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003 ES-MaONT
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008 200730s2020 fr ad o i|0| 0 eng d
040 _aES-MaONT
245 1 4 _aBuilding digital workforce capacity and skills for data-intensive science
260 _aParis :
_bOECD Publishing,
_cJuly 2020
300 _a63 p.
_b: il., gráf.
_c; 1 documento PDF
336 _atexto (visual)
_2isbdcontent
337 _aelectrónico
_2isbdmedia
338 _arecurso en línea
_2rdacarrier
490 1 _aOECD Science, Technology and Industry Policy Papers
_v; July 2020, No. 90
504 _aBibliografía: p. 51-57
520 3 _aThis report looks at the human resource requirements for data-intensive science, focusing primarily on research conducted in the public sector, and the related challenges and training needs. Digitalisation is, to some extent, being driven by science, while simultaneously affecting all aspects of scientific practice. Open science, including access to data, is being widely promoted, and investment in cyber-infrastructures and digital platforms is increasing; but inadequate attention has been given to the skills that researchers and research support professionals need to fully exploit these tools. The COVID-19 pandemic, which struck as this report was being finalised, has underscored the critical importance of data-intensive science and the need for strategic approaches to strengthening the digital capacity and skills of the scientific enterprise as a whole. The report includes policy recommendations for various actors and good practice examples to support these recommendations.
650 4 _aDatos abiertos
_92182
653 _aTransformación digital
653 _aCOVID-19
653 _acyber-infrastructures
653 _acyber-infrastructures
653 _adata
653 _adigital technologies
653 _ajobs
653 _askills
710 _aOrganización de Cooperación y Desarrollo Económico
_92843
830 0 _aOECD Science, Technology and Industry Policy Papers
_92724
856 4 2 _uhttps://www.oecd-ilibrary.org/docserver/e08aa3bb-en.pdf?expires=1596136518&id=id&accname=guest&checksum=ABC290F67EFCC00AF2989DD617B80C28
_yAcceso al documento
_x0
_qpdf
942 _cINF
_2udc
999 _c6071
_d6071