Understanding Human Error Based on Automated Analyses

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.

Data and Resources

Additional Info

Field Value
Maintainer Ashok Srivastava
Last Updated March 31, 2025, 12:25 (UTC)
Created March 31, 2025, 12:25 (UTC)
accessLevel public
accrualPeriodicity irregular
bureauCode {026:00}
catalog_@context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
catalog_@id https://data.nasa.gov/data.json
catalog_conformsTo 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 1e664d00-6019-4a78-9737-9d90f1c1f3da
harvest_source_id 61638e72-b36c-4866-9d28-551a3062f158
harvest_source_title DNG Legacy Data
identifier DASHLINK_186
issued 2010-09-22
landingPage https://c3.nasa.gov/dashlink/resources/186/
modified 2020-01-29
programCode {026:029}
publisher Dashlink
resource-type Dataset
source_datajson_identifier true
source_hash 64bd33b3dc18881212b252df957fd1dcb02b1c3a59337c86e899b323aad3fae4
source_schema_version 1.1