Workshop on laboratory protocol standards for the molecular methods databaseVisa övriga samt affilieringar
2013 (Engelska)Ingår i: New Biotechnology, ISSN 1871-6784, E-ISSN 1876-4347, Vol. 30, nr 2, s. 109-113Artikel i tidskrift (Refereegranskat) 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.
Ort, förlag, år, upplaga, sidor
2013. Vol. 30, nr 2, s. 109-113
Nationell ämneskategori
Medicin och hälsovetenskap Naturvetenskap
Identifikatorer
URN: urn:nbn:se:uu:diva-177987DOI: 10.1016/j.nbt.2012.05.019ISI: 000313786400002OAI: oai:DiVA.org:uu-177987DiVA, id: diva2:541735
Anmärkning
Correspondence Address: Bongcam-Rudloff, E.; Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Swemail: Erik.Bongcam@slu.se
2012-07-232012-07-232017-12-07Bibliografiskt granskad