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Re: NBIC PhD Course on Managing Life Science Information, Amsterdam Oct. 17 - 21, 28

From: Michel Dumontier <michel.dumontier@gmail.com>
Date: Mon, 3 Oct 2011 01:07:19 +0100
Message-ID: <CALcEXf4G76h8rc9i0OvMOW9bO0ciL8B06xaGzZSrCvTzfLdYmw@mail.gmail.com>
To: "M. Scott Marshall" <mscottmarshall@gmail.com>
Cc: HCLS <public-semweb-lifesci@w3.org>
Looks great !

m.

On Sun, Oct 2, 2011 at 11:56 PM, M. Scott Marshall <mscottmarshall@gmail.com
> wrote:

> Semantic Web emphasis. Postdocs also welcome. Material borrowed from other
> successful SemWeb tutorials and courses such as the SADI course. Bolstered
> by experts such as Andrew Gibson, Katherine Wolstencroft, Erik Roos, Paul
> Groth, Kristina Hettne, and Frank van Harmelen.
> *
> *
> *NBIC PhD Course on Managing Life Science Information (2nd edition)*
> *
> *
> Course coordinators: Marco Roos, M. Scott Marshall
>
> *Date:* 17-21 October 2011  (one week of tutorials) and a final workshop
> on Friday 28 October 2011 to discuss project results
> *Location:* Science Park, Amsterdam
> *Registration:* http://www.nbic.nl/education/nbic-phd-school/enrolment/
> *Website: *
> http://www.nbic.nl/education/nbic-phd-school/course-schedule/managing-life-science-information/
>
>
>
> Did you ever suspect that the data that you need is somewhere but neither
> discoverable nor accessible?
> Have you ever produced valuable data that nobody can use anymore, including
> yourself?
> Have you ever wondered how to create a federation of distributed data
> sources?
> If you do not want your data to end up in a data graveyard, and for many
> other information management issues, we have organised a course for you.
>
> In this course we will teach you methods to make data shareable and
> self-describing.
> You will learn how RDF and the 'Linked Data' principle works and how to:
>
>    1. Apply linked data for 'meaningful' data integration
>    2. Expose your local data (including relational databases) for use in
>    other systems.
>    3. Use Web Services to analyse data from anywhere.
>    4. Apply text mining to link resources such as biobanks.
>    5. Make human knowledge computable and associated with data.
>    6. Make your data publishable artifacts for which you can get
>    scientific credit.
>    7. Use tools such as MolGenis <http://www.molgenis.org/>, Taverna<http://www.taverna.org.uk/>
>    , SPARQL <http://www.w3.org/TR/sparql11-query/>, D2RQ<http://www4.wiwiss.fu-berlin.de/bizer/d2rq/>
>    , SWObjects <http://tinyurl.com/swobjects-swat4ls>, NCBO's BioPortal<http://bioportal.bioontology.org/>
>    , Anni <http://www.biosemantics.org/index.php?page=anni-2-0>, LarKC <http://larkc.org/>(Large
>    Knowledge Collider) and SADI <http://sadiframework.org/>.
>    8. Collaboratively solve an information management problem
>
> *
>
>
> Program* (tentative)
> Monday:
> Introduction by leading Semantic Web expert Prof. Dr. Frank van Harmelen;
> Hands-on with RDF and SPARQL (M. Scott Marshall)
>
> Tuesday:
> RDF, Minimal information models, and exposing data from local databases (M.
> Scott Marshall); hands-on with MolGenis (Erik Roos)
>
> Wednesday:
> Data integration with Web Services (Katherine Wolstencroft); Hands-on with
> Taverna (Katherine Wolstencroft)
>
> Thursday:
> Knowledge management and nano-publication (Andrew Gibson); Hands-on
> federated queries with SWObjects (M. Scott Marshall)
>
> Friday:
> Text mining for linking biobanks and hands-on with Anni (Marco Roos,
> Kristina Hettne); Hands-on with LarKC (Paul Groth); DRINKS!!!
>
>


-- 
Michel Dumontier
Associate Professor of Bioinformatics
Carleton University
http://dumontierlab.com
Received on Monday, 3 October 2011 00:08:48 GMT

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