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Databrarianship: The Academic Data Librarian in Theory and Practice
Edited by Lynda Kellam and Kristi Thompson for ACRL
Item Number: 978-0-8389-8799-5
 
Publisher: ACRL
Price: $68.00
 
 
 
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386 pages
6” x 9”
Softcover
ISBN-13: 978-0-8389-8799-5
Year Published: 2016
AP Categories: P
With the appearance of big data, open data, and particularly research data curation on many libraries’ radar screens, data service has become a critically important topic for academic libraries. Drawing on the expertise of a diverse community of practitioners, this collection of case studies, original research, survey chapters, and theoretical explorations presents a wide-ranging look at the field of academic data librarianship.

By covering the data lifecycle from collection development to preservation, examining the challenges of working with different forms of data, and exploring service models suited to a variety of library types, this volume provides a toolbox of strategies that will allow librarians and administrators to respond creatively and effectively to the data deluge.

Edited by Kristi Thompson and Lynda Kellam, Databrarianship: The Academic Data Librarian in Theory and Practice provides advice and insight on data services for all types of academic libraries and will be of interest to library educators.
Table of Contents

Acknowledgments
Introduction
Kristi Thompson and Lynda Kellam, editors

Part I.    Data Support Services for Researchers and Learners

chapter 1. A Studio Model for Academic Data Services
Samantha Guss

chapter 2. Embedded Options: A Common Framework
Cynthia Hudson-Vitale

chapter 3. Data Reference: Strategies for Subject Librarians
Bobray Bordelon

chapter 4. The Data Management Village: Collaboration among Research Support Providers in the Large Academic Environment
Alicia Hofelich Mohr, Lisa R. Johnston, and Thomas A. Lindsay

chapter 5. The Data Librarian in the Liberal Arts College
Ryan Clement

chapter 6. Teaching Foundational Data Skills in the Library
Adam Beauchamp and Christine Murray

chapter 7. Technical Data Skills for Reproducible Research
Harrison Dekker and Paula Lackie

chapter 8. Restricted Data Access and Libraries
Jen Darragh

Part II. Data in the Disciplines

chapter 9. Supporting Geospatial Data
Nicole Scholtz

chapter 10. From Traditional to Crowd and Cloud: Geospatial Data Services at GMU
Joy Suh

chapter 11. Qualitative Research and Data Support: The Jan Brady of Social Sciences Data Services?
Mandy Swygart-Hobaugh

chapter 12. Data in the Sciences
Karen Stanley Grigg

Part III. Data Preservation and Access

chapter 13. Scholarly Communication and Data
Hailey Mooney

chapter 14. Data Sharing Policies in Social Sciences Academic Journals: Evolving Expectations of Data Sharing as a Form of Scholarly Communication
Joel Herndon, Ph.D. and Robert O’Reilly, Ph.D.

chapter 15. Selection and Appraisal of Digital Research Datasets
Christopher Eaker

chapter 16. Local Data Success Story: The University of Calgary Library’s Ten Years with the City of Calgary
Susan McKee

chapter 17. Metadata for Social Science Data: Collaborative Best Practices
Jane Fry and Amber Leahey

chapter 18. Exploring Disciplinary Metadata and Documentation Practices to Strengthen Data Archiving Services
Elizabeth Rolando, Lisha Li, Ameet Doshi, Alison Valk, and Karen Young

Part IV. Data: Past, Present, And Future
chapter 19. View from Across the Pond: A UK Perspective
Robin Rice

chapter 20. The Academic Data Librarian Profession in Canada: History and Future Directions
Elizabeth Hill and Vincent Gray

chapter 21. Data Librarianship: A Day in the Life—Science Edition
Danianne Mizzy and Michele Hayslett

chapter 22. Teaching Data Librarianship to LIS Students
Michael McCaffrey and Walter Giesbrecht

Part IV. Data: Past, Present, And Future

chapter 19. View from Across the Pond: A UK Perspective
Robin Rice

chapter 20. The Academic Data Librarian Profession in Canada: History and Future Directions
Elizabeth Hill and Vincent Gray

chapter 21. Data Librarianship: A Day in the Life—Science Edition
Danianne Mizzy and Michele Hayslett

chapter 22. Teaching Data Librarianship to LIS Students
Michael McCaffrey and Walter Giesbrecht

Author Biographies
About the Editors

Lynda M. Kellam
is the Data Services Librarian at the University of North Carolina at Greensboro’s University Libraries. She is the co-author with Katharin Peter of Numeric Data Services and Sources for the General Data Librarian (2011). She received her MA from the University of Wisconsin, Madison, her MLIS from UNCG, and is currently a doctoral student in History at UNCG.

Kristi Thompson is the Data Librarian at the University of Windsor and currently heads the systems department. Before coming to the University of Windsor in 2006, she was a Data Services Specialist at Princeton University, and she has also worked as a freelance digital librarian and web developer. She has a BA in Computer Science and Classics and a Masters in Library Science.
Reviews

”Richly informative, this work will add depth and context to the work of anyone building data support services in libraries."
— Library Journal

”If you read one book about data librarianship, this should be the one! This book will help educate future generations of librarians interested in this reconceptualized field. It is sorely needed and greatly welcomed."
— Journal of Electronic Resources Librarianship

Databrarianship: The Academic Data Librarian in Theory and Practice is an essential read for anyone interested in or supporting data services and solutions in an academic library."
— College & Research Libraries

”In Databrarianship: The Academic Data Librarian in Theory and Practice, the editors have collected a thoroughly detailed and informative examination of data librarianship practices, skills, strategies, and perspectives that information professionals can utilize as they develop, improve, and expand data and research support services in their respective institutions."
— The Journal of Academic Librarianship
 
 

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