Challenge evaluation for evaluating text mining and information extraction systems applied to the biological domain literature. BioCreAtIvE is focused more on the comparison of methods and the community assessment of scientific progress rather than on the purely competitive aspects.There is a considerable difficulty in constructing suitable gold standard data for training and testing new information extraction systems which handle life science literature. Thus the data sets derived from the BioCreAtIvE challenge - because they have been examined by biological database curators and domain experts - serve as useful resources for the development of new applications as well as helping to improve existing ones.Two main issues are addressed at BioCreAtIvE both concerned with the extraction of biologically relevant and useful information from the literature. The first one is concerned with the detection of biologically significant entities (names) such as gene and protein names and their association to existing database entries. The second one is concerned with the detection of entity-fact associations (e.g. protein - functional term associations ).

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