Rowman & Littlefield Publishers Medical Library Association Guide to Data Management for Librarians, The (Medical Library Association Books Series)

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. Review 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 About the Author Lisa M. Federer is Research Data Informationist at the National Institutes of Health (NIH) Library, where she provides training and support in the management, organization, and re-use of biomedical research data for researchers in the NIH's Intramural Research Program. She received her Masters of Library and Information Studies from the University of California, Los Angeles in 2011 and also holds an MA in English. She has also completed graduate certifications in data visualization from New York University and data science from Georgetown University.