Description
Book SynopsisTechnological 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
Trade ReviewFederer’s book is most useful in helping readers gain a better understanding of the broad range of interrelated issues that fall under the general heading of data management. . . . Federer is a highly regarded research data informationist at the National Institutes of Health (NIH) Library, and she has assembled a stellar group of authors. . . .[The book is] successful in painting a picture of the broad complexity of issues involved in dealing with research data. There are excellent chapters on the rise of data journals, the principles of data science, the relationship of traditional archival practices to the challenges of data curation, and the tools and practices for effectively visualizing data. . . . As sourcebooks, both volumes can serve as excellent reference materials. With Henderson’s many practical examples and extensive bibliographies in particular, it is difficult to imagine a question that a data librarian (or aspiring data librarian) might have that they won’t be able to find some help with here. . . .Regardless of where a librarian may be in their own grasp of data management issues, they will surely benefit from spending time with either or both of these books. (Reviewed jointly with Data Management: A Practical Guide for Librarians) * Journal of eScience Librarianship *
The Medical Library Association Guide to Data Management comes at a great time for libraries interested in data management services. Its strength is the breadth of its discussion - theoretical underpinning of data management through the pragmatism of case studies. There is a broader picture of the subject than is offered in other books covering similar topics. This book addresses theory within the context of every day decisions by researchers and addresses the role the library in providing a larger service related to data management and the changing landscape of research. -- Rikke Ogawa, Team Leader for Research, Instruction, and Collection Services, UCLA, Louise M. Darling Biomedical Library
Table of ContentsPart 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
