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Data management : a practical guide for librarians : practical guides for librarians, No 28

By: Henderson, Margaret E
Material type: BookSeries: Publisher: Blue Ridge Summit : Rowman & Littlefield Publishers, 2016.Description: xvii, 195 p. ; 28 cm.ISBN: 9781442264380Subject(s): Information storage and retrieval systemsDDC classification: 005.74 HE DA Online resources: Location Map
Summary:
Data Management will guide readers through data management basics and best practices following through the data lifecycle. Guidance for starting and growing a data management service includes suggestions for assessment. Specifics about how to use the reference interview to help with data management, writing data management plans for grants, and finding collaborators are covered in depth. Specialty areas such as teaching data management and data reuse are also included.
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Item type Home library Call number Status Date due Barcode Item holds
REGULAR University of Wollongong in Dubai
Main Collection
005.74 HE DA (Browse shelf) Available T0011614
Total holds: 0

List of Figures and Tables; Preface; Acknowledgments; Ch01. What Is Data and Why Should Librarians Be Involved?; Ch02. Understanding Research and the Role of Data; Ch03. Best Practices for Working with Research Data; Ch04. Data Interviews; Ch05. Storing, Curating, and Preserving Data; Ch06. Documentation and Metadata; Ch07. Publishing and Sharing Data; Ch08. Writing Data Management Plans; Ch09. Starting Data Management Services; Ch10. Leveraging Partnerships; Ch11. Expanding RDM Service; Ch12. Teaching Data; Ch13. Reusing Data; Ch14. Data Management Roles for Librarians; Glossary

Data Management will guide readers through data management basics and best practices following through the data lifecycle. Guidance for starting and growing a data management service includes suggestions for assessment. Specifics about how to use the reference interview to help with data management, writing data management plans for grants, and finding collaborators are covered in depth. Specialty areas such as teaching data management and data reuse are also included.

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