Anatomy of research data for robust bibliometric analysis using mega datasets and AI assistance

Reliable insights start with reliable data. Bibliometric analysis depends on data that is structured, comprehensive and well indexed. But what is structured and comprehensive data in the context of bibliometrics? Do all sources of bibliometric data measure up when we dissect the anatomy of bibliographic data? In our presentation we will discuss the importance of solid foundations for bibliometric analysis and the evolution of multiformat data collections which can be interrogated by AI to provide evidence-based insights beyond academic citations.

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Publication Details

Journal
Figshare
Published
2026-11-04
DOI
https://doi.org/10.6084/m9.figshare.34807260
Primary Topic
scientometrics and bibliometrics research
Type
article
Field-Weighted Citation Impact
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article

Anatomy of research data for robust bibliometric analysis using mega datasets and AI assistance

Sébastien Vellay, Rachel Mangan
Figshare
scientometrics and bibliometrics research
article

Anatomy of research data for robust bibliometric analysis using mega datasets and AI assistance

Sébastien Vellay, Rachel Mangan
article en

Abstract

Reliable insights start with reliable data. Bibliometric analysis depends on data that is structured, comprehensive and well indexed. But what is structured and comprehensive data in the context of bibliometrics? Do all sources of bibliometric data measure up when we dissect the anatomy of bibliographic data? In our presentation we will discuss the importance of solid foundations for bibliometric analysis and the evolution of multiformat data collections which can be interrogated by AI to provide evidence-based insights beyond academic citations.

Figshare
Openalex Percentile: Top 13%
scientometrics and bibliometrics research
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Anatomy of research data for robust bibliometric analysis using mega datasets and AI assistance — Sébastien Vellay, Rachel Mangan · Figshare (2026) | TGRS Research Map | TGRS