- From: Matt Williams <matthew.williams@cancer.org.uk>
- Date: Wed, 03 Oct 2007 09:58:18 +0100
- To: Alan Ruttenberg <alanruttenberg@gmail.com>
- CC: public-semweb-lifesci hcls <public-semweb-lifesci@w3.org>
FWIW, I'd agree. I've used the data before for some work integrating Bayesian Nets & Ontologies (see 1 & 2). The data set is probably not (that) large by bioinformatics terms, but it is (clearly) clinically relevant, and so might help encourage clinically-minded people to have a look. The real "killer" might be to show how rdf-ing SEER data gives you an advantage - the obvious gain would be that if the SEER data were expressed in terms of a uniform ontology, it could link with some other data. HTH, Matt 1: http://www.kent.ac.uk/secl/philosophy/jw/2006/ObnetsPrognosis.pdf 2: http://www.kent.ac.uk/secl/philosophy/jw/2006/extended_abstract.pdf Alan Ruttenberg wrote: > > At a talk I attended today, this resource of patient cancer diagnoses > was mentioned as an example of publicly available clinical data. A quick > look over the documentation suggests it might be an interesting project > to produce an RDF version of the data set. > > http://seer.cancer.gov/data/ > > The SEER limited-use data* include SEER incidence and population data > associated by age, sex, race, year of diagnosis, and geographic areas > (including SEER registry and county) > > -Alan > > -- http://acl.icnet.uk/~mw http://adhominem.blogsome.com/ +44 (0)7834 899570
Received on Wednesday, 3 October 2007 08:58:34 UTC