Structure your data in a FAIR way using google sheets or TSVs. These are then converted to LinkML, and from there other formats
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Updated
Mar 25, 2024 - Python
Structure your data in a FAIR way using google sheets or TSVs. These are then converted to LinkML, and from there other formats
National Microbiome Data Collaborative (NMDC) unified data model
Provide machine-readable descriptions of your data assets
Python client for searching, publishing and modifying nanopublications.
Python client for the Earthchem REST and OGC APIs
Visualize cancer genomes with FAIR single-cell RNA-seq data
Website of our Carpentries-based workshop from July 2018 (former contact: @katrinleinweber)
A logical, standardized, but flexible project structure for sharing AI and data science work following FAIR principles.
☑️ 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.
Extract linked metadata from repositories
☑️ API to publish FAIR metrics tests written in python
A metadata schema for the Minimum Information about Intermicrobial Interaction Data (MIIID) using LinkML
Conceptual Framework and Documentation Standards of Cystoscopic Media Content for Artificial Intelligence based on FAIR principles.
A way to locally manage data in a FAIR way
Personal health data for Stuart J. Chalk
damast: A Python library to facilitate the creation of reproducible data processing pipelines and usage of FAIR data
Generate a summary of metadata annotations in the BioModels database
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