Medical Library Association Guide to Data Management for Librarians

Häftad, Engelska, 2016

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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.

Produktinformation

Utgivningsdatum2016-09-15
Mått175 x 255 x 15 mm
Vikt513 g
FormatHäftad
SpråkEngelska
SerieMedical Library Association Books Series
Antal sidor242
FörlagBloomsbury Publishing Plc
ISBN9781442264274
UtmärkelserDoody’s Core Titles 2022

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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.

Part One: Theory and FoundationsChapter 1. Data Management: Theory and FoundationsChapter 2. Research Data Management for the Digital Research Enterprise: A Perspective from the National Institutes of HealthValerie FloranceChapter 3. What Could Possibly Go Wrong? The Impact of Poor Data ManagementChris EakerChapter 4. Research Data as Record Bethany MyersChapter 5. Raising Researchers’ Awareness of Biomedical Data Journals to Promote Data SharingKatherine G. AkersChapter 6. Data Science: New Librarian Roles for a New Field of ResearchLisa M. FedererChapter 7. Data 101: Learning and Keeping Current in Data Management SkillsAbigail Goben and Rebecca RaszewskiPart Two: Data Management Across the Research Data Life CycleChapter 8. Data Management Across the Research Data Life CycleChapter 9. Library Support for Data Management PlansCarrie Iwema, Melissa Ratajeski, and Andrea KetchumChapter 10. Going Beyond the Data Management PlanLisa Zilinski, Abigail Goben, and Kristen BrineyChapter 11. Library Infrastructures for Scholarship at ScaleSteven BraunChapter 12. Contextualizing Visualization in Library ServicesMarci Brandenburg and Justin JoquePart Three: Data Management in PracticeChapter 13 Data Management in PracticeChapter 14. Data Services at a Medium-Sized Academic LibraryBonnie L. Fong, Minglu Wang, and Ann Vreeland WatkinsChapter 15. Data Information Literacy: Engaging with the Undergraduate Health Sciences PopulationYasmeen Shorish and Carolyn SchubertChapter 16. Building Data Management Services at an Academic Medical Center: An Entrepreneurial ApproachAlisa Surkis and Kevin ReadChapter 17. Data Management in the LabCaitlin BakkerChapter 18. Demystifying Data Management: Designing Services for Hospital-based ResearchersJeannine Cyr Gluck

Federer’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)