Workshop on laboratory protocol standards for the Molecular Methods Database.

Klingström T, Soldatova L, Stevens R, Roos TE, Swertz MA, Müller KM, Kalaš M, Lambrix P, Taussig MJ, Litton JE, Landegren U, Bongcam-Rudloff E

N Biotechnol 30 (2) 109-113 [2013-01-25; online 2012-06-13]

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.

PLA Proteomics

QC bibliography QC xrefs

PubMed 22687389

DOI 10.1016/j.nbt.2012.05.019

Crossref 10.1016/j.nbt.2012.05.019