Information and Data Management  (IDM)

PROGRAM GUIDELINES

Announcement  04-500

As announced on May 21st, proposers must prepare and submit proposals to the National Science Foundation (NSF) using the NSF FastLane system at http://www.fastlane.nsf.gov/. This approach is being taken to support efficient Grants.gov operations during this busy workload period and in response to OMB direction guidance issued March 9, 2009. NSF will continue to post information about available funding opportunities to Grants.gov FIND and will continue to collaborate with institutions who have invested in system-to-system submission functionality as their preferred proposal submission method. NSF remains committed to the long-standing goal of streamlined grants processing and plans to provide a web services interface for those institutions that want to use their existing grants management systems to directly submit proposals to NSF.

Please be advised that the NSF Proposal & Award Policies & Procedures Guide (PAPPG) includes revised guidelines to implement the mentoring provisions of the America COMPETES Act (ACA) (Pub. L. No. 110-69, Aug. 9, 2007.) As specified in the ACA, each proposal that requests funding to support postdoctoral researchers must include a description of the mentoring activities that will be provided for such individuals. Proposals that do not comply with this requirement will be returned without review (see the PAPP Guide Part I: Grant Proposal Guide Chapter II for further information about the implementation of this new requirement).

DUE DATES

Archived

SYNOPSIS

The Information and Data Management (IDM) Program supports research and education activities fundamental to the design, implementation, development, management, and use of databases, information retrieval, and knowledge-based systems. Topics include design methodologies, data, metadata, information, knowledge and process/event modeling, information access and interaction, information integration, knowledge discovery and visualization, and systems architecture and implementation. Research areas span web-based systems, novel data types, scientific and engineering databases, and other intelligent information systems, efficient data gathering and storage/archival, information and data organization and management, including security/privacy issues, information flow, dynamic/evolutionary systems, change maintenance, and information life-cycle management, interoperability in heterogeneous systems, highly scalable, data-intensive, and distributed/mobile information systems, and performance and quality of service issues.

RELATED URLS

Additional Information

Computer & Information Science & Engineering (CISE) Directorate

Faculty Early Career Development (CAREER) Program

Grant Opportunities for Academic Liaison with Industry (GOALI)

Information & Intelligent Systems (IIS) Division

Information Technology Research (ITR) Initiative

NSF Cross-cutting Programs

Office of International Science and Engineering (INT)

Research Experience for Teachers (RET) Supplements (to current IDM awards)

Research Experiences for Undergraduates (REU) Supplements (to current IDM awards)

Research in Undergraduate Institutions (RUI) and Research Opportunity Awards (ROA)

Small Business Innovative Research (SBIR) and Small Business Technology Transfer (STTR) Programs

THIS PROGRAM IS PART OF

Data, Inference and Understanding Cluster

Abstracts of Recent Awards Made Through This Program

Discoveries