Tuesday, 16 January 2007: 9:00 AM
NOAA's integrated observations and data management analysis tools
214C (Henry B. Gonzalez Convention Center)
Analysis tools for enterprise architecture have been developed for specific purposes in recent years and are now used to identify gaps between existing capabilities and functional requirements. The National Oceanic and Atmospheric Administration's Office of Systems Development (OSD) and its office of Integrated Observations and Data Management areis developing analysis tools to support the analysis and acquisition of architectures for integrated observations and data management. One of those tools is the “CasaNOSA Analysis Tool” (CAS), a desktop software tool that retrieves and matches observing requirements and capabilities, and uses a variety of algorithms to measure the degree of fit or performance between systems and requirements at the attribute level. This tool pulls data from the database of NOAA observing and data management requirements and capabilities OSD has compiled over the last three years.generate comprehensive sets of information derived from their central database. NOAA's operational and science-oriented programs have more than 's mission includes more than 800 mission-critical observing requirements. NOAA operates over 80 different land, sea, and space-based observing systems, and also obtains data from a wide range of public and private sector sources. NOAA's observing requirements and capabilities are further defined in terms of key attributes, such as geographic coverage, horizontal or vertical resolution, measurement accuracy, and re-visit frequency. supports measurements of approximately 2700 environmental parameters from 21 programs.The NOAA database of requirements and capabilities This information reresides in an one central –open source-web based-repository system and is managed through a suite of collaborative tools. One of those tools is the “CasaNOSA Analysis Tool” (CAS), a desktop software tool Results from these CAS gap analyses will be used intended to connect to a wide variety and potentially disparate set of data sources, retrieve data, and set up that data in a context in which it can be related, integrated, and ultimately used for investment portfolio analysis, decision support, statistical analysis, and enterprise architecture modeling. It is our intention to fully test the capabilities of the tool and assess its performance within NOAA first and potentially extend it to include analysis of other Federal agencies' observing requirements other Federal agencies that NOAA systems contribute to satisfying. trough targeted data mining exercises.