Biblioteca Digital

**Autoria(s):** Sansone S.A.; Rocca-Serra P.; Field D.; Maguire E.; Taylor C.; Hofmann O.; Fang H.; Neumann S.; Tong W.; Amaral-Zettler L.; Begley K.; Booth T.; Bougueleret L.; Burns G.; Chapman B.; Clark T.; Coleman L.A.; Copeland J.; Das S.; de Daruvar A.; de Matos P.; Dix I.; Edmunds S.; Evelo C.T.; Forster M.J.; Gaudet P.; Gilbert J.; Goble C.; Griffin J.L.; Jacob D.; Kleinjans J.; Harland L.; Haug K.; Hermjakob H.; Ho Sui S.J.; Laederach A.; Liang S.; Marshall S.; McGrath A.; Merrill E.; Reilly D.; Roux M.; Shamu C.E.; Shang C.A.; Steinbeck C.; Trefethen A.; Williams-Jones B.; Wolstencroft K.; Xenarios I.; Hide W.
Data(s)	2012
Resumo	To make full use of research data, the bioscience community needs to adopt technologies and reward mechanisms that support interoperability and promote the growth of an open 'data commoning' culture. Here we describe the prerequisites for data commoning and present an established and growing ecosystem of solutions using the shared 'Investigation-Study-Assay' framework to support that vision.
Identificador	https://serval.unil.ch/?id=serval:BIB_02858EC965DD isbn:1546-1718 (Electronic) pmid:22281772 doi:10.1038/ng.1054 isiid:000299664400006
Idioma(s)	en
Fonte	Nature Genetics, vol. 44, no. 2, pp. 121-126
Palavras-Chave	#Biomedical Research/standards; Information Storage and Retrieval/standards
Tipo	info:eu-repo/semantics/article article

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