The Medical Library Association guide to data management for librarians / edited by Lisa Federer.

Includes bibliographical references and index.

Part I. Data management : theory and foundations -- Research data management for the digital research enterprise: a perspective from the national institutes of health / Valerie Florance -- What could possibly go wrong? : the impact of poor data management / Chris Eaker -- Research data as record / Bethany Myers -- Raising researchers' awareness of biomedical data journals to promote data sharing / Katherine G. Akers -- Data science : new librarian roles for a new field of research / Lisa M. Federer -- Data 101 : learning and keeping current in data management skills / Abigail Goben and Rebecca Raszewski -- Part II. Data management across the research data life cycle -- Library support for data management plans / Melissa Ratajeski, Carrie Iwema, and Andrea Ketchum -- Going beyond the data management plan / Lisa Zilinski, Abigail Goben, and Kristen Briney -- Library infrastructures for scholarship at scale / Steven Braun -- Contextualizing visualization in library services / Marci Brandenburg and Justin Joque -- Part III. Data management in practice -- Data services at a medium-sized academic library / Bonnie L. Fong, Minglu Wang, and Ann Vreeland Watkins -- Data information literacy : engaging with the undergraduate health sciences population / Yasmeen Shorish and Carolyn Schubert -- Building data management services at an academic medical center : an entrepreneurial approach / Alisa Surkis and Kevin Read -- Data management in the lab / Caitlin Bakker -- Demystifying data management : designing services for hospital-based researchers / Jeannine Cyr Gluck.

Description based on print version record and CIP data provided by publisher.

"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"--Provided by publisher.

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