Toward interoperable bioscience data.

Toward interoperable bioscience data.

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 growi...

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Main Authors: Sansone, S, 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, Copeland, J, Das, S, de Daruvar, A, de Matos, P, Dix, I, Edmunds, S, Evelo, C, Forster, M, Gaudet, P, Gilbert, J, Goble, C, Griffin, J, Jacob, D, Kleinjans, J, Harland, L, Haug, K, Hermjakob, H, Ho Sui, S, Laederach, A, Liang, S, Marshall, S, McGrath, A, Merrill, E, Reilly, D, Roux, M, Shamu, C, Shang, C, Steinbeck, C, Trefethen, A, Williams-Jones, B, Wolstencroft, K, Xenarios, I, Hide, W
Format: Journal article
Language:English
Published: Nature Publishing Group 2012
Description
Summary: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.

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