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OMB Individually Reported

Using Natural Language Processing to Help Automate the Standardization of PI Variable Names from ICARTT Files

Low riskExact public inventory row

Description

Variables names of data collected from suborbital missions need mapping to the corresponding standard variable names for consistency in labelling the available science data, enhancing data discovery for further research; ASDC (Atmospheric Science Data Center) is developing an AI/ML based workflow for the assignment of these standard variable names based on Natural Language Processing (NLP).

Detailed example

mapping to the corresponding standard variable names

AI / analytics pattern

Natural Language Processing: AI that processes, interprets, and shares information in human language.

Automation level / stage

a) Pre-deployment – The use case is in a development or acquisition status.

Expected benefit

Variables names of data collected from suborbital missions need mapping to the corresponding standard variable names for consistency in labelling the available science data, enhancing data discovery for further research; ASDC (Atmospheric Science Data Center) is developing an AI/ML based workflow for the assignment of these standard variable names based on Natural Language Processing (NLP).

Controls / human review

ATO: Not reported; PIA: Not published

Source

OMB 2025 Federal Agency AI Use Case Inventory

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