Office of Advanced Cyberinfrastructure
Sustainable Digital Data Preservation and Access Network Partners (DataNet)
|Phil Bogdenemail@example.com||(703) 292-7092|
|Sylvia Spenglerfirstname.lastname@example.org||(703) 292-8930|
Important Information for Proposers
ATTENTION: Proposers using the Collaborators and Other Affiliations template for more than 10 senior project personnel will encounter proposal print preview issues. Please see the Collaborators and Other Affiliations Information website for updated guidance.
A revised version of the NSF Proposal & Award Policies & Procedures Guide (PAPPG) (NSF 17-1), is effective for proposals submitted, or due, on or after January 30, 2017. Please be advised that, depending on the specified due date, the guidelines contained in NSF 17-1 may apply to proposals submitted in response to this funding opportunity.
Science and engineering research and education are increasingly digital and increasingly data-intensive. Digital data are not only the output of research but provide input to new hypotheses, enabling new scientific insights and driving innovation. Therein lies one of the major challenges of this scientific generation: how to develop the new methods, management structures and technologies to manage the diversity, size, and complexity of current and future data sets and data streams. This solicitation addresses that challenge by creating a set of exemplar national and global data research infrastructure organizations (dubbed DataNet Partners) that provide unique opportunities to communities of researchers to advance science and/or engineering research and learning.
The new types of organizations envisioned in this solicitation will integrate library and archival sciences, cyberinfrastructure, computer and information sciences, and domain science expertise to:
- provide reliable digital preservation, access, integration, and analysis capabilities for science and/or engineering data over a decades-long timeline;
- continuously anticipate and adapt to changes in technologies and in user needs and expectations;
- engage at the frontiers of computer and information science and cyberinfrastructure with research and development to drive the leading edge forward; and
- serve as component elements of an interoperable data preservation and access network.
By demonstrating feasibility, identifying best practices, establishing viable models for long term technical and economic sustainability, and incorporating frontier research, these exemplar organizations can serve as the basis for rational investment in digital preservation and access by diverse sectors of society at the local, regional, national, and international levels, paving the way for a robust and resilient national and global digital data framework.
These organizations will provide:
- a vision and rationale that meet critical data needs, create important new opportunities and capabilities for discovery, innovation, and learning, improve the way science and engineering research and education are conducted, and guide the organization in achieving long-term sustainability;
- an organizational structure that provides for a comprehensive range of expertise and cyberinfrastructure capabilities, ensures active participation and effective use by a wide diversity of individuals, organizations, and sectors, serves as a capable partner in an interoperable network of digital preservation and access organizations, and ensures effective management and leadership; and
- activities to provide for the full data management life cycle, facilitate research as resource and object, engage in computer science and information science research critical to DataNet functions, develop new tools and capabilities for learning that integrate research and education at all levels, provide for active community input and participation in all phases and all aspects of Partner activities, and include a vigorous and comprehensive assessment and evaluation program.
Potential applicants should note that this program is not intended to support narrowly-defined, discipline-specific repositories.