EEG-DaSh: an open data, tool, and compute resource. a Python library and catalog for 700+ BIDS-first EEG, MEG, fNIRS, EMG, and iEEG datasets, ML-ready via PyTorch
-
Updated
Jun 12, 2026 - Python
EEG-DaSh: an open data, tool, and compute resource. a Python library and catalog for 700+ BIDS-first EEG, MEG, fNIRS, EMG, and iEEG datasets, ML-ready via PyTorch
a tool for mapping free-text descriptions of entities to ontology terms
Supporting a FAIR Research Data lifecycle using Python and HDF5.
Website of our Carpentries-based workshop from July 2018 (former contact: @katrinleinweber)
Python code that can be used to gather and organize metadata from research data repositories about the research datasets published by affilitates of a particular institution.
☑️ A library to build and deploy FAIR metrics tests APIs that can be used by FAIR evaluation services supporting the FAIRMetrics specifications, such as FAIR enough and the FAIR evaluator.
Automated tool to detect metadata quality pitfalls in software repositories (Python, Java, C++, etc.). Analyzes SoMEF output files for version mismatches, license issues, broken URLs, and more.
to visualize data streams and learn about FAIR principles. Features Data Stream Plot: View a real-time plot of a generated data stream. FAIR Principles: Learn about FAIR principles, which promote Findability, Accessibility, Interoperability, and Reusability of data.
A service to enhance the usability of SPARC by converting datasets into neurodata without borders and facilitating hypothesis-driven studies by providing preliminary analyses.
Ontology for modeling FAIR assessments, sub‑principle results, scoring functions, and evidence using PROV‑O and FAIR Vocabulary.
Variant of swcarpentry/r-novice-inflammation for "FAIR Data an Software" workshops (contact: @katrinleinweber)
A simple Python script to generate rich metadata descriptions of datasets in JSON-LD using Schema.org vocabulary
Code and data for the experiments reported in the research article "Towards Automated FAIR Compliance Diagnosis: Evaluating LLMs on Explanation and Diagnosis Questions" accepted at QKG@ESWC 2026.
Fair Data Assessment Using LLMs
Python functions to convert calcium imaging data and associated intracellular electrophysiology data to Neurodata Without Borders (NWB) file format
Repository accompanying the task given for the Data Steward position interview
Reproducible MEDAI deferral simulation (AIRI 2026). Synthetic research code.
💐 A library to describe workflow written in python using semantic technologies.
Add a description, image, and links to the fair-principles topic page so that developers can more easily learn about it.
To associate your repository with the fair-principles topic, visit your repo's landing page and select "manage topics."