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 Wikidata-l(a)lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wikidata-l

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 &lt;gutam2000(a)gmail.com&gt;wrote;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 < > leukipposinstitute(a)googlemail.com&gt; 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 >> Wikidata-l(a)lists.wikimedia.org >> https://lists.wikimedia.org/mailman/listinfo/wikidata-l >> > > > _______________________________________________ > Wikidata-l mailing list > Wikidata-l(a)lists.wikimedia.org > https://lists.wikimedia.org/mailman/listinfo/wikidata-l > > _______________________________________________ Wikidata-l mailing list Wikidata-l(a)lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wikidata-l