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dc.contributor.authorLipton, Vera
dc.date.accessioned2020-12-15T14:17:15Z
dc.date.available2020-12-15T14:17:15Z
dc.date.issued2020
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/44020
dc.description.abstractThis book shows how the vision for open access to scientific data can be more readily achieved through a staged model that research funders, policy makers, scientists, and research organizations can adopt in their practice. Drawing on her own experiences with data processing, on early findings with open scientific data at CERN (the European Organization for Nuclear Research), and from case studies of shared clinical trial data, the author updates our understanding of research data - what it is; how it dynamically evolves across different scientific disciplines and across various stages of research practice; and how it can, and indeed should, be shared at any of those stages. The result is a flexible and pragmatic path for implementing open scientific data.
dc.languageEnglish
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UY Computer science::UYT Image processing
dc.subject.otherComputers
dc.subject.otherImage Processing
dc.titleOpen Scientific Data
dc.title.alternativeWhy Choosing and Reusing the RIGHT DATA Matters
dc.typebook
oapen.identifier.doihttps://doi.org/10.5772/intechopen.87201
oapen.relation.isPublishedBy09f6769d-48ed-467d-b150-4cf2680656a1
oapen.relation.isFundedByb818ba9d-2dd9-4fd7-a364-7f305aef7ee9
oapen.relation.isbn9781838809867
oapen.collectionKnowledge Unlatched (KU)
oapen.imprintIntechOpen
oapen.identifierhttps://openresearchlibrary.org/viewer/e381ce8d-4d0e-4c1c-81bb-28374f961d84
oapen.identifier.isbn9781838809867
grantor.number105001


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