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Workshop on laboratory protocol standards for the molecular methods database

By M.A. Swertz, T.E. Roos, R. Stevens, L. Soldatova, T. Klingstrom, E. Bongcam-Rudloff, U. Landegren, J.E. Litton, M.J. Taussig, P. Lambrix, M. Kalas and K.M. Muller

Abstract

Management of data to produce scientific knowledge is a key challenge for biological research in the 21st century. Emerging high-throughput technologies allow life science researchers to produce big data at speeds and in amounts that were unthinkable just a few years ago. This places high demands on all aspects of the workflow: from data capture (including the experimental constraints of the experiment), analysis and preservation, to peer-reviewed publication of results. Failure to recognise the issues at each level can lead to serious conflicts and mistakes; research may then be compromised as a result of the publication of non-coherent protocols, or the misinterpretation of published data. In this report, we present the results from a workshop that was organised to create an ontological data-modelling framework for Laboratory Protocol Standards for the Molecular Methods Database (MolMeth). The workshop provided a set of short- and long-term goals for the MolMeth database, the most important being the decision to use the established EXACT description of biomedical ontologies as a starting point

Year: 2013
OAI identifier: oai:ub.rug.nl:dbi/51bae5b27ea3b
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