Marshall, Stephen, Reilly, Dorothy, Sansone, Susanna-Assunta, Rocca-Serra, Philippe, Field, Dawn, Maguire, Eamonn, Taylor, Chris, Hide, Winston, Hofmann, Oliver, Fang, Hong, Neumann, Steffan, Tong, Weida, Amaral-Zettler, Linda, Begley, Kimberly, Booth, Tim, Bougueleret, Lydie, Burns, Gully, Chapman, Brad, Clark, Tim, Coleman, Lee-Ann, Das, Sudeshna, de Daruvar, Antoine, de Matos, Paula, Dix, Ian, Edmunds, Scott, Evelo, Chris, Forster, Mark, Gaudet, Pascale, Gilbert, Jack, Goble, Carole, Griffin, Julian L, Jacob, Daniel, Kleinjans, Jos, Harland, Lee, Haug, Kenneth, Hermjakob, Henning, Ho Sui, Shannon, Laederach, Alain, Liang, Shaoguang, Merrill, Emily M, Roux, Magali, Saito, Jahn-Takeshi, Scheuerman, Richard H, Steinbeck, Christoph, Trefethen, Anne, Williams-Jones, Bryn, Wolstencroft, Katherine, Xenarios, Ioannis, Shamu, Caroline, McGrath, Annette, Shang, Catherine and Copeland, Jay (2012) Towards interoperable bioscience data. Nature Genetics, 44 (2). pp. 121-126. ISSN 1061-4036

Abstract

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 describe an established and growing ecosystem of solutions using shared concepts to support that vision.

Item Type:	Article
Related URLs:	http://www.ncbi.nlm.nih.gov/pubmed/22281...
Additional Information:	author can archive post-print (ie final draft post-refereeing); Publisher's version/PDF cannot be used
Keywords:	data sharing, reproducible research, data commoning, ISA commons, data curation, ISA framework, ISA-Tab
Related URLs:	http://www.ncbi.nlm.nih.gov/pubmed/22281...
Date Deposited:	13 Oct 2015 13:14
Last Modified:	13 Oct 2015 13:14
URI:	https://oak.novartis.com/id/eprint/6327