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OMB Individually Reported

CDER Publications

Low riskExact public inventory row

Description

Inefficient manual curation and categorization of publications by CDER authors. It aims to automate the process of organizing publications by focus areas for data call responses and identifying regulatory publications, replacing time-consuming manual review processes.

Detailed example

Accuracy of AI/ML data curation of publications feed, ability to categorize publications as regulatory or not regulatory, and ability to classify publications

AI / analytics pattern

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

Automation level / stage

c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.

Expected benefit

CDER Pubs is needed for the Science and Research Investments Tracking Archive (SARITA) for reporting of outcomes and to support the prioritization, management, and review of the quality and impact of CDER's science and research investments, helping ensure public accountability for research activities.

Controls / human review

ATO: Yes; PIA: Not published

Data needed

CDER staff research citations from PubMed

Source

OMB 2025 Federal Agency AI Use Case Inventory

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