I think that the problem is that Wikidata is not a storage in "the cloud" for all kind of scientific data. In the same fashion Wikipedia is not a portal for papers or academic publications, essays, lyrics, etc. Wikidata scope is not well defined yet, but it will have its limits, for sure.
2012/4/4 Leukippos Institute <[email protected]> > Emijrp The storage limit of the sever is a great point. In biomedicine is > this also of importance - see e.g. the second generation sequencing data. > One might need to go together with NIH and eventually Google to discuss > this matter. As a first effort might be a doable focused database > desirable. In order not to overload Wikidata server one might need to > limit. However, in my opinion need the problem I sketched to be solved. If > no solution can be found we might soon reach a point where it does make no > sense to continue to collect new biomedical data. At a beginning point this > discussion might be very theoretical, because many researchers still stuck > to the 300 year old publication model. They do this out of fear for their > career.A high impact journal paper results in a tax payer financed academic > position. Thus their will be at the beginning a limited number of > scientists who will comply and submit open access their raw data in real > time. However, if this will be a successfully system, there will be for > sure more founding for storage place on a server. The US government has > just announced their support research on big data. > > > On Wed, Apr 4, 2012 at 7:13 PM, emijrp <[email protected]> wrote: > >> 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 >> >> > > _______________________________________________ > Wikidata-l mailing list > [email protected] > https://lists.wikimedia.org/mailman/listinfo/wikidata-l > >
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