Handbook of research on academic libraries as partners in data science ecosystems:
"This book provides a foundational base of knowledge around data science and explores numerous ways academians can reskill their staff, engage in the research enterprise, contribute to curriculum development, and help build a stronger ecosystem where libraries are part and parcel of data scienc...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Hershey, PA
IGI Global
[2022]
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Zusammenfassung: | "This book provides a foundational base of knowledge around data science and explores numerous ways academians can reskill their staff, engage in the research enterprise, contribute to curriculum development, and help build a stronger ecosystem where libraries are part and parcel of data science." |
| Beschreibung: | Includes bibliographical references and index |
| ISBN: | 9781799897026 |
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Datensatz im Suchindex
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|---|---|
| adam_text | Table of Contents Foreword............................................................................................................................................................ xx Preface........................................... хх“ Section 1 Partnerships and Services Chapter 1 Exploring Data Science Initiatives Through an International Lens.............................................................. 1 Nandita S. Mani, University of North Carolina at Chapel Hill, USA Emily P. Jones, University of North Carolina at Chapel Hill, USA Rebecca Carlson, University of North Carolina at Chapel Hill, USA Fidan Limani, Leibniz Information Centre for Economics, Germany Atif Latif, Leibniz Information Centre for Economics, Germany Klaus Tochtermann, Leibniz Information Centre for Economics, Germany Faten Hamad, The University of Jordan, Jordan Christine J. Urquhart, Aberystwyth University, UK Victoria Lemieux, The University of British Columbia, Canada Sarah Ames, National Library of Scotland, UK Jenna Bain, State Library of New South Wales, Australia Justin Μ. Clark, Bond University, Australia Chapter 2 Advancing Data Science, Data-Intensive Research, and Its Understanding Through Collaboration... 25 Cynthia Hudson Vitale, Association of Research Libraries, USA Mary Lee Kennedy, Association of Research Libraries, USA Judy Ruttenberg, Association of Research Libraries, USA Chapter 3 People Who Need Data People: A Case Study in Building Cross-Campus Data Support..................... 45 Cameron Cook, University of Wisconsin-Madison, USA Heather Shimon, University of Wisconsin-
Madison, USA Sarah Stevens, University of Wisconsin-Madison, USA Trisha L. Adamus, University of Wisconsin-Madison, USA Clare Michaud, University of Wisconsin-Madison, USA
Chapter 4 Librarians as Partners in Biomedical Data Science: Opportunities and Challenges.......................... 61 Lisa Federer, National Library of Medicine, USA Chapter 5 Applying Bibliometrics to Examine Research Output and Highlight Collaboration........................... 75 Nandita S. Mani, University of North Carolina at Chapel Hill, USA Michelle Cawley, University of North Carolina at Chapel Hill, USA Adam Dodd, University of North Carolina at Chapel Hill, USA Barrie E. Hayes, University of North Carolina at Chapel Hill, USA Chapter 6 Orienting Data Services in the Library: Evolution of a Digital Scholarship Services Department... 102 Wasila Dahdul, University of California, Irvine, USA Madelynn Dickerson, University of California, Irvine, USA Danielle Kane, University of California, Irvine, USA Chapter 7 Digital Archives and Data Science: Building Programs and Partnerships for Health Sciences Research.............................................................................................................................................. 124 Kate Tasker, University of California, San Francisco, USA Rachel Taketa, University of California, San Francisco, USA Charles Macquarie, University of California, San Francisco, USA Ariel Deardorff, University of California, San Francisco, USA Section 2 Skill Development and Instruction Chapter 8 Using Machine Learning to Locate Evidence More Efficiently: New Roles for Academic Research
