Science today rewards only those who collect and distribute data. There is no reward for those who organise the data and theorise based on it — Sydney Brenner
Those words are from a talk at the Indian Institute of Science in Bangalore. I disagree with a decent chunk of what Dr. Brenner had to say, but he is right with that statement. There is a reason so much of the literature today is full of data production. And we will continue to produce data, but given how automated the process has become, and faster, and easier, does this merit publication, unless it is a new species or sub-species? We need to look more at the method developers, the people developing assembly algorithms, analysis algorithms and methods and infrastructures that make managing and analyzing these data possible.
The time is now. We MUST make that change.
Image by snowriderguy under a CC-BY-NC-ND license
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2 Comments
Yes, and part of the reason for this has been lack of “Analyst Friendly” infrastructure on the Web. Remember, the initial Web (Web 1.0) gave us “Authors”, the first stage of evolution (Web 2.0) gave us the “Citizen Journalis” and “Commenttor”, and now the second stage of evolution (Web 3.0 or Linked Data Web) will usher in the “Analyst” .
Without strucutured and interlnked data as part of the mix, the analysts cannot thrive.
The Linking Open Data (LOD) community [1] has been on the vanguard of this effort towards a Web that facilitates “Analysis for All”
Links:
1. http://esw.w3.org/topic/SweoIG/TaskForces/Commu...
2. http://dbpedia.org/About
Yes, and part of the reason for this has been lack of “Analyst Friendly” infrastructure on the Web. Remember, the initial Web (Web 1.0) gave us “Authors”, the first stage of evolution (Web 2.0) gave us the “Citizen Journalis” and “Commenttor”, and now the second stage of evolution (Web 3.0 or Linked Data Web) will usher in the “Analyst” .
Without strucutured and interlnked data as part of the mix, the analysts cannot thrive.
The Linking Open Data (LOD) community [1] has been on the vanguard of this effort towards a Web that facilitates “Analysis for All”
Links:
1. http://esw.w3.org/topic/SweoIG/TaskForces/Commu...
2. http://dbpedia.org/About