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    • Understanding Human Error Based on Automated Analyses

    Metadata Updated: February 6, 2026

    This is a report on a continuing study of automated analyses of experiential textual reports to gain insight into the causal factors of human errors in aviation operations. The intent of this research is to better understand the quantitative and qualitative attributes of an aviation incident, and to identify the respective contributions of their interaction to incident occurrence.

    Access & Use Information

    Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

    Downloads & Resources

    Dates

    Metadata Created Date November 12, 2020
    Metadata Updated Date February 6, 2026
    Data Update Frequency irregular

    Metadata Source

    Harvested from NASA Data.json

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date November 12, 2020
    Metadata Updated Date February 6, 2026
    Publisher Dashlink
    Maintainer
    Identifier DASHLINK_186
    Data First Published 2010-09-22
    Data Last Modified 2025-03-31
    Public Access Level public
    Data Update Frequency irregular
    Bureau Code 026:00
    Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
    Harvest Object Id 8bb2d50e-6c56-4cb6-89ee-509591ebc198
    Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
    Harvest Source Title NASA Data.json
    Homepage URL https://c3.nasa.gov/dashlink/resources/186/
    Program Code 026:029
    Source Datajson Identifier True
    Source Hash db0413f28bbc977ce4a8ece4b32bdc71a81f029d9e9ed414478fe3a2e452b513
    Source Schema Version 1.1

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