1. Digital Data Collections in Biology Collaborative Expedition Workshop November 8, 2005 Arlington, Virginia Chris Greer Program Director National Science Foundation

2. Inspector General National Science Board Director Deputy Director Staff Offices Computer & Information Science & Engineering Engineering Geosciences Mathematical & Physical Sciences Social, Behavioral & Economic Sciences Education & Human Resources Budget, Finance & Award Management Information Resource Management Biological Sciences Office of Cyber- infrastructure

3. Digital Data: Any information that can be stored in digital form and accessed electronically Digital Data Collection: Data and databases, infrastructure and facilities, organizations and individuals Long-lived: Timeframe that spans changes in technology and in user community Definitions:

4. Vision: A culture that values digital information A culture of science and education in which it is routinely expected that digital information can be readily found and understood through its presence in digital collections where it is reliably preserved and appropriately protected.

5. Vision: A digital data collections system that enables that culture A system of digital data collections that is as robust as that that exists now for preservation of information in the print realm.

6. National Science Board www.nsf.gov/nsb

7. NSF and Digital Collections Support for external rather than in- agency collections Support for external rather than in- agency collections Broad areas of science and engineering research and education Broad areas of science and engineering research and education Support for research, infrastructure, education, and training Support for research, infrastructure, education, and training Interagency partnerships Interagency partnerships

8. Framework for Analysis Policy should be informed by a clear vision of the needs and responsibilities of the participants in the “data collections universe” Policy should be informed by a clear vision of the needs and responsibilities of the participants in the “data collections universe” DataAuthors DataManagers DataUsers SupportingAgencies

9. Framework for Analysis The phrase “data collections” refers to a dynamic, heterogeneous community system Research Collections: Project level Resource Collections: Community level Reference Collections: Global Informed policy should recognize and build on the existing structure of the DC universe

10. Summary of Recommendations: Rational policy and strategy for digital collections support Community-proxy functions of the collections Data management plans in proposals Education and training for broad use Career path for data scientists

11. Community-Proxy Functions Curation Expert Annotation Standards & Ontology Development and Implementation Quality Analysis/Control

12. Data Management Plan Types of data to be produced Applicable standards Access policies and provisions Preservation

13. Data Scientists Combination of domain knowledge and information/computer science expertise Full intellectual engagement Contributions to the field

14. Vision for Digital Data Collections: A change in culture and a digital collections system to match

15. Contact: cgreer@nsf.gov