rrobbins@NSF.GOV ("Robert J. Robbins") (02/27/91)
NATIONAL SCIENCE FOUNDATION Division of Information, Robotics and Intelligent Systems Directorate for Computer and Information Science and Engineering R E S E A R C H O N S C I E N T I F I C D A T A B A S E S Special Announcement PROPOSAL DEADLINE: May 15, 1991 ............................................................... The Division of Information, Robotics and Intelligent Systems (IRIS) in the Directorate for Computer and Information Science and Engineering (CISE) announces a special interest in supporting interdisciplinary research efforts in scientific databases. BACKGROUND Research on the design, development, management, and use of databases has traditionally focused on concepts and requirements critical to business-like environments. However, current database technology falls short of supporting the diverse needs of scientific applications. New advances in data storage/access technology, knowledge-based systems, and networked computing have brought about the promise to greatly increase the productivity in science and engineering research in this final decade of the 20th century. Scientific databases can be viewed as critical repositories of knowledge, both existing and yet to be discovered. Global change studies, astronomy, human genome mapping, biochemical engineering, tracking long-term social and economical phenomena are a few examples of research areas that generate and require access to extraordinarily large amounts of multi-media data forms: numbers, symbols, texts, images and others. Addressing the special characteristics and requirements of scientific databases will potentially further database technologies and enable a wide range of scientists and engineers to better utilize their data and other computing resources. The research needed to make progress in scientific databases must be drawn from specialists in many disciplines, including computer science and engineering, mathematical and physical, and social and behavioral sciences. Therefore, collaboration of computer and information sciences with other sciences is strongly encouraged. Depending on the content of the received proposals, joint consideration by the relevant scientific NSF programs outside CISE is planned. OBJECTIVES The objective of this announcement is to foster coupling between database technology and scientific research for the advancement of both. Specifically, the aim is to promote: 1. Stimulation of multi-disciplinary research in scientific databases that addresses significant, real requirements of an application domain. Understanding of the requirements should be derived through collaboration with the domain scientists. 2. Expansion of general database technology through addressing the generic requirements of the application domains. Methodologies and tools developed for scientific databases should be at a high conceptual level with an aim to enhance capabilities of the next generation of general information systems. 3. Enhancement of scientific infrastructure by making the databases, software, and other sharable resources produced under this initiative available to the research community. AREAS OF INTEREST Research is sought on methodologies and tools for the representation and manipulation of very large volumes of scientific data in highly distributed heterogeneous environments. In this context, research in three interrelated areas is encouraged: 1. Scientific Database Models and Systems. Theoretical foundations for the representation and manipulation of new data types (e.g., temporal, spatial and image data, spectrum data, design data, sequences, graphs, user-defined objects with inheritance and encapsulation, or declarative extensions); metadata management; data/knowledge calibration and validation; and uncertainty handling. System issues include system extensibility; rapid prototyping support; development of user-transparent, multi-level storage management (main memory through tertiary storage); long/parallel/concurrent transaction processing; archiving; and version control. Research in this area must consider the special data characteristics associated with a scientific discipline. 2. Knowledge Discovery in Scientific Databases. Innovative methods, techniques and tools that provide seamless integration between database management and scientific analytic tools. Topics span computing environment transparency; event finding, data examination, selection, analysis and manipulation of temporally or spatially related data; data analysis algorithms; scientific visualization; parallel model execution and cross-validation on large volumes of data; automated knowledge acquisition; incorporation of new knowledge into the system; and audit trail provisions. 3. Resource Sharing Environments. Improvement of data access and resource sharing in distributed, networked environments to support collaboration among scientists. Research in interoperability is critical to browsing, resource (data or tools) location, access, and joint processing on systems ranging from personal workstations to supercomputers. Topics include heterogeneous database systems management; effective methods for transport, combination and manipulation of data subsets; development of domain-specific and interdisciplinary lexicons and directories for databases and software; assessment of the data relevance and quality; and evolutionary establishment of self-describing, extensible standards for data exchange. The topics listed above are not intended to represent the complete set of issues comprising the areas; they are suggestive rather than limiting. Other relevant information may be found in three NSF workshop reports, "Scientific Data Management" and "Database Systems: Achievements and Opportunities", and "Heterogeneous Databases Systems", published in SIGMOD Record, Vol. 19, No. 4, December 1990, and in the report by the Committee on Physical, Mathematical, and Engineering Sciences, "Grand Challenges: High Performance Computing and Communications", The FY 1992 U.S. Research and Development Program, To Supplement the President's Fiscal Year 1992 Budget (available by calling National Science Foundation, Division of Advanced Scientific Computing, 202-357-7727). SCOPE AND SCALE OF SUPPORT The size of awards is anticipated to range from the usual individual investigator awards of $60,000 per year for 2 years to funds of up to $300,000 per year, for up to 3 years, for research teams with 3 - 5 principal investigators. Collaborative research is encouraged. Institutional cost-sharing is required per NSF Grant Policy Manual, Section 640. Addional institutional or industrial cost-sharing is encouraged, but will not be used as a proposal evaluation factor. PREPARATION AND SUBMISSION OF PROPOSALS Proposals should refer to "Research on Scientific Databases", and be prepared in accordance with the guidelines contained in Grants for Research and Education in Science and Engineering (NSF 90-77, August 1990), available from NSF, Attn: Forms and Publications, Rm. 232, 1800 G St., N.W., Washington, D.C. 20550, or electronically from <pubs@note.nsf.gov>. For this announcement, the following additional proposal and budget preparation guidelines should be adhered to: * The main body must describe the issues the project addresses, previous work upon which the proposed research is built, the theory, methodology and data, and the detailed research plan. * A section describing expected results and a detailed plan for evaluating actual results of this research must be provided. * Plans for making the databases, software, and other sharable resources produced in this project available to the research community should bepresented. Collaborative research projects involving more than one institution can be submitted either as a single proposal from the primary institution, or as coordinated proposals individually submitted by the collaborating institutions. In the former case, the other collaborating institution(s) is/are included in the proposal budget as a sub-contract, consultant fee, or other suitable means. In the latter case, inter-institutional collaborative research proposals must contain the same material for all institutions and should observe the following guidelines: (1) the first page of the proposal should clearly indicate the project title, the submitting institutions, and the principal investigators involved, (2) the proposal body contains a section describing the nature and benefits of inter-institutional collaboration, and the project management, (3) bibliographic material for all principal investigators is included, (4) budgets for all institutions are included with a summary sheet for all institutions showing the total amount requested for the project. The Cover Sheet (NSF Form 1207) and Information about Principal Investigators (NSF Form 1225) should be prepared separately by each collaborating institution reflecting their component of the collaborative proposal. To facilitate coordination of inter-institutional collaborative research proposals, principal investigators are encouraged to alert the program director listed below under INQUIRIES about the forthcoming related proposals. Ten (10) copies (total for the inter-institutional projects) of the proposal should be submitted to: National Science Foundation Proposal Processing Unit -- Room 223 1800 G Street, N.W. Washington, D.C. 20550 ATTN: SCIENTIFIC DATABASES ANNOUNCEMENT IRIS / DBES One information copy should be sent to the program director listed below under INQUIRIES. WHO MAY APPLY Universities and colleges or nonprofit, nonacademic institutions may submit proposals under this competition. Participation and cost sharing by industrial partners through an academic or other not-for-profit organization is encouraged. PROPOSAL SCHEDULE AND EVALUATION In order to be considered under this announcement, proposals must be postmarked no later than May 15, 1991. Awards are planned for the Fall 1991. Proposals will be evaluated by a panel composed of experts from database and relevant scientific disciplines and may be sent for mail review as well. The evaluation of proposals will be conducted in accordance with the procedures and criteria described in NSF 90-77. Satisfaction of this announcement's OBJECTIVES constitutes additional review criteria. DISSEMINATION OF RESULTS In order to maximize knowledge transfer, results from the funded projects under this initiative, including successes, lessons learned, and future research directions are to be widely disseminated to both the database community and the application domain community. Reporting will be done at appropriate workshops at the end of significant phases, and through published articles in widely accessible journals after the completion of the project. INQUIRIES Inquiries about this research initative announcement are welcome and may be directed to: Dr. Maria Zemankova Program Director, Database and Expert Systems IRIS -- Room 310 National Science Foundation 1800 G Street, N.W. Washington, D.C. 20550 Telephone: 202-357-9570 Fax: 202-357-0320 Email: mzemanko@note.nsf.gov ................................................................. The National Science Foundation (NSF) provides awards for research in the sciences and engineering. The awardee is wholly responsible for the conduct of such research and preparation of the results for publication. The Foundation, therefore, does not assume responsibility for such findings or their interpretation. The Foundation welcomes proposals on behalf of all qualified scientists and engineers, and strongly encourages women, minorities, and persons with disabilities to compete fully in any of the research and research-related programs described in this document. In accordance with Federal statutes and regulations and NSF policies, no person on grounds of race, color, age, sex, national origin, or disability shall be excluded from participation in, denied the benefits of, or be subjected to discrimination under any program or activity receiving financial assistance from the National Science Foundation. Facilitation Awards for Handicapped Scientists and Engineers (FAH) provide funding for special assistance or equipment to enable persons with disabilities (investigators and other staff, including student research assistants) to work on an NSF project. See the FAH program announcement (NSF Publication 84-62, rev. 5/87), or contact the FAH Coordinator in the Directorate for Education and Human Resources. The telephone number is (202) 357-7456. The Foundation has TDD (Telephonic Device for the Deaf) capability, which enables individuals with hearing impairment to communicate with the Division of Personnel and Management about NSF programs, employment, or general information. The telephone number is (202) 357-7492. This program is described in the Catalog of Federal Domestic Assistance category 47.070. PRIVACY ACT AND PUBLIC BURDEN The information requested on the application materials is solicited under the authority of the National Science Foundation Act of 1950, as amended. It will be used and disclosed in connection with the selection of qualified proposals. See NSF-50, "System of Records," 55 Federal Register 12073 (March 30, 1990). Submission of the requested information is voluntary. Failure to provide full and complete information, however, may reduce the possibility of your receiving an award. Public burden for this collection of information is estimated to average 120 hours per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to: Reports Clearance Officer Division of Personnel and Management National Science Foundation Washington, DC 20550 and to: Office of Management and Budget Paperwork Reduction Project (3145-0058) Washington, DC 20503 ................................................................. OMB: 3145-0058 PT: 34 RESEARCH ON KW: 071020, 0403007 SCIENTIFIC DATABASES NSF 91-18