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010   $a1-83880-986-4
024 8 $ahttps://doi.org/10.5772/intechopen.87201
035   $a(CKB)5400000000000071
035   $a(ScCtBLL)e381ce8d-4d0e-4c1c-81bb-28374f961d84
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/30117
035   $a(MiAaPQ)EBC31281452
035   $a(Au-PeEL)EBL31281452
035   $a(EXLCZ)995400000000000071
100   $a20211214i20202020  uu 
101 0 $aeng
135   $auru||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aOpen Scientific Data : $eWhy Choosing and Reusing the RIGHT DATA Matters /$fVera Lipton
205   $a1st ed.
210   $d2020
210  1$a[s.l.] :$cIntechOpen,$d2020.
215   $a1 online resource (1 p.)
330   $aThis 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.
606   $aComputers / Image Processing$2bisacsh
606   $aComputers
610   $aComputers
610   $aImage Processing
615  7$aComputers / Image Processing
615  0$aComputers
700   $aLipton$b Vera$01070974
801  0$bScCtBLL
801  1$bScCtBLL
906   $aBOOK
912   $a9910476771303321
996   $aOpen Scientific Data$92565508
997   $aUNINA