Great comments! Thank you. I think that the storage capacity might be not
such a big problem at all. The data can be stored on the respective
scientists webpage and a pointer could be used. Only the pointer needs to
be stored on the server. I personally think that there is a need for a
semantic web for scientist. I do not fight any journal or institution.
There is no need. Neither that a big name supports this. The need is real,
because the traditional scientific concept can not deal with big data. If
this is usefully the concept will speak for itself. I know already many
people who wish this novel kind of publication. In respect to the question
of review: Maybe we do not need the traditional reviewer. I think of post
publication review in a social network context.

I still hope that Wikidata can offer a place for scientists. If anybody has
specific interest to work more on this subject, please let me know. I will
try in any case continue to work on a semantic web for scientists.

On Wed, Apr 4, 2012 at 8:57 PM, emijrp <[email protected]> wrote:

> 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
>>>>>>
>>>>>> _______________________________________________
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>>>>>>
>>>>>
>>>>>
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