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Sansone, Susanna-Assunta; Rocca-Serra, Philippe; Field, Dawn; Maguire, Eamonn; Taylor, Chris; Hofmann, Oliver; Fang, Hong; Neumann, Steffen; Tong, Weida; Amaral-Zettler, Linda; Begley, Kimberly; Booth, Tim; Bougueleret, Lydie; Burns, Gully; Chapman, Brad; Clark, Tim; Coleman, Lee-Ann; Copeland, Jay; Das, Sudeshna; de Daruvar, Antoine; de Matos, Paula; Dix, Ian; Edmunds, Scott; Evelo, Chris T; Forster, Mark J; Gaudet, Pascale; Gilbert, Jack; Goble, Carole; Griffin, Julian L; Jacob, Daniel; Kleinjans, Jos; Harland, Lee; Haug, Kenneth; Hermjakob, Henning; Ho Sui, Shannan J; Laederach, Alain; Liang, Shaoguang; Marshall, Stephen; McGrath, Annette; Merrill, Emily; Reilly, Dorothy; Roux, Magali; Shamu, Caroline E; Shang, Catherine A; Steinbeck, Christoph; Trefethen, Anne; Williams-Jones, Bryn; Wolstencroft, Katherine; Xenarios, Ioannis; Hide, Winston
Nature genetics, 02/2012, Letnik: 44, Številka: 2Journal Article
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.
