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Informationen zum Autor 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. Klappentext 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. From foundations to applications, this book provides context for librarians who are new to it as well as new ideas and approaches for experienced data librarians. Zusammenfassung 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. From foundations to applications, this book provides context for librarians who are new to it as well as new ideas and approaches for experienced data librarians. Inhaltsverzeichnis 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...
