Division of Information & Intelligent Systems
Information and Data Management
This program has been archived.
Important Notice to Proposers
A revised version of the NSF Proposal & Award Policies & Procedures Guide (PAPPG), NSF 13-1, was issued on October 4, 2012 and is effective for proposals submitted, or due, on or after January 14, 2013. Please be advised that, depending on the specified due date, the guidelines contained in NSF 13-1 may apply to proposals submitted in response to this funding opportunity.
Please be aware that significant changes have been made to the PAPPG to implement revised merit review criteria based on the National Science Board (NSB) report, National Science Foundation's Merit Review Criteria: Review and Revisions. While the two merit review criteria remain unchanged (Intellectual Merit and Broader Impacts), guidance has been provided to clarify and improve the function of the criteria. Changes will affect the project summary and project description sections of proposals. Annual and final reports also will be affected.
A by-chapter summary of this and other significant changes is provided at the beginning of both the Grant Proposal Guide and the Award & Administration Guide.
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.
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
What Has Been Funded (Recent Awards Made Through This Program, with Abstracts)
Map of Recent Awards Made Through This Program