Workshop on laboratory protocol standards for the Molecular Methods Database.
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.
Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden.
Tomas
T
Klingström
Larissa
L
Soldatova
Robert
R
Stevens
T Erik
TE
Roos
Morris A
MA
Swertz
Kristian M
KM
Müller
Matúš
M
Kalaš
Patrick
P
Lambrix
Michael J
MJ
Taussig
Jan-Eric
JE
Litton
Ulf
U
Landegren
Erik
E
Bongcam-Rudloff
D003226:Congresses as Topic; D019992:Databases as Topic; D020407:Internet; D007753:Laboratories / Q000592:standards; D008967:Molecular Biology / Q000379:methods* / Q000592:standards*