libraries |
| 650 | 0 | 0 | |a Data services librarians |
| 650 | 0 | 0 | |a Research |x Data processing |
| 700 | 1 | # | |a Herndon, Joel |e editor |
| 040 | # | # | |a Shah Alam |
| 856 | 4 | 0 | |z Click Here to View Status and Holdings. |u https://opac.uitm.edu.my/opac/detailsPage/detailsHome.jsp?tid=981791 |
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The Data Librarians Handbook