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Curating Research Data, Volumes 1 and 2
edited by Lisa R. Johnston for ACRL
Item Number: 978-0-8389-8918-0
 
Publisher: ACRL
Price: $110.00
 
 
 
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Volume One and Volume Two of Curating Research Data are also available separately.


632 pages
6” x 9”
Softcover
ISBN-13: 9780838989180
Year Published: 2017
AP Categories: A, I, P
Data are becoming the proverbial coin of the digital realm: a research commodity that might purchase reputation credit in a disciplinary culture of data sharing, or buy transparency when faced with funding agency mandates or publisher scrutiny. Unlike most monetary systems, however, digital data can flow in all too great an abundance. Not only does this currency actually “grow” on trees, but it comes from animals, books, thoughts, and each of us! And that is what makes data curation so essential. The abundance of digital research data challenges library and information science professionals to harness this flow of information streaming from research discovery and scholarly pursuit and preserve the unique evidence for future use.

In two volumes—Practical Strategies for Your Digital Repository and A Handbook of Current PracticeCurating Research Data presents those tasked with long-term stewardship of digital research data a blueprint for how to curate those data for eventual reuse. Volume One explores the concepts of research data and the types and drivers for establishing digital data repositories. Volume Two guides you across the data lifecycle through the practical strategies and techniques for curating research data in a digital repository setting. Data curators, archivists, research data management specialists, subject librarians, institutional repository managers, and digital library staff will benefit from these current and practical approaches to data curation.

Digital data is ubiquitous and rapidly reshaping how scholarship progresses now and into the future. The information expertise of librarians can help ensure the resiliency of digital data, and the information it represents, by addressing how the meaning, integrity, and provenance of digital data generated by researchers today will be captured and conveyed to future researchers.
 
 

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