I'm not sure if that kind of data will be desirable at Wikidata (not my personal opinion, just thinking about community).
For example, a lot of city articles contain info about temperature and precipitation[1], but, are we going to import into Wikidata all the temperature values from 1900 to present? (daily averages? minute-by minute?) I don't know what are the limits of Wikidata, but, we need some limits to work, probably. [1] http://en.wikipedia.org/wiki/Madrid#Climate 2012/4/4 Leukippos Institute <[email protected]> > Hi Sridhar, > > Nice to hear from you. I hope we can find many scientist to discuss this > with us. We need a wide support from the scientific community, because we > need to agree on a standardized format for data submission. > > I would like to know what other scientist think about the semantic web > http://en.wikipedia.org/wiki/Semantic_Web > as a structure to build a common data pool in which we publish directly > our data? > > I had an interesting discussion with David > Bikard<http://www.facebook.com/david.bikard> on > this subject on G+ Have a look here http://bit.ly/GWdmX4 > > David provided some interesting links: > http://biocyc.org/ > http://linkeddata.org/ > http://semanticweb.org/ > stackexchange.com > > Best > Gerd > > On Wed, Apr 4, 2012 at 4:23 PM, Sridhar Gutam <[email protected]> wrote: > >> Gerd and brought out an important discussion. there is lots of >> data underutilized in agricultural research too. under the current research >> on climate change, we need to bring out the data stored in individual >> desktops and published literature for meaningful analysis. >> >> I am also looking for the opportunity work with the community on >> development of platforms, mechanisms and advocay for open access to data. >> >> wikidata project would be best to work with... >> >> sridhar >> __________________________________________________________ >> Sridhar Gutam PhD, ARS, Patent Laws (NALSAR), IP & Biotech. (WIPO) >> Senior Scientist (Plant Physiology) >> Central Institute for Subtropical Horticulture <http://www.cishlko.org> >> Rehmankhera, Kakori Post >> Lucknow 227107, Uttar Pradesh, India >> Phone: +91-522-2841022/23/24; Fax: +91-522-2841025 >> Mobile:+91-9005760036/8005346136 >> <https://www.facebook.com/gutamsridhar> >> <http://www.linkedin.com/in/sridhargutam> >> <http://twitter.com/gutam2000><http://works.bepress.com/sridhar_gutam/rss.html> >> >> >> On 4 April 2012 19:42, Leukippos Institute < >> [email protected]> wrote: >> >>> Hi! >>> >>> I am a synthetic biologist. I see big changes in the way we do science >>> and how we will publish in the future. >>> >>> I see a huge need to publish all scientific data (especially raw data) >>> in a common free accessible data pool. This data should be machine >>> readable. We face in science huge data amounts, huge number of >>> publications. Nobody is longer able to read all the literature. We >>> need a computer assisted system to analyze these data and develop >>> novel concepts from them. We need a structuring of these data on a >>> higher abstraction level. We need to be able to go from abstraction to >>> detail. >>> >>> Thus I see the Wiki data project of potentially big value for >>> scientist. I would like that this project could serve in that manner >>> the scientific community and provide standards for submission of data >>> for scientist. Any plans in this direction? >>> >>> A bit more about the reasons, why I find this very important: >>> >>> I would summarize the upcoming trend in science as this: From >>> Hypothesis to Data-Driven Research, or the End of the Age of Science, >>> and the Dawn of the Age of Systemics. We can observe a paradigm change >>> in science, and two computer developments are responsible. The first >>> is the enormous storage capacity in the cloud. The second is that a >>> huge number of computers have been connected and organized in social >>> networks. These changes have resulted in huge quantities of data and >>> complex systems, a problem normal science cannot solve. The >>> traditional hypothesis method can deal with simple correlations >>> between A and B. But the method fails if the problem becomes more >>> complex. Science has been synonymous with a separating, reductionistic >>> approach. Contemporary science has come to a point where we will >>> change the perspective from reductionism to holism. We now move to a >>> position that sees things together: short systemics. The data-driven >>> science approach changes the scientific method and results in a >>> practice called "science 2.0" (named after web 2.0). "Science" will >>> happen in the cloud, with new publishing formats such as direct >>> publishing on blogs and direct publishing of our data in a human and >>> computer readable database, new and fast ways of collaboration in >>> social networks, and systems theory as the new "science" paradigm. >>> Systems theory is already important in fields such as systems biology >>> and its practical application synthetic biology.see NextGen VOICES, >>> Science 6 January 2012: vol. 335 no. 6064 pp. 36-38 DOI: >>> 10.1126/science.335.6064.36 >>> http://www.sciencemag.org/content/335/6064/36/suppl/DC1 >>> >>> Best >>> Gerd >>> >>> _______________________________________________ >>> Wikidata-l mailing list >>> [email protected] >>> https://lists.wikimedia.org/mailman/listinfo/wikidata-l >>> >> >> >> _______________________________________________ >> Wikidata-l mailing list >> [email protected] >> https://lists.wikimedia.org/mailman/listinfo/wikidata-l >> >> > > _______________________________________________ > Wikidata-l mailing list > [email protected] > https://lists.wikimedia.org/mailman/listinfo/wikidata-l > >
_______________________________________________ Wikidata-l mailing list [email protected] https://lists.wikimedia.org/mailman/listinfo/wikidata-l
