SemRepo: A Knowledge Graph for Research Software and Its Scholarly Ecosystem

TL;DR

SemRepo is a comprehensive RDF knowledge graph linking research software repositories with scholarly data, enabling integrated analysis of research artifacts, authors, and publications to support reproducibility and sustainability.

Contribution

It introduces SemRepo, a large-scale knowledge graph that unifies research software, scholarly profiles, and publications for advanced analysis.

Findings

Over 81 million triples describing 200,000 GitHub repositories

Links repositories to scholarly profiles, publications, and artifacts

Enables complex queries across research software and scholarly data

Abstract

We present SemRepo, an RDF knowledge graph comprising over 81 million triples describing nearly 200,000 GitHub repositories associated with scientific research. SemRepo captures repository-level metadata, such as contributors, issues, and programming languages, and interlinks this information with external scholarly knowledge graphs. In particular, repository authors are linked to their profiles in SemOpenAlex, repositories are connected to scholarly publications in LPWC, and research artifacts, such as datasets and experiments, are linked via MLSea-KG. This integration enables queries that span publications and their scholarly artifacts, which are typically fragmented across separate platforms. SemRepo supports analyses that are difficult to perform with existing resources in isolation, including provenance reconstruction across repositories and publications, as well as the systematic identification of risks to research reproducibility and software sustainability. By unifying research software with its scholarly context in a single graph, SemRepo provides an important infrastructure for large-scale analysis of software within the broader scientific research ecosystem.