1. 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?

2. 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

3. The DWF Hopes to Solve Problems that Transcend National Boundaries A United Nations for Data Suggestion 1: Process Work with One or More Bottom Up Approaches to the Problem as a Test Bed and (Hopefully) Testament

4. Example of a Testbed

5. 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

6. Suggestion 2: Establish a Single Data Broker With Wide Usage That Conforms to the General Principle of What DWF is Trying to Do

7. Suggestion 3 Learn from the App Model in Supporting Access and Analysis to Data (Could be a Business Model Here)