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Forum on Global Scientific Data Infrastructures.
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Forum on Global Scientific Data Infrastructures • What useful short-term efforts and deliverables could a global scientific community organization take on that would facilitate data-driven interoperability? Are there any low-hanging fruits or some common elements or approaches that should be addressed early in the process?
Coming At This Very Much From A Life Sciences Perspective, Which Means: • We have a series of well developed silos • Funding is very government dependent and almost exclusively along national boundaries • Data discovery is an increasing problem • Data does not mean knowledge - the tools to extract that knowledge from data are lacking
The DWF Hopes to Solve Problems that Transcend National BoundariesA United Nations for DataSuggestion 1: ProcessWork with One or More Bottom Up Approaches to the Problem as a Test Bed and (Hopefully) Testament
Driven by good will/need of practitioners • No government support – formed 501(c)3 • Defines global data standards • Develops joint deposition and annotation tools • Forms task forces to resolve issues eg new data types • Competes on “data out” Example of a Bottom up Approach wwpdb.org
Suggestion 2:Establish a Single Data Broker With Wide Usage That Conforms to the General Principle of What DWF is Trying to Do
Suggestion 3Learn from the App Model in Supporting Access and Analysis to Data (Could be a Business Model Here)