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UID:pretalx-adass2026-ETDUGR@pretalx.adass.org
DTSTART;TZID=AWST:20261102T141500
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DESCRIPTION:The NASA Exoplanet Archive (NEA) is developing a suite of tools
  to speed up and streamline the process of getting data from published pap
 ers into ingestion-ready form. Manually locating relevant papers\, extract
 ing tabular and textual data\, and reformatting it to archive standards is
  a major bottleneck in keeping the archive current. We describe three comp
 lementary efforts underway to address this in different parts of our pipel
 ine\, two of which utilize the capabilities of modern LLMs.\n\nFirst\, we 
 have created a standardized template that authors can use to submit their 
 published data directly in our required ingestion format\, reducing the tr
 anslation burden on archive staff and ensuring parameter accuracy. Second\
 , we have built an AI tool that scans the weekly astronomical literature t
 o identify papers most likely to contain data of interest for NEA\, cuttin
 g down on manual literature triage. Third\, we are developing an AI tool t
 hat parses the text and tabular content of identified papers and converts 
 it into the structured format required for ingestion. Fourth\, we are writ
 ing tools to facilitate bulk ingest of large sets of curated data\, such a
 s GAIA DR4.\n\nTogether\, these tools aim to shorten the pipeline from pub
 lication to archive availability\, reduce manual effort\, and improve the 
 completeness and timeliness of the NEA holdings. We will present the basic
  design of each tool\, early results\, and lessons learned in applying AI 
 to a production data-curation workflow.
DTSTAMP:20261001T111330Z
LOCATION:Banquet Hall
SUMMARY:New Tools for Streamlining Data Ingestion at NASA Exoplanet Archive
  (NEA) - Meca Lynn
URL:https://pretalx.adass.org/adass2026/talk/ETDUGR/
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