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Global and Plane Part 1
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Approach-and-landing Accident Reduction
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Controlled Flight Into Terrain
Continuing Airworthiness Risk Evaluation
Flight Operations Risk Assessment System
Flight Operational Quality Assurance
Ground Accident Prevention
Operators Guide to Human Factors in Aviation
Threat and Error Management
Global Aviation Information Network
Runway Safety Initiative
  Global Aviation Information Network (GAIN)
The Global Aviation Information Network (GAIN) originally was proposed by the U.S. Federal Aviation Administration (FAA) to learn about the potential individual links in an accident chain by bringing together diverse groups to collect and share information. Through a voluntary, privately-owned
and operated global network of data collection and exchange systems, government, industry, and labor cooperated to make the system safer. GAIN provides information on tools and processes to help safety decision-makers identify, promote, and support existing tools and processes.

With the ending in 2007 of FAA support for GAIN, the Flight Safety Foundation decided to continue to furnish the wide range of fine products developed by GAIN for the benefit of the world aviation community.

These documents are in Adobe® Portable Document Format (PDF) and require a copy of Adobe Reader® to view them. If you do not have a copy of Adobe Reader, you can download and install a free copy from http://www.adobe.com/products/acrobat/readstep2_allversions.html.

GAIN Products

Aviation Operator Safety Practices

Operator’s Flight Safety Handbook (English), Issue 2. 180 pages. [PDF 3.9M]

Operator’s Flight Safety Handbook (Spanish), Issue 2. 167 pages. [PDF 3.8M]

Operator’s Flight Safety Handbook (Chinese), Issue 2. 94 pages [PDF 1.2M]

Operator’s Flight Safety Handbook (Japanese), Issue 1. 87 pages. [PDF 2.5M]

Operator’s Flight Safety Handbook (Portuguese), Issue 1. 182 pages. [PDF 3.6M]

This handbook is intended to serve as a guide for the creation and operation of a flight safety function within an operator's organization. This handbook is focused on the impact of air operations safety considerations, while acknowledging the importance of the development of safety practices in all areas of the organization. The OFSH is NOT a regulatory-approved document and its contents do not supersede any requirements mandated by the State of Registry of the operator's aircraft.

Cabin Safety Compendium (English). 174 pages. [PDF 998K]

Cabin Safety Compendium (Spanish). 122 pages. [PDF 444K]

This document was developed as a companion to the Operator Flight Safety Handbook (OFSH), which was released in June 2000 as a product of the Aviation Operator Safety Practices Working Group of the GAIN Program. Like the OFSH, this Cabin Safety Compendium (CSC) is intended as a guide for operators to use in developing their own cabin safety program. The document has no regulatory or development standard intent; in fact, the CSC often contains alternative practices in use by operators throughout the world.

It is hoped that the OFSH and this CSC can assist operators in developing or improving a Cabin Safety Program tailored to the specific requirements of the organization. This document does not intend to present all acceptable methods of performing any particular function, but it does present samples of current practice.

The CSC is NOT a regulatory-approved document and its contents do not supersede any requirements mandated by the State of Registry of the operator's aircraft. Nor does it supersede or amend the manufacturer's type-specific airplane flight manuals, crew manuals, minimum equipment lists, or any other approved documentation. The CSC is provided for guidance purposes only.

Reports on the Application of Text and Data Mining Tools

Application of Insightful Corporation’s® Data Mining Algorithms to FOQA Data at JetBlue Airways. 53 pages [PDF 8.2M]

Data mining tools from Insightful Corporation were applied to JetBlue’s flight operations quality assurance (FOQA) digital flight data to provide guidance on tools which may be useful in enhancing the current analysis of airline digital fight data. The project found that a number of data mining techniques and associated graphical outputs show promise in increasing efficiencies in current FOQA analysis methods, improving data quality monitoring, and identifying “new” potential safety issues by looking across multiple attributes in the source data. December 2004.

Application of Provalis Research Corp.’s Statistical Content Analysis Text Mining to Airline Safety Reports. 45 pages. [PDF 3.7M]

This technology demonstration applied text mining routines by Provalis Research Corporation to text-intensive safety reports at JetBlue Airways. Flight safety staff at JetBlue Airways believe these analysis routines may be useful in enhancing the current analysis of airline safety reports. February 2005.

Application of Smiths Aerospace Data Mining Algorithms to British Airways 777 and 747 FDM Data. 66 pages. [PDF 3.3M]

A data mining tool produced by Smiths Aerospace specifically for aerospace applications was applied to two British Airways (BA) flight data monitoring databases, flight data events and flight data measurements. BA found that the analysis delivered useful and intriguing results, many of which were already known to BA and validated the tool, plus some “second level” results which had not been previously unearthed by existing analysis techniques. December 2004.

New Capabilities of PolyAnalyst Text and Data Mining Applied to STEADES Data at the International Air Transport Association (IATA). 41 pages. [PDF 956K]

This project examined how text mining techniques and methods can analyze flight safety reports to reveal patterns that may not be known or easily found. IATA analysts believe these capabilities may be useful in enhancing the analysis of airline safety reports on a global scale. October 2004.

Application of Megaputer’s PolyAnalyst to Flight Safety Data at Southwest Airlines. 35 pages. [PDF 1.7M]

This report describes a joint proof-of-concept project by Southwest Airlines and Megaputer Intelligence to facilitate and promote the use of automated data and text mining tools in the aviation safety community. January 2004.

Application of MITRE’s Aviation Safety Data Mining Workbench at American Airlines. 26 pages. [PDF 451K]

This report describes the application of the MITRE Corporation’s Aviation Safety Data Mining Workbench to American Airlines’ Aviation Safety Action Program (ASAP) data, to demonstrate the usefulness of data and text mining tools in the analysis of aviation safety data. January 2004.

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