Toward interoperable bioscience data

Thumbnail Image
Date
2012-01-27
Authors
Sansone, Susanna-Assunta
Rocca-Serra, Philippe
Field, Dawn
Maguire, Eamonn
Taylor, Chris
Hofmann, Oliver
Fang, Hong
Neumann, Steffen
Tong, Weida
Amaral-Zettler, Linda A.
Begley, Kimberly
Booth, Tim
Bougueleret, Lydie
Burns, Gully
Chapman, Brad
Clark, Tim
Coleman, Lee-Ann
Copeland, Jay
Das, Sudeshna
de Daruvar, Antoine
de Matos, Paula
Dix, Ian
Edmunds, Scott
Evelo, Chris T.
Forster, Mark K.
Gaudet, Pascale
Gilbert, Jack A.
Goble, Carole
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
Alternative Title
Date Created
Location
DOI
10.1038/ng.1054
Related Materials
Replaces
Replaced By
Keywords
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.
Description
© The Author(s), 2012. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Nature Genetics 44 (2012): 121-126, doi:10.1038/ng.1054.
Embargo Date
Citation
Nature Genetics 44 (2012): 121-126
Cruises
Cruise ID
Cruise DOI
Vessel Name
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 3.0 Unported