Toward interoperable bioscience data.

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Authors: Sansone, Susanna-Assunta
Philippe Rocca-Serra
Field, Dawn
Maguire, Eamonn
Taylor, Chris
Hofmann, Oliver
Fang, Hong
Neumann, Steffen
Tong, Weida
Amaral-Zettler, Linda
Begley, Kimberly
Booth, Tim
Bougueleret, Lydie
Gully Burns
Chapman, Brad
Clark, Tim
Coleman, Lee-Ann
Copeland, Jay
Das, Sudeshna
de Daruvar, Antoine
de Matos, Paula
Dix, Ian
Scott Edmunds
Evelo, Chris T
Forster, Mark J
Gaudet, Pascale
Gilbert, Jack
Carole Goble
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

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.

Journal: Nat Genet 2012 vol 44 issue 2 pagination 121-6

PMID: 22281772


ISSN: 1546-1718