DATA QUALITY IMPROVEMENTS FOR FAA

The federal Aviation Administration (FAA), in efforts to implement the Safety Performance Analysis System (SPAS) has identified significant problems in the quality of the data which SPAS and FAA air safety professionals would use in defining the state of aviation safety in the United States. These findings were reinforced by the DOT Inspector General and General Accounting Office investigations into the FAA surveillance of air transportation operations. Sandia Laboratories, working with the FAA's Airport and Aircraft Safety Research and Development Division and the Flight Standards Service, has been involved in four prorams to assist FAA in addressing their data quality problems. The Sandia approach has been data driven rather than technology driven. In other words, the focus has been on first establishing the data requirements by analyzing the FAA's surveillance and decision making process. This process analysis looked at both the data requirements and the methods used to gather the data in order to address both the conformance and utility problems inherent in existing FAA data systems. This paper discusses Sandia's data quality programs and their potential improvements to the safety analysis processes and surveillance programs of the FAA.

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• Record URL:
  • https://rosap.ntl.bts.gov/view/dot/4920
• Corporate Authors:

  Federal Aviation Administration

  800 Independence Avenue, SW
  Washington, DC  United States  20591

  Department of Energy

  1000 Independence Avenue, SW
  Washington, DC  United States  20585
• Authors:
  • PERRY, R
  • Mariman, K
  • Olson, D
  • Werner, P
• Conference:
  • International Society of Air Safety Investigators Annual Conference
  • Date: 1997-0-0 to 1997-0-0
• Publication Date: 1997-9-30

Language

• English

Media Info

• Pagination: 16p

Subject/Index Terms

• TRT Terms: Air transportation; Aviation safety; Data communications; Decision making; Performance evaluations; Quality control; Surveillance; Validity
• Subject Areas: Aviation; Safety and Human Factors;

Filing Info

• Accession Number: 00759630
• Record Type: Publication
• Report/Paper Numbers: SAND-97-2336C, CONF-97091, 02
• Files: NTL, TRIS, USDOT
• Created Date: Feb 28 1999 12:00AM