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Research article - Peer-reviewed, 2013

Workshop on laboratory protocol standards for the molecular methods database

Klingstrom, Tomas; Soldatova, Larissa; Stevens, Robert; Roos, T. Erik; Swertz, Morris A.; Mueller, Kristian M.; Kalas, Matus; Lambrix, Patrick; Taussig, Michael J.; Litton, Jan-Eric; Landegren, Ulf; Bongcam-Rudloff, Erik

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.

Published in

New Biotechnology
2013, Volume: 30, number: 2, pages: 109-113
Publisher: ELSEVIER SCIENCE BV