Nature Cell Biology
- 8, 1190 - 1194 (2006)
doi:10.1038/ncb1496
Modelling data across labs, genomes, space and timeJason R. Swedlow1, Suzanna E. Lewis2 & Ilya G. Goldberg31
Jason R. Swedlow is in the Division of Gene Regulation and Expression, Wellcome Trust Biocentre, Faculty of Life Sciences, University of Dundee, Dow Street, Dundee DD1 5EH, UK. 2
Suzanna E. Lewis is in the Life Sciences Division, 1 Cyclotron Road MS-64R0121, Lawrence Berkeley National Laboratory, Berkeley, CA 94729, USA. 3
Illya G. Goldberg is in the Image Informatics and Computational Biology Unit, Laboratory of Genetics, National Institute on Aging, National Institutes of Health, 333 Cassell Drive, Suite 4000, Baltimore, MD 21224, USA.
jason@lifesci.dundee.ac.uk
Logical models and physical specifications provide the foundation for storage, management and analysis of complex sets of data, and describe the relationships between measured data elements and metadata — the contextual descriptors that define the primary data. Here, we use imaging applications to illustrate the purpose of the various implementations of data specifications and the requirement for open, standardized, data formats to facilitate the sharing of critical digital data and metadata.
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