Dataset Provenance Across Paper Graphs: Linking Results, Repositories and Reuse
We trace dataset reuse across scholarly graphs to improve auditability, discovery and replication planning.
Researcher profile
Links papers, repositories and datasets with reproducible provenance infrastructure.
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Inspect adjacent work, topics, institutions and collaborators without jumping out to a separate graph page.
Research Software Engineer
Published work
We trace dataset reuse across scholarly graphs to improve auditability, discovery and replication planning.
We align code repositories, datasets and papers with provenance-aware linking that survives version churn and renamed assets.
We extract actionable collaboration intent from follows, saves, reviews and topic overlap without collapsing trust into a single opaque metric.