Toward interoperable bioscience data

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

    Research output: Contribution to journalArticlepeer-review

    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 present an established and growing ecosystem of solutions using the shared 'Investigation-Study-Assay' framework to support that vision. © 2012 Nature America, Inc. All rights reserved.
    Original languageEnglish
    Pages (from-to)121-126
    Number of pages5
    JournalNature Genetics
    Volume44
    Issue number2
    DOIs
    Publication statusPublished - Feb 2012

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