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 Boundaries

A United Nations for Data

Suggestion 1: ProcessWork with One or More Bottom Up Approaches to the Problem as a Test Bed and (Hopefully) Testament

Example of a Testbed

• 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”

wwpdb.org

Example of a Bottom up Approach

Suggestion 2:

Establish a Single Data Broker With Wide Usage That Conforms to the General Principle of What DWF is Trying to Do

Suggestion 3

Learn from the App Model in Supporting Access and Analysis to Data (Could be a Business Model Here)