Interoperable verification and dissemination of software assets in repositories using COAR Notify

TL;DR

This paper presents a workflow that uses machine learning and the COAR Notify Protocol to improve the discoverability, attribution, and dissemination of research software across repositories, aligning with FAIR principles.

Contribution

It introduces an integrated workflow combining machine learning, repository systems, and COAR Notify for interoperable software dissemination and validation.

Findings

Enhanced software discoverability and attribution.

Automated communication among repositories and authors.

Improved visibility of research software as bibliographic records.

Abstract

The discoverability, attribution, and reusability of open research software are often hindered by its obscurity within academic manuscripts. To address this, the SoFAIR project (2024-2025) introduces a comprehensive workflow leveraging machine learning tools for extracting software mentions from research papers. The project integrates repository systems, authors, and services like HAL and Software Heritage to ensure proper archiving, citation, and accessibility of research software in alignment with FAIR principles. To enable interoperable communication across the various systems we present an integration of the COAR Notify Protocol, which facilitates automated, interoperable communication among repositories and authors to validate and disseminate software mentions. This paper outlines the SoFAIR workflow and the implementation of the COAR Notify Protocol, emphasising its potential to enhance the visibility and credibility of research software as first-class bibliographic records.