The evolution of standards and data management practices in systems biology

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dc.contributor.authorStanford, Natalie J.en_ZA
dc.contributor.authorWolstencroft, Katherineen_ZA
dc.contributor.authorGolebiewski, Martinen_ZA
dc.contributor.authorKania, Renateen_ZA
dc.contributor.authorJuty, Nicken_ZA
dc.contributor.authorTomlinson, Christopheren_ZA
dc.contributor.authorOwen, Stuarten_ZA
dc.contributor.authorButcher, Sarahen_ZA
dc.contributor.authorHermjakob, Henningen_ZA
dc.contributor.authorLe Novere, Nicolasen_ZA
dc.contributor.authorMueller, Wolfgangen_ZA
dc.contributor.authorSnoep, Jackyen_ZA
dc.contributor.authorGoble, Caroleen_ZA
dc.date.accessioned2016-11-10T13:47:05Z
dc.date.available2016-11-10T13:47:05Z
dc.date.issued2015-12
dc.descriptionCITATION: Stanford, N. J. et al. 2015. The evolution of standards and data management practices in systems biology. Molecular Systems Biology, 11, 851, doi:10.15252/msb.20156053.
dc.descriptionThe original publication is available at http://msb.embopress.org
dc.description.abstractSystems biology involves the integration of multiple heterogeneous data sets, in order to model and predict biological processes. The domain's interdisciplinary nature requires data, models and other research assets to be formatted and described in standard ways to enable exchange and reuse. Infrastructure for Systems Biology Europe (ISBE) is a project to establish essential, centralized services for systems biology researchers throughout the systems biology lifecycle. A key component of ISBE is to support the management, integration and exchange of data, models, results and protocols. To inform further ISBE development, we surveyed the community to evaluate the uptake of available standards, and current practices of researchers in data and model management.en_ZA
dc.description.urihttp://msb.embopress.org/content/11/12/851
dc.description.versionPublisher's version
dc.format.extent4 pages : illustrations
dc.identifier.citationStanford, N. J. et al. 2015. The evolution of standards and data management practices in systems biology. Molecular Systems Biology, 11, 851, doi:10.15252/msb.20156053.
dc.identifier.issn1744-4292 (online)
dc.identifier.otherdoi:10.15252/msb.20156053
dc.identifier.urihttp://hdl.handle.net/10019.1/99832
dc.language.isoen_ZAen_ZA
dc.publisherEMBO
dc.rights.holderAuthors retain copyright
dc.subjectData management practicesen_ZA
dc.subjectSystems biology dataen_ZA
dc.titleThe evolution of standards and data management practices in systems biologyen_ZA
dc.typeArticleen_ZA
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