Workshop on laboratory protocol standards for the molecular methods database
2013 (English)In: New Biotechnology, ISSN 1871-6784, Vol. 30, no 2, 109-113 p.Article in journal (Refereed) Published
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
Elsevier, 2013. Vol. 30, no 2, 109-113 p.
Computer Science Bioinformatics (Computational Biology)
IdentifiersURN: urn:nbn:se:liu:diva-87662DOI: 10.1016/j.nbt.2012.05.019ISI: 000313786400002PubMedID: 22687389OAI: oai:DiVA.org:liu-87662DiVA: diva2:590045
FunderSwedish e‐Science Research Center