Klingström, Tomas
- Institutionen för husdjurens biovetenskaper, Sveriges lantbruksuniversitet
Forskningsartikel2013Vetenskapligt granskad
Klingstrom, Tomas; Soldatova, Larissa; Stevens, Robert; Roos, T. Erik; Swertz, Morris A.; Mueller, Kristian M.; Kalas, Matus; Lambrix, Patrick; Taussig, Michael J.; Litton, Jan-Eric; Landegren, Ulf; Bongcam-Rudloff, Erik
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.
New Biotechnology
2013, volym: 30, nummer: 2, sidor: 109-113
Utgivare: ELSEVIER SCIENCE BV
Bioinformatik (beräkningsbiologi)
https://res.slu.se/id/publ/52340