Data Culture in Academic Libraries: A Practical Guide to Building Communities, Partnerships, and Collaborations

ALA Member
$88.20
Price
$98.00
Item Number
979-8-89255-615-6
Published
2025
Publisher
ACRL
Pages
338
Width
7"
Height
10"
Format
Softcover
AP Categories
A
I
P

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  • Description
  • Table of Contents
  • About the authors

Librarians and academic data specialists support the research data needs of faculty and students through conventional services such as consultations and workshops, but also increasingly by cultivating a data culture that supports the diverse data needs of their communities. The shift toward data-related research as a driver of social capital is a critical opportunity to reassess data literacy training and build a local scholarly culture around data.
 
In five parts, Data Culture in Academic Libraries: A Practical Guide to Building Communities, Partnerships, and Collaborations can help you foster an institutional culture that favors the curation, creation, and wider use of datasets.

  • Data at all Levels
  • Data Services and Instruction
  • Data Outreach
  • Data Communities
  • Data Partnerships 

Chapters include case studies, practical examples, and strategies from practitioners in North America, Asia, and Europe working in a wide range of academic contexts and fostering data partnerships and communities that often go beyond their libraries and institutions. Data Culture in Academic Libraries highlights the ways that library workers are developing novel and innovative models of relationship-building to improve data-related services while incorporating a lens of equity, diversity, anti-racism, and inclusion in programming events and partnerships.

Acknowledgments
 
Introduction
Alisa B. Rod and Marcela Y. Isuster
 
Section 1: Data at All Levels
Chapter 1. Collections as Data: A Data Literacy Tool for Community Engagement
Daria Orlowska and Lynn Houghton
 
Chapter 2. Teaching with Institutional History Data
Mackenzie Brooks
 
Chapter 3. Beyond Data Literacy: Helping Nontraditional Students Get “Ready4Research”
Ann Glusker and Dean Tanioka
 
Chapter 4. Managing Research Data and Information in Support of Accreditation Goals
Jeannie Bail and Tatiana Zaraiskaya
 
Chapter 5. Data Skills Taught on Campus
Jingjing Wu
 
Section 2: Data Services and Instruction
Chapter 6. Putting “Fun” in Fundamental Research Data Management: Data Communities and Education
Justin de la Cruz, Nicole Contaxis, Fred Willie Zametkin LaPolla, Genevieve Milliken, and Peace Ossom
 
Chapter 7. “Developing Others in Digital Stewardship”: Intersections Between Critical Data Literacies, an Ethics of Care, and Digitized Collections in GLAM Institutions
Angela I. Fritz
 
Chapter 8. Building as They Come: Comparative Case Studies of Co-constructing Data Visualization Services with Academic Communities
Alexandra Wong and Subhanya Sivajothy
 
Chapter 9. Collaboration, Materiality, and Multiplicity: New Approaches to Data Visualization Pedagogy
Subhanya Sivajothy and Alexandra Wong
 
Chapter 10. Developing a Primer for Developing Data Skills: The Story Behind Carnegie Mellon University Libraries Data Literacy Program
Emma Slayton
 
Section 3: Data Outreach
Chapter 11. Love Data Week: The World Collaborates on Data Engagement
Annalee Shelton
 
Chapter 12. UC Love Data Week as a Model for Building Grassroot Data Communities at Scale
Stephanie G. Labou, Katherine E. Koziar, and Ariel Deardorff
 
Chapter 13. Data + You: Promoting Data Literacy at Binghamton University
Ruth Carpenter, Amber Simpson, Melissa Haller, Mamen Rodriguez Galindo, Mary Tuttle, Hannah Jones, and Amanda Ortiz
 
Section 4: Data Communities
Chapter 14. Beyond Workshops: Building a Data Community Through Participatory Events
Marcela Y. Isuster
 
Chapter 15. Meeting the Challenges of Data Support Services in Academic Libraries: Advocating for an International DataSquad Model
Deborah Wiltshire, Paula Lackie, Tim Dennis, and Elizabeth Parke
 
Chapter 16. Connecting to Communities: Data Research Guide Partnerships as Agents of Change
Kevin Manuel, Alexandra Cooper, and Rosa Orlandini
 
Chapter 17. Curating, Catalyzing, Creating: Cultivating Data Culture in a Growing Research and Learning Community
Yun Dai
 
Section 5: Data Partnerships
Chapter 18. Engaging Communities to Build a Culture of Data Mutualism with Limited Resources
Jill Krefft, Jamie Rogers, Molly Castro, Elana Karshmer, and Rebecca Bakker
 
Chapter 19. Toward Fostering a Community Beyond Institutional Walls: Tone Perfect as a Case Study
Catherine Ryu and Devin Higgins
 
Chapter 20. Odesi: A Story of Partnerships to Improve Discovery and Access to Canadian Survey and Public Opinion Data
Jane Fry and Amber Leahey
 
Chapter 21. Building a Community of Canadian Dataverse Collection Administrators: Consortial Collaboration and Communities of Practice
Meghan Goodchild and John Huck
 
About the Editors and Authors

Marcela Y. Isuster

Marcela Y. Isuster is the coordinator of the Digital Scholarship Hub, and liaison librarian to the School of Information Studies and the Department of Hispanic Studies at McGill University in Montreal, Canada. She completed her master of library and information studies at McGill University. Prior to that, she earned a bachelor of arts degree with a specialization in journalism from Concordia University. Her research focuses on information literacy, digital humanities, diversity, equity, and inclusion (DEI) in libraries and, of course, data culture. Marcela is also the founder of Humanidades Digitales en Bibliotecas, a series of digital humanities workshops for Spanish-speaking librarians. She is originally from Argentina and has worked in both Canada and the US.

Alisa Beth Rod

Dr. Alisa Beth Rod is the research data management specialist at the McGill University Libraries. Alisa holds a master of information studies from McGill University, an MA and PhD in political science from the University of California, Santa Barbara, and a BA in bioethics from the American Jewish University. Prior to joining McGill, Alisa was the survey methodologist at Ithaka S+R and then the associate director of the Empirical Reasoning Center at Barnard College of Columbia University. Her research interests include research data management, data librarianship, and building community around data.