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
--
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