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020 _a9783031187001
_9978-3-031-18700-1
024 7 _a10.1007/978-3-031-18700-1
_2doi
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100 1 _aBettivia, Rhiannon.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_988331
245 1 0 _aDocumenting the Future: Navigating Provenance Metadata Standards
_h[electronic resource] /
_cby Rhiannon Bettivia, Yi-Yun Cheng, Michael Robert Gryk.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _aXIII, 114 p. 55 illus., 50 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Information Concepts, Retrieval, and Services,
_x1947-9468
505 0 _aAt the Intersection of Provenance and Metadata -- Introduction to PROV -- PROV Advanced Topics -- ProvONE -- Introduction to PREMIS -- PREMIS Advanced Topics.
520 _aThis book explores provenance, the study and documentation of how things come to be. Traditionally defined as the origins, source, or ownership of an artifact, provenance today is not limited to historical domains. It can be used to describe what did happen (retrospective provenance), what could happen (subjunctive provenance), or what will happen (prospective provenance). Provenance information is ubiquitous and abundant; for example, a wine label that details the winery, type of grape, and country of origin tells a provenance story that determines the value of the bottle. This book presents select standards used in organizing provenance information and provides concrete examples on how to implement them. Provenance transcends disciplines, and this book is intended for anyone who is interested in documenting workflows and recipes. The goal is to empower readers to frame and answer provenance questions for their own work. Provenance is increasingly important in computational workflows and e-sciences and addresses the need for a practical introduction to provenance documentation with simple-to-use multi-disciplinary examples and activities. Case studies and examples address the creation of basic records using a variety of provenance metadata models, and the differences between PROV, ProvONE, and PREMIS are discussed. Readers will gain an understanding of the uses of provenance metadata in different domains and sectors in order to make informed decisions on their use. Documenting provenance can be a daunting challenge, and with clear examples and explanations, the task will be less intimidating to explore provenance needs.
650 0 _aComputer science.
_99832
650 0 _aLibrary science.
_988333
650 0 _aApplication software.
_988334
650 0 _aInformation storage and retrieval systems.
_922213
650 1 4 _aComputer Science.
_99832
650 2 4 _aLibrary Science.
_988337
650 2 4 _aComputer and Information Systems Applications.
_988338
650 2 4 _aInformation Storage and Retrieval.
_923927
700 1 _aCheng, Yi-Yun.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_988340
700 1 _aGryk, Michael Robert.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_988341
710 2 _aSpringerLink (Online service)
_988344
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031186998
776 0 8 _iPrinted edition:
_z9783031187018
776 0 8 _iPrinted edition:
_z9783031187025
830 0 _aSynthesis Lectures on Information Concepts, Retrieval, and Services,
_x1947-9468
_988346
856 4 0 _uhttps://doi.org/10.1007/978-3-031-18700-1
912 _aZDB-2-SXSC
942 _cEBK
999 _c86235
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