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Curating Research Data, Volume One - Practical Strategies for Your Digital Repository (Paperback)
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Curating Research Data, Volume One - Practical Strategies for Your Digital Repository (Paperback)
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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. Volume One of Curating Research Data
explores the variety of reasons, motivations, and drivers for why
data curation services are needed in the context of academic and
disciplinary data repository efforts. Twelve chapters, divided into
three parts, take an in-depth look at the complex practice of data
curation as it emerges around us. Part I sets the stage for data
curation by describing current policies, data sharing cultures, and
collaborative efforts currently underway that impact potential
services. Part II brings several key issues, such as cost recovery
and marketing strategy, into focus for practitioners when
considering how to put data curation services in action. Finally,
Part III describes the full lifecycle of data by examining the
ethical and practical reuse issues that data curation practitioners
must consider as we strive to prepare data for the future. 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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