Open Scientific Data - Why Choosing and Reusing the RIGHT DATA Matters
This 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...
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| Formato: | Libro |
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IntechOpen
2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=4007495&site=ehost-live header: @attributes: shortDbName: nlebk uiTerm: 4007495 longDbName: eBook Collection (EBSCOhost) uiTag: AN controlInfo: bkinfo: btl: Open Scientific Data - Why Choosing and Reusing the RIGHT DATA Matters aug: au: Vera Lipton isbn: 9781838809843 9781838809867 imageinfo: pubinfo: dt: @attributes: year: 2020 month: 01 day: 01 dtAvail: @attributes: year: 2024 month: 10 day: 04 pub: IntechOpen pubContract: Intech Open place: London price: 0.01 limitsGroup: maxCheckoutDays: 1500 pda: N printPagesOffline: 100 printPagesOnline: 100 previewPages: 10000 prePubGroup: dewey: @attributes: class: 001.420285 item: 001 .420285 lc: @attributes: class: Q180.55.E4 item: Q 180 .55 .E4 artinfo: ui: 4007495 1150889120 formats: fmt: @attributes: type: EB doid: NL$4007495$PDF caption: PDF download: Y tig: atl: Open Scientific Data - Why Choosing and Reusing the RIGHT DATA Matters ptl: Open Scientific Data - Why Choosing and Reusing the RIGHT DATA Matters aug: au: Vera Lipton su: Science--Data processing Data mining Big data Research--Data processing Open access publishing sug: subj: COMPUTERS / Image Processing Science--Data processing Data mining Big data Research--Data processing Open access publishing ab: This 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. pubtype: eBook doctype: Book ougenre: Book language: English copyright: @attributes: flag: N copyrightText: holdings: @attributes: islocal: N |
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