Hi;
On or., 2011.eko mairen 27a 08:35, Andrea Splendiani wrote:
Hi,
long thread... I'm answering to this post, but I have read through it down
(at least to some point, I'm offline now).
two things:
- as for marketing and engagement of outside community, I'm not sure having
technological-oriented task forces is that bad. Sure BioRDF and LODD are
confusing, because they are names which relates to something largely unknown
outside the group. But if you have task forces on, say, biodatabases,
biostatistics, ... they may look more scientific already. It's a question of
mapping them to more established "scientific related fields".
- to get back to my original post, how many people on this list would be
interested in environmental/agricultural/ecological data ?
I am. In fact most probably I will get some funding from the government
to publish enrionmental data as LOD in the following weeks
Cheers
ciao,
Andrea
Il giorno 26/mag/2011, alle ore 15.16, Mark ha scritto:
On Thu, 26 May 2011 06:55:07 -0700, Tim Clark
<[email protected]> wrote:
I would lose the solution-based Task Groups and reformulate them as
problem-based.
for example, BioRDF has been working on gene lists for transcriptomic
experiments, we might recharter that Task Group to work on Genomic
Experiments, for example, or whatever concept area the Task members like
and is a logical step from what they are doing now, but with a PROBLEM
FOCUS ... you see the point.
I agree with Tim 100% on this. There are "subtle underlying benefits" to
this approach that I'm quite sensitive to at the moment. In particular,
since many of us are academics, it is important to look "scientific", as
opposed to having the appearance of being engineers or software
developers. Centering the groups around problems puts us firmly back on
academic ground, and makes it easier for us to live our academic lives in
peace :-) (and easier to get money from research-funding agencies)
Mark
Andrea Splendiani
Senior Bioinformatics Scientist
Centre for Mathematical and Computational Biology
+44(0)1582 763133 ext 2004
[email protected]
--
Mikel Egaña Aranguren, PhD
http://mikeleganaaranguren.com
Marie Curie post-doc at Ontology Engineering Group, UPM
http://www.oeg-upm.net/