Librarians............................................................................................................................................. 144 Michelle A. Cawley, University of North Carolina at Chapel Hill, USA Chapter 9 Building, Sustaining, and Growing Multidisciplinary, Multi-Departmental Partnerships to Teach Open Science Tools..................... 169 Cody Hennesy, University of Minnesota, Twin Cities, USA Caitlin Bakker, University of Minnesota, Twin Cities, USA Nicholas J. H. Dunn, University of Minnesota, Twin Cities, USA David Naughton, University of Minnesota, Twin Cities, USA Franklin Sayre, Thompson Rivers University, Canada Stacie Traill, University ofMinnesota, Twin Cities, USA
Chapter 10 Making Data Right: Embedding Ethics and Data Management in Data Science Instruction Wanda Marsolek, University of Minnesota Libraries, USA Katie Barrick, University ofMinnesota Libraries, USA Alicia Kubas, University of Minnesota Libraries, USA Jenny McBurney, University ofMinnesota Libraries, USA Alicia Hofelich Mohr, University of Minnesota LATIS, USA Chapter 11 An Approach to Supporting Teaching With Data in the Social Sciences................................................ 209 Michele Hayslett, University of North Carolina at Chapel Hill, USA Angela Bardeen, University of North Carolina at Chapel Hill, USA Kayla Olson, University of North Carolina at Chapel Hill, USA Chapter 12 Data Scholarship and Student Engagement: Extra-curricular Research Investigations and Academic Libraries...................................... Ke Wu, University of Nottingham, Ningbo, China Xun Chen, University ofNottingham, Ningbo, China Bingyi Xiao, University of Nottingham, Ningbo, China Junyi Hu, University of Nottingham, Ningbo, China Linminqing Wang, University of Nottingham, Ningbo, China Ying Ding, University of Nottingham, Ningbo, China Yiran Li, University of Nottingham, Ningbo, China Yuxin Zheng, University of Nottingham, Ningbo, China Zilin Cai, University of Nottingham, Ningbo, China Jiafeng Zhou, Ningbo University of Technology, China Neil Smyth, University of Nottingham, Ningbo, China 233 Section 3 Research Data Management Chapter 13 Transforming RDM Conversations Into Collaborations: From Projects to Programs to Policy......... 262 Plato L. Smith II, University of
Florida, USA Erik Deumens, University of Florida, USA Matthew A. Gitzendanner, University of Florida, USA Christopher P. Barnes, University of Florida, USA Ying Zhang, University of Florida, USA Chelsea Johnston, University of Florida, USA
Chapter 14 Data Stewards, Curators, and Experts: Library Data Engagement at Samuel J. Wood Library at Weil Cornell Medicine.................................................................................................................................... 290 Peter R. Oxley, Weill Cornell Medicine, USA Sarah Ben Maamar, Weill Cornell Medicine, USA Teme Wheeler, Weill Cornell Medicine, USA Chapter 15 A Decade of Research Data Management at the University of Edinburgh: Looking Back, Looking Forward.............................................................................................................................................................. 308 Robin Rice, University of Edinburgh, UK Chapter 16 Research Data Management in Kenya’s Agricultural Research Institutes............................................. 334 Emily Jeruto Ng ’eno, Moi University, Kenya Stephen Mutuļa, University of KwaZulu-Natal, South Africa Compilation of References................................................................................................................... 362 About the Contributors............................................................................................................................... 400 Index 410
|
| adam_txt |
Table of Contents Foreword. xx Preface. хх“ Section 1 Partnerships and Services Chapter 1 Exploring Data Science Initiatives Through an International Lens. 1 Nandita S. Mani, University of North Carolina at Chapel Hill, USA Emily P. Jones, University of North Carolina at Chapel Hill, USA Rebecca Carlson, University of North Carolina at Chapel Hill, USA Fidan Limani, Leibniz Information Centre for Economics, Germany Atif Latif, Leibniz Information Centre for Economics, Germany Klaus Tochtermann, Leibniz Information Centre for Economics, Germany Faten Hamad, The University of Jordan, Jordan Christine J. Urquhart, Aberystwyth University, UK Victoria Lemieux, The University of British Columbia, Canada Sarah Ames, National Library of Scotland, UK Jenna Bain, State Library of New South Wales, Australia Justin Μ. Clark, Bond University, Australia Chapter 2 Advancing Data Science, Data-Intensive Research, and Its Understanding Through Collaboration. 25 Cynthia Hudson Vitale, Association of Research Libraries, USA Mary Lee Kennedy, Association of Research Libraries, USA Judy Ruttenberg, Association of Research Libraries, USA Chapter 3 People Who Need Data People: A Case Study in Building Cross-Campus Data Support. 45 Cameron Cook, University of Wisconsin-Madison, USA Heather Shimon, University of Wisconsin-
