Sociomics: CESAGen Multidisciplinary Workshop on the Transformation of Knowledge Production in the Biosciences, and its Consequences. 23-24 July, 2007 Wellcome Trust Genome Campus, Hinxton, UK.

On 23 and 24 July, 2007, the Centre for Economic and Social Aspects of Genomics (CESAGen) held its first sociomics workshop at the Wellcome Trust Genome Campus, Hinxton, UK. The topic was transformation of knowledge production. Participants included social scientists together with those working on different elements of the proteomics knowledge production-line, including core facilities, data repositories, large-scale projects, MS, search engines, reference databases, standardisation and public funding. Recurrent motifs included gear-heads, black boxes, uncertainty and getting back to biology.

Proteomics and Beyond: a report on the 3rd Annual Spring Workshop of the HUPO-PSI 21-23 April 2006, San Francisco, CA, USA.

The theme of the third annual Spring workshop of the HUPO-PSI was "proteomics and beyond" and its underlying goal was to reach beyond the boundaries of the proteomics community to interact with groups working on the similar issues of developing interchange standards and minimal reporting requirements. Significant developments in many of the HUPO-PSI XML interchange formats, minimal reporting requirements and accompanying controlled vocabularies were reported, with many of these now feeding into the broader efforts of the Functional Genomics Experiment (FuGE) data model and Functional Genomics Ontology (FuGO) ontologies.

Sociomics! Using the IssueCrawler to map, monitor and engage with the global proteomics research network.

We invite comment upon an experiment to locate proteomics on the WWW using a software tool called the IssueCrawler. We call our research "sociomics" because, like the bioscience omics, it is a semi-automated, computerised approach to the global analysis of data, whose computerised results can be integrated towards the development of a new "systems sociology" approach to the study of society. Our findings are that proteomics on the web is a scale-free network whose nodes display considerable "dynamic range".