fair4rs

Command line tool to analyze a GitHub or GitLab repository's compliance with the fair-software.eu recommendations

Implementation of the HERMES workflow

GitHub Action to analyze a GitHub repository’s compliance with the fair-software.eu recommendations.

Software Metadata Extraction and Curation Software (SMECS). A web application for extracting, importing, curating, and exporting research software metadata.

An extensible Java Framework for the implementation of multi-rate and multi-device medical event data stream processing.

Training materials and slides for courses on version control, clean code and documentation with practical examples and exercises in Python and R

A training course on the practical use of tests in research software.

This is the repository for the Code design lecture for the FAIR4RS program at the University of Sheffield

FAIR recreation of scientific research: reproduce papers and RO-Crates, reuse their methods on new data, record every run

This is a course on software documentation for researchers developed by the Research Software Engineering team and IT Services at the University of Sheffield.

BathySurrogate: An Open-Source, Chart-Conditioned Geospatial Surrogate Framework for Coastal Bathymetry via Multi-Source Data Fusion and Spatial Validation.

Self-contained scaffold for FORRT replication studies — paper PDF in, Zenodo-archived release + Science Live nanopublication chain out. AI-guided via CLAUDE.md / AGENTS.md.

This training is part of the FAIR4RS training program at the University of Sheffield

Argo software development guidelines

Test to make repo FAIR.

Write a Software Management Plan as a machine-readable smp.json and check what it promises against the repository itself.

Carpentries lesson for FAIR4RS component, software repos, DOIs, metadata, citation at TUoS

PRIMA generates verifiable digital evidence: a canonical manifest, a timestamp proof anchored in the Bitcoin blockchain (via OpenTimestamps), and an independently verifiable certificate. FAIR4RS software: public JSON Schema, JSON-LD metadata, OpenAPI spec, and a Model Context Protocol (MCP) server for LLM agents.

Building-level climate risk (vulnerability x exposure x hazard): hazard-agnostic core, pluvial flood module (Vogelbacher et al. 2026, NHESS)

PRISMA-AI: Automated PRISMA 2020 adherence checking using large language models