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The Medical Library Association Guide to Data Management for Librarians

Editors:
Publisher:
 2016

Summary

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.

Keywords



Bibliographic data

Copyright year
2016
ISBN-Print
978-1-4422-6427-4
ISBN-Online
978-1-4422-6428-1
Publisher
Rowman & Littlefield, Lanham
Language
English
Pages
230
Product type
Edited Book

Table of contents

ChapterPages
    1. Contents No access
    2. Preface No access
    3. Acknowledgments No access
    1. Chapter 1 Research Data Management for the Biomedical Digital Research Enterprise No access
    2. Chapter 2 What Could Possibly Go Wrong? No access
    3. Chapter 3 Research Data as Record No access
    4. Chapter 4 Raising Researchers’ Awareness of Biomedical Data Journals to Promote Data Sharing No access
    5. Chapter 5 Data Science No access
    6. Chapter 6 Data 101 No access
    1. Chapter 7 Library Support for Data Management Plans No access
    2. Chapter 8 Going Beyond the Data Management Plan No access
    3. Chapter 9 Library Infrastructures for Scholarship at Scale No access
    4. Chapter 10 Contextualizing Visualization in Library Services No access
    1. Chapter 11 Data Services at a Medium-Size Academic Library No access
    2. Chapter 12 Data Information Literacy No access
    3. Chapter 13 Building Data Management Services at an Academic Medical Center No access
    4. Chapter 14 Data Management in the Lab No access
    5. Chapter 15 Demystifying Data Management No access
  1. Index No access Pages 223 - 226
  2. About the Authors No access Pages 227 - 230

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