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\begin{document}
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\begin{center}
{\bf Executive Summary: 
1998 NSF Information and Data Management: \\
Research Agenda for 
the 21st Century, March 29-31, 1998}
\end{center}
\normalsize
\begin{center}
\begin{tabular}[t]{c@{\extracolsep{8em}}c}
{\em Panos K. Chrysanthis} &   {\em Judith L. Klavans} \\
University of Pittsburgh&      Columbia Univerity\\
\end{tabular}\\
Edited by Panos K. Chrysanthis, Computer Science Dept., 
University of Pittsburgh
\end{center}

The Information Management, Information Retrieval(IR), Data
Management, and Database (DB) communities have made fundamental 
contributions to basic Computer Science research and have been
remarkably successful in technology development. 
Under the aegis of the Information and Data Management Program (IDM)
of the National Science Foundation\footnote{This workshop was
supported by the National Science Foundation, Information and Data
Management Program under the grants IIS-9812229 and IIS-9812230. All
opinions, findings, conclusions and recommendations in any material
resulting from this workshop are those of the workshop participants
and do not pnecessarily reflect the views of the National Science
Foundation.
Proceedings and the findings of the workshop along with other
background resources are made available on the Web (at URLs: {\tt
http://www.cs.pitt.edu/$\sim$panos/idm98} and \\ {\tt
http://www.cs.columbia.edu/$\sim$klavans/Activities/98-IDM-Workshop/home.html}).
}, over 150 researchers, 
% that includes all of us
federal officials, and invited industrial and academic
guests participated in a three-day workshop that
enabled the articulation of near- and long-term goals for the concerned
research communities.  Highlights of the workshop covered:
\begin{newitemize}

\item  {\bf National priorities and directions,  and evaluation 
and measurement
of success for research and technology.} Briefings by government
attendees, including Thomas Kalil (White House National Economic
Council), Juris Hartmanis (Assistant Director for the NSF Computer and
Information Sciences and Engineering Directorate), Michael Lesk
(Director of the NSF Information and Intelligent Systems Division) and
Les Gasser (Director of the NSF Computation and Social Systems
Program).

\item {\bf Collaborations between academic and industry across the
information retrieval and database research communities.}
Presentations by industry invitees, including Avi Silberschatz
(Lucent/Bell-Labs) and David Lewis (AT\&T Research)together with
the industrial/academic panel on {\em Achievements and Vision}.

\item {\bf Community-generated directions for the 21st century.}  
Discussions by six sub-groups on topics such as efficient
information access permitting users to find what they want when they want it;
improved presentation and visualization to permit experts and non-experts
alike to interact with complex data, including text, numerical, image and video
summarization systems;
coping with heterogenous distributed data in heterogeneous databases including
metadata management; 
technologies to support integration of structured and
unstructured data, including multilingual information management; and 
methods for evaluation, including the development of new resources,
tools, and methodologies.
\end{newitemize}

\noindent
Major challenges facing the Information
and Data Management communities include: 

\begin{newenumerate}

\item {\bf ``Omnipresent, omniscient data access''}
to enable an unprecedented number of new and important applications
such as e-commerce, distance learning and health care,
empowering tools for physically challenged people, and for new
scientific research methods.

\item {\bf The support and development of  research facilities} which
include both general purpose computing and network equipment and
systems and special purpose repositories providing access to data and
document sets, test collections and procedure depositories,
transaction and query traces, IR/DB tools, etc.  

\item {\bf The encouragement of academic-industry collaborations} to
facilitate effective technology transfer and to leverage NSF
investment in the research community, such as by the
establishment of national IR/DB research centers with industry
and government cost share.

\item {\bf The establishment of interdisciplinary research projects}
to permit maximum interaction between the IR and DB and other
related disciplines including other sciences, engineering medicine and the
humanities who are involved in building new data intensive
applications. 
\end{newenumerate}

\end{document}



