Benchmarks for Natural Language Data Mining with LLMs
Chemical Exchange Format Committee
Clinical Trial Environmental Impact
CMC Process Ontology
Data FAIRy Bioassay Annotation
Digital Analytical Methods (with ASM)
IDMP Ontology
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Large Language Models in Life Sciences
LLM and NLP Use Case Database
MNMs for Repurposing Non Clinical In Vivo Data
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Toolkit
Full offline release package of the FAIR Business Value Framework v1.0: the calculator, the standalone visualisation, definitions for all 195 input parameters, six worked reference cases with expected results for validation, a README, dual licence, and a checksum manifest for integrity verification.
Interactive, offline calculator that quantifies the financial return of FAIR data practices.
Interactive sunburst visualisation of the FAIR Business Value Framework, mapping its four strategic value drivers, twelve business value areas, and thirty-eight underlying value items as a single explorable diagram.
A practical framework from the SML and RWE project for collecting and analyzing patient experience data from social media, supporting consistent, transparent and scalable social media listening.
EQIP standardizes how pharmaceutical companies assess lab instruments by centralizing key information—IT compatibility, integration, regulatory support, and data security—ensuring clearer requirements and stronger, more aligned vendor relationships.
The “Quick Start Learning Resources” guide from the UXLS UX for AI and AI for UX workstream offers a curated selection of materials to help UX professionals explore the intersection of user experience and artificial intelligence.
The calculator is free to use and makes use of carbon footprint methodology and data contained within the Clinical Trials Carbon Footprinting: Guidance Document. It uses a step-wise process to sum carbon from a number of separate activities (modules) associated with design, management and operation to estimate the overall carbon footprint (kgCO2e) of a trial.
The Pistoia Alliance DataFAIRy Bioassay Pilot is a collaborative project aiming to make bioassay information available in a FAIR format to increase the efficiency of bench scientists engaged in experiment planning and enable research that currently requires tedious expert literature review.
The IDMP Ontology provides a universal implementation of the IDMP product data model as a common language to effectively bridge the gap between people, processes, and systems. In this wiki you can find all relevant information to help you implement the IDMP Ontology in your organization.
This document presents the first version of the FAIR maturity matrix, an organisational maturity model of FAIR implementation.
Best Practices Guides
A FAIR toolkit/use case focused on best practices for the use of Artificial Intelligence and Machine Learning in Life Sciences research.
HELM (Hierarchical Editing Language for Macromolecules) enables the representation of a wide range of biomolecules whose size and complexity render existing small-molecule and sequence-based informatics methodologies impractical or unusable.