Re: GRDDL for clinical research data? (fwd)

Hi Chime,

it is really great that you do that. It is very important that the
HCLSIG would know what is happeneing in other SW groups, and the GRDDL
group is clearly one of those. Thanks for doing this!

Ivan

Chimezie Ogbuji wrote:
> 
> I thought the HCLSIG would be interested in this exchange about
> scenarios for using GRDDL for clinical research data - along the lines
> of previous threads on using XML and RDF in unison.
> 
> Chimezie Ogbuji
> Lead Systems Analyst
> Thoracic and Cardiovascular Surgery
> Cleveland Clinic Foundation
> 9500 Euclid Avenue/ W26
> Cleveland, Ohio 44195
> Office: (216)444-8593
> ogbujic@ccf.org
> 
> ---------- Forwarded message ----------
> Date: Thu, 17 Aug 2006 14:38:15 -0500
> From: Dan Connolly <connolly@w3.org>
> To: Chimezie Ogbuji <ogbujic@bio.ri.ccf.org>
> Cc: public-grddl-wg <public-grddl-wg@w3.org>
> Subject: Re: GRDDL for clinical research data?
> 
> On Thu, 2006-08-17 at 15:12 -0400, Chimezie Ogbuji wrote:
> 
>>
>> On Thu, 17 Aug 2006, Dan Connolly wrote:
>>
>>>
>>> Chime,
>>>
>>> You mentioned clinical research data in our 1st meeting.
>>>
>>> I suspect that's an interesting XML Schema (or plain XML?) use case.
>>>
>>> Do you have any details you can share?
>>
>>
>> Yes, absolutely.  Actually this is the primary motivation for joining the
>> GRDDL WG.  We have been developing a clinical research data management
>> system which uses XML as the 'main' representation format (organized
>> around a patient record), edits the XML remotely (on a variety of
>> devices)
>> via XForms, submits the XML document (via HTTP PUT to a unique URI for
>> each such record) to a server which (as part of the content management
>> services) transforms the XML to an RDF equivalent graph for persistence.
>>
>> Ofcouse, the expense of dual representation is space, but the primary
>> value is being able to query both as XML and as RDF (the latter being
>> more amenable for investigative question that rely on alot more
>> interpretation than a structured format such as XML will provide).
>>
>> A GRDDL approach could eleviate this expense by allowing a patient
>> record (or any XML-based
>> collection of clinical research data) to be queried semantically (via
>> SPARQL) 'on demand' by associating a GRDDL profile to the specific
>> patient
>> record XML vocabulary.
> 
> 
> 
> A figure of this "before GRDDL" and "with GRDDL" ways of working
> would be particularly nice.
> 
>> Imagine a fellow assigned to determine a search criteria to identify a
>> patient population for a particular study.  He might have a set of
>> classifications specific to the study he could express as logical rules
>> (N3 rules).  Then, he could write a client (that understood
>> GRDDL) that speculatively picked a few patient records at random from a
>> remote server (as XML documents) each of which would be associated (by
>> GRDDL
>> profile) to a transform to extract the clinical data as RDF (expressed in
>> a universally supported vocabulary for CPR - such as the HL7 OWL ontology
>> that Helen Chen from Agfa has been working on) and ask his
>> speculative questions of the resulting RDF graph.
>>
>> Or (to take the scenario a step further), apply the study specific rules
>> on the resulting RDF to classify the patient data according to his domain
>> of interest (specific diagnoses, pathological observations, etc..)
> 
> 
> Bingo. That use case
>   (1) is likely to be of interest to the healthcare/lifesci audience
> and
>   (2) motivates the use of GRDDL with XML vocabularies
> 
> Fabien, Danny, care to roll it in?
> 
> I'm tempted to do it myself... but I took an action to set up access
> for Fabien. I think WebDAV might work out better for all concerned
> than direct CVS/ssh access.
> Let's see...
>  from the WG homepage http://www.w3.org/2001/sw/grddl-wg/
>  to the Art of Consensus Guide
>  to the WebDAV docs http://www.w3.org/Guide/Jigedit/Webdav
> 
> Ah... I reached danny in #swig...
> http://chatlogs.planetrdf.com/swig/2006-08-17#T19-34-22
> 
> -- 
> Dan Connolly, W3C http://www.w3.org/People/Connolly/
> D3C2 887B 0F92 6005 C541  0875 0F91 96DE 6E52 C29E
> 

-- 

Ivan Herman, W3C Semantic Web Activity Lead
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