WORKSHOP ON SCIENTIFIC DATA MANAGEMENT PROBLEMS AND SOLUTIONS
	20-22 October 1998
Agenda     Attendees
Lodging    Travel and Site Access	Stanford Linear Accelerator Center 2575 Sand Hill Road Menlo Park, CA 94025

Purpose and Audience

The purpose of this workshop is to bring together scientsts with large scale (petabytes) or high-complexity data management problems and also to encourage interaction with computer scientists working on these problems.

We expect problems and solutions will arise from a variety of fields, for example, computing science, Climatology, combustion, high-energy and nuclear physics, biology and genetics, fusion, materials science and chemistry, and welcome wider participation. Please distribute this announcement to others working on problems of scientific data management.

The workshop will be held at SLAC.

Goals

1. Present the current state of the art(s) (both implementations and computing science);
2. Present and compare the differing current and future needs of each area of science;
3. Promote ad hoc collaborations based initially on existing funding; for example:

• scientists already using Object Database Management technology collaborate with scientists needing to try out an ODBMS for their application;

• scientists with massive future data management needs study detailed requirements and possible solutions together with computing scientists and with other scientists using large existing data management systems.

Background

The initiative for the workshop arose from a need to improve information exchange on data management issues between DoE-funded scientists.

DoE and other US agencies are proposing the Scientific Simulation Plan (SSP) to increase the visibility and funding for computing/simulation as the "Third Branch of Science".

The natural growth in the importance of data management in almost all fields will be massively accelerated by SSP. Preparation of SSP (e.g. a recent workshop on Computing Science and Enabling Technologies for SSP) has revealed a strong need to set up collaborations to make much more effective use of existing implementations of data management solutions and to bring computing scientists and developers into contact with "applications" scientists.

The workshop will focus on how best to use the existing intellectual resources in the near to medium term. Strategies and quantitative cost estimates for SSP data management are also required and are expected to be one of the outputs from collaborative studies initiated at the workshop.

Authors: Cathie Dager & Richard Mount
Owner: Ilse Vinson

Date last updated: 28 October 1998