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Accession Number:
ADA574509
Title:
Joint Space Operations Center (JSpOC) Mission System (JMS) Common Data Model: Foundation for Interoperable Data Sharing for Space Situational Awareness
Descriptive Note:
Conference paper
Corporate Author:
SPACE AND NAVAL WARFARE SYSTEMS CENTER PACIFIC SAN DIEGO CA
Report Date:
2012-09-01
Pagination or Media Count:
10.0
Abstract:
The space situational awareness SSA data we access and use through existing SSA systems is largely provided in formats which cannot be readily understood by other systems SSA or otherwise without translation. As a result while the data is useful for some known set of users, for other users it is not discoverable no way to know it is there, accessible if you did know, there is no way to electronically obtain the data or machine-understandable even if you did have access, the data exists in a format which cannot be readily ingested by your existing systems. Much of this existing data is unstructured, stored in nonstandard formats which feed legacy systems. Data terms are not always unique, and calculations performed using legacy functions plugged into a service-oriented backbone can produce inconsistent results. The promise of data which is interoperable across systems and applications depends on a common data model as an underlying foundation for sharing information on a machine-to-machine basis. Machine-to-Machine M2M interoperability is fundamental to performance, reducing or eliminating time-consuming translation and accelerating delivery to end users for final expert human analysis in support of mission fulfillment. A data model is common when it can be used by multiple programs and projects within a domain e.g., Command and Control C2 Space Situational Awareness SSA. AF Space CommandA5 AFSPCA5 directed the creation of the JMS Requirements Model starting with an evaluation of known requirements captured in the National Mission Threads as they applied to SSA. Over six years a conceptual model of data terms, definitions and relationships was created. The conceptual model was used to derive a logical model of data elements and attributes represented in Universal Markup Language UML.
Distribution Statement:
APPROVED FOR PUBLIC RELEASE