Madison, USA Sarah Stevens, University of Wisconsin-Madison, USA Trisha L. Adamus, University of Wisconsin-Madison, USA Clare Michaud, University of Wisconsin-Madison, USA
Chapter 4 Librarians as Partners in Biomedical Data Science: Opportunities and Challenges. 61 Lisa Federer, National Library of Medicine, USA Chapter 5 Applying Bibliometrics to Examine Research Output and Highlight Collaboration. 75 Nandita S. Mani, University of North Carolina at Chapel Hill, USA Michelle Cawley, University of North Carolina at Chapel Hill, USA Adam Dodd, University of North Carolina at Chapel Hill, USA Barrie E. Hayes, University of North Carolina at Chapel Hill, USA Chapter 6 Orienting Data Services in the Library: Evolution of a Digital Scholarship Services Department. 102 Wasila Dahdul, University of California, Irvine, USA Madelynn Dickerson, University of California, Irvine, USA Danielle Kane, University of California, Irvine, USA Chapter 7 Digital Archives and Data Science: Building Programs and Partnerships for Health Sciences Research. 124 Kate Tasker, University of California, San Francisco, USA Rachel Taketa, University of California, San Francisco, USA Charles Macquarie, University of California, San Francisco, USA Ariel Deardorff, University of California, San Francisco, USA Section 2 Skill Development and Instruction Chapter 8 Using Machine Learning to Locate Evidence More Efficiently: New Roles for Academic Research
Librarians. 144 Michelle A. Cawley, University of North Carolina at Chapel Hill, USA Chapter 9 Building, Sustaining, and Growing Multidisciplinary, Multi-Departmental Partnerships to Teach Open Science Tools. 169 Cody Hennesy, University of Minnesota, Twin Cities, USA Caitlin Bakker, University of Minnesota, Twin Cities, USA Nicholas J. H. Dunn, University of Minnesota, Twin Cities, USA David Naughton, University of Minnesota, Twin Cities, USA Franklin Sayre, Thompson Rivers University, Canada Stacie Traill, University ofMinnesota, Twin Cities, USA
Chapter 10 Making Data Right: Embedding Ethics and Data Management in Data Science Instruction Wanda Marsolek, University of Minnesota Libraries, USA Katie Barrick, University ofMinnesota Libraries, USA Alicia Kubas, University of Minnesota Libraries, USA Jenny McBurney, University ofMinnesota Libraries, USA Alicia Hofelich Mohr, University of Minnesota LATIS, USA Chapter 11 An Approach to Supporting Teaching With Data in the Social Sciences. 209 Michele Hayslett, University of North Carolina at Chapel Hill, USA Angela Bardeen, University of North Carolina at Chapel Hill, USA Kayla Olson, University of North Carolina at Chapel Hill, USA Chapter 12 Data Scholarship and Student Engagement: Extra-curricular Research Investigations and Academic Libraries. Ke Wu, University of Nottingham, Ningbo, China Xun Chen, University ofNottingham, Ningbo, China Bingyi Xiao, University of Nottingham, Ningbo, China Junyi Hu, University of Nottingham, Ningbo, China Linminqing Wang, University of Nottingham, Ningbo, China Ying Ding, University of Nottingham, Ningbo, China Yiran Li, University of Nottingham, Ningbo, China Yuxin Zheng, University of Nottingham, Ningbo, China Zilin Cai, University of Nottingham, Ningbo, China Jiafeng Zhou, Ningbo University of Technology, China Neil Smyth, University of Nottingham, Ningbo, China 233 Section 3 Research Data Management Chapter 13 Transforming RDM Conversations Into Collaborations: From Projects to Programs to Policy. 262 Plato L. Smith II, University of
Florida, USA Erik Deumens, University of Florida, USA Matthew A. Gitzendanner, University of Florida, USA Christopher P. Barnes, University of Florida, USA Ying Zhang, University of Florida, USA Chelsea Johnston, University of Florida, USA
Chapter 14 Data Stewards, Curators, and Experts: Library Data Engagement at Samuel J. Wood Library at Weil Cornell Medicine. 290 Peter R. Oxley, Weill Cornell Medicine, USA Sarah Ben Maamar, Weill Cornell Medicine, USA Teme Wheeler, Weill Cornell Medicine, USA Chapter 15 A Decade of Research Data Management at the University of Edinburgh: Looking Back, Looking Forward. 308 Robin Rice, University of Edinburgh, UK Chapter 16 Research Data Management in Kenya’s Agricultural Research Institutes. 334 Emily Jeruto Ng ’eno, Moi University, Kenya Stephen Mutuļa, University of KwaZulu-Natal, South Africa Compilation of References. 362 About the Contributors. 400 Index 410 |
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