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Workshop on laboratory protocol standards for the molecular methods database
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2013 (English)In: New Biotechnology, ISSN 1871-6784, Vol. 30, no 2, 109-113 p.Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2013. Vol. 30, no 2, 109-113 p.
National Category
Medical and Health Sciences Natural Sciences
URN: urn:nbn:se:uu:diva-177987DOI: 10.1016/j.nbt.2012.05.019ISI: 000313786400002OAI: oai:DiVA.org:uu-177987DiVA: diva2:541735

Correspondence Address: Bongcam-Rudloff, E.; Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Swemail: Erik.Bongcam@slu.se

Available from: 2012-07-23 Created: 2012-07-23 Last updated: 2013-02-25Bibliographically approved

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Landegren, Ulf
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