AI Curation Methods for NASA Scientific Data

The AI for Curation project aims to integrate advanced LLM models into various aspects of our data curation workflow, enhancing the efficiency and accuracy from submission to user interaction. This initiative will impact multiple touchpoints, including data ingestion, curation processes, and user engagement with our curated datasets, affecting various centers, domains, and a broad user base.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-02
DOI
https://doi.org/10.5281/zenodo.14262767
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
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article

AI Curation Methods for NASA Scientific Data

Zenodo (CERN European Organization for Nuclear Research)
Scientific Computing and Data Management
article

AI Curation Methods for NASA Scientific Data

article en

Abstract

The AI for Curation project aims to integrate advanced LLM models into various aspects of our data curation workflow, enhancing the efficiency and accuracy from submission to user interaction. This initiative will impact multiple touchpoints, including data ingestion, curation processes, and user engagement with our curated datasets, affecting various centers, domains, and a broad user base.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 25%
Scientific Computing and Data Management
DOIOpen Access PDFOpenAlex
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AI Curation Methods for NASA Scientific Data · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS