Toward interoperable bioscience data

S.A. Sansone*, P. Rocca Serra, D. Field, E. Maguire, C. Taylor, O. Hofmann, H. Fang, S. Neumann, W. Tong, L. Amaral Zettler, K. Begley, T. Booth, L. Bougueleret, G. Burns, B. Chapman, T. Clark, L.A. Coleman, J. Copeland, S. Das, A. de DaruvarP. de Matos, I. Dix, S. Edmunds, C.T.A. Evelo, M.J. Forster, P. Gaudet, J. Gilbert, C. Goble, J.L. Griffin, D. Jacob, J. Kleinjans, L. Harland, K. Haug, H. Hermjakob, S.J. Ho Sui, A. Laederach, S. Liang, S. Marshall, A. McGrath, E. Merrill, D. Reilly, M. Roux, C.E. Shamu, C.A. Shang, C. Steinbeck, A. Trefethen, B. Jones, K. Wolstencroft, I. Xenarios, W. Hide

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

228 Citations (Web of Science)


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.
Original languageEnglish
Pages (from-to)121-126
Number of pages6
JournalNature Genetics
Issue number2
Publication statusPublished - Feb 2012

Cite this