Location

Howard Johnson Plaza-Hotel, Columbia/ Enterprise Rooms

Start Date

28-4-1994 2:00 PM

End Date

28-4-1994 5:00 PM

Description

The progress and direction of the computer industry have resulted in widespread use of dissimilar and incompatible mainframe data systems. Data collection from these multiple systems is a labor intensive task, hi the past, data collection has been restricted to the efforts of personnel specially trained on each system. Information is one of the most important resources an organization has. Any improvement in an organization's ability to access and manage that information provides a competitive advantage. This problem of data collection is compounded at NASA sites by multi-center and contractor operations. The Centralized Automated Data Retrieval System (CADRS) is designed to provide a common interface that would permit data access, query, and retrieval from multiple contractor and NASA systems. The methods developed for CADRS have a strong commercial potential in that they would be applicable for any industry that needs inter-department, inter-company, or inter-agency data communications. The widespread use of multi-system data networks, that combine older legacy systems with newer decentralized networks, has made data retrieval a critical problem for information dependent industries. Implementing the technology discussed in this paper would reduce operational expenses and improve data collection on these composite data systems.

Comments

Products

Session Chairman: Robert Stark, Director, Far West Regional Technology Transfer Center, Los Angeles, CA

Session Organizer: Rachel H. Webb, Lockheed Space Operations Company, Kennedy Space Center, FL

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Apr 28th, 2:00 PM Apr 28th, 5:00 PM

Paper Session III-B - Automated Mainframe Data Collection in a Network Environment

Howard Johnson Plaza-Hotel, Columbia/ Enterprise Rooms

The progress and direction of the computer industry have resulted in widespread use of dissimilar and incompatible mainframe data systems. Data collection from these multiple systems is a labor intensive task, hi the past, data collection has been restricted to the efforts of personnel specially trained on each system. Information is one of the most important resources an organization has. Any improvement in an organization's ability to access and manage that information provides a competitive advantage. This problem of data collection is compounded at NASA sites by multi-center and contractor operations. The Centralized Automated Data Retrieval System (CADRS) is designed to provide a common interface that would permit data access, query, and retrieval from multiple contractor and NASA systems. The methods developed for CADRS have a strong commercial potential in that they would be applicable for any industry that needs inter-department, inter-company, or inter-agency data communications. The widespread use of multi-system data networks, that combine older legacy systems with newer decentralized networks, has made data retrieval a critical problem for information dependent industries. Implementing the technology discussed in this paper would reduce operational expenses and improve data collection on these composite data systems.

 

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