Full Description
Technological advances and the rise of collaborative, interdisciplinary approaches have changed the practice of research. The 21st century researcher not only faces the challenge of managing increasingly complex datasets, but also new data sharing requirements from funders and journals. Success in today's research enterprise requires an understanding of how to work effectively with data, yet most researchers have never had any formal training in data management.
Libraries have begun developing services and programs to help researchers meet the demands of the data-driven research enterprise, giving librarians exciting new opportunities to use their expertise and skills. The Medical Library Association Guide to Data Management for Librarians highlights the many ways that librarians are addressing researchers' changing needs at a variety of institutions, including academic, hospital, and government libraries. Each chapter ends with "pearls of wisdom," a bulleted list of 5-10 takeaway messages from the chapter that will help readers quickly put the ideas from the chapter into practice.
From theoretical foundations to practical applications, this book provides a background for librarians who are new to data management as well as new ideas and approaches for experienced data librarians.
Contents
Part One: Theory and Foundations
Chapter 1. Data Management: Theory and Foundations
Chapter 2. Research Data Management for the Digital Research Enterprise: A Perspective from the National Institutes of Health
Valerie Florance
Chapter 3. What Could Possibly Go Wrong? The Impact of Poor Data Management
Chris Eaker
Chapter 4. Research Data as Record
Bethany Myers
Chapter 5. Raising Researchers' Awareness of Biomedical Data Journals to Promote Data Sharing
Katherine G. Akers
Chapter 6. Data Science: New Librarian Roles for a New Field of Research
Lisa M. Federer
Chapter 7. Data 101: Learning and Keeping Current in Data Management Skills
Abigail Goben and Rebecca Raszewski
Part Two: Data Management Across the Research Data Life Cycle
Chapter 8. Data Management Across the Research Data Life Cycle
Chapter 9. Library Support for Data Management Plans
Carrie Iwema, Melissa Ratajeski, and Andrea Ketchum
Chapter 10. Going Beyond the Data Management Plan
Lisa Zilinski, Abigail Goben, and Kristen Briney
Chapter 11. Library Infrastructures for Scholarship at Scale
Steven Braun
Chapter 12. Contextualizing Visualization in Library Services
Marci Brandenburg and Justin Joque
Part Three: Data Management in Practice
Chapter 13 Data Management in Practice
Chapter 14. Data Services at a Medium-Sized Academic Library
Bonnie L. Fong, Minglu Wang, and Ann Vreeland Watkins
Chapter 15. Data Information Literacy: Engaging with the Undergraduate Health Sciences Population
Yasmeen Shorish and Carolyn Schubert
Chapter 16. Building Data Management Services at an Academic Medical Center: An Entrepreneurial Approach
Alisa Surkis and Kevin Read
Chapter 17. Data Management in the Lab
Caitlin Bakker
Chapter 18. Demystifying Data Management: Designing Services for Hospital-based Researchers
Jeannine Cyr Gluck
