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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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Γλώσσα:English
Έκδοση: InTechOpen 2020
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spelling oapen-20.500.12657-440202021-01-25T13:50:53Z Open Scientific Data Lipton, Vera Computers Image Processing bic Book Industry Communication::U Computing & information technology::UY Computer science::UYT Image processing 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. 2020-12-15T14:17:15Z 2020-12-15T14:17:15Z 2020 book 9781838809867 https://library.oapen.org/handle/20.500.12657/44020 eng application/pdf n/a external_content.pdf InTechOpen IntechOpen https://doi.org/10.5772/intechopen.87201 105001 https://doi.org/10.5772/intechopen.87201 09f6769d-48ed-467d-b150-4cf2680656a1 b818ba9d-2dd9-4fd7-a364-7f305aef7ee9 9781838809867 Knowledge Unlatched (KU) IntechOpen Knowledge Unlatched open access
institution OAPEN
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language English
description 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.
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publisher InTechOpen
publishDate 2020
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