Workshop on laboratory protocol standards for the molecular methods database

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

*Bijbehorende auteur voor dit werk

OnderzoeksoutputAcademicpeer review

8 Citaten (Scopus)
35 Downloads (Pure)


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.

Originele taal-2English
Pagina's (van-tot)109-113
Aantal pagina's5
TijdschriftNew Biotechnology
Nummer van het tijdschrift2
StatusPublished - 25-jan-2013

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