@article{KlingstromSoldatovaStevensetal.2013,
  author    = {Klingstrom, Tomas and Soldatova, Larissa and Stevens, Robert and Roos, T. Erik and Swertz, Morris A. and M{\"u}ller, Kristian M. and Kalas, Matus and Lambrix, Patrick and Taussig, Michael J. and Litton, Jan-Eric and Landegren, Ulf and Bongcam-Rudloff, Erik},
  title     = {Workshop on laboratory protocol standards for the molecular methods database},
  series = {New biotechnology},
  volume    = {30},
  journal   = {New biotechnology},
  number    = {2},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {1871-6784},
  doi       = {10.1016/j.nbt.2012.05.019},
  pages     = {109 -- 113},
  year      = {2013},
  abstract  = {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.},
  language  = {en}
}