Stars
Convert scientific posters (PDF/images) to structured JSON metadata using Large Language Models.
A free, open-source platform for sharing and discovering scientific posters with AI-powered metadata extraction.
DMP Chef is an open-source (MIT License), Python-based pipeline that draft funder-compliant Data Management & Sharing Plan (DMPs) using a Large Language Model (LLM)
Generate alt text descriptions for images
Open Graph Image Generation service for FAIR Data Innovations Hub applications
SOftware Metadata Extraction Framework: A tool for automatically extracting relevant software information from code repositories (using README files, package metadata, etc.)
Jupyter notebooks that provide example Python code snippets for working with the AI-READI data
FAIRsFAIR Research Data Object Assessment Service
Croissant is a high-level format for machine learning datasets that brings together four rich layers.
A Nuxt 4 starter template with Prisma v7, Tailwind v4 and Eslint support. Used to scaffold projects at the FAIR Data Innovations Hub
Advanced Privacy-Preserving Federated Learning framework
The Tripal package is a suite of Drupal modules for creating biological (genomic, genetic, breeding) websites. Visit the Tripal homepage at http://tripal.info for documentation, support, and other …
A JupyterLab plugin to facilitate invocation of code formatters.
Your coding assistant to make research software reusable without breaking a sweat!
Clinical Dataset Structure (CSD) specification
NWB GUIDE is a desktop app that provides a no-code user interface for converting neurophysiology data to NWB.
code and files for SPARC curation workflows
Python library to help with making data FAIR
A GitHub app that checks for DOI links in the README.md file of a repository and warns the user if no DOI is found.
A GitHub App that automates some of the tasks in the FAIR Data Innovations Hub GitHub organization
Best practices followed by the AI-READI project when developing code and software
Web platform for easily managing, curating, and sharing FAIR and AI-ready clinical and biomedical research data
Simplifying the curation and sharing of biomedical research data and software according to applicable FAIR guidelines
Data management framework for Python that provides functionality to describe, extract, validate, and transform tabular data