Evaluating Query Generation Strategies for Knowledge Graphs Using LLMs
2025 Pistoia Alliance London conference presentation, Dan Rozelle, VP of Data Analytics, Rancho Biosciences
2025 Pistoia Alliance London conference presentation, Dan Rozelle, VP of Data Analytics, Rancho Biosciences
2025 Pistoia Alliance London conference presentation by Mark Sheehan, VP Data Science, Elsevier
At Boehringer Ingelheim, knowledge is distributed in heterogeneous data sources e.g., PDF documents, structured databases or Excel files. To overcome this state of data scattered across multiple silos, achieving a single source of truth, which enables Boehringer Ingelheim to answer complex, specific questions, is game-changing, time-saving and valuable for our business.
The FAIR Maturity Matrix (FAIRMM) is a descriptive (self-)assessment instrument for Leadership and Communities of FAIR data practitioners evolving in the life-sciences. It provides a frame for actionable conversations, aligning stakeholders towards shared FAIR implementation goals.
To create value and guide strategic decision-making in lifescience organisations, data needs to be Findable, Accessible, Interoperable and Reusable (FAIR) both by humans and machines. The Pistoia Alliance FAIR –for-Pharma Community of Experts to enables the implementation of FAIR data principles in the life sciences. We have two working groups: FAIR for Business and FAIR Good practices & Thought Leadership.
This project aims to build a vendor-agnostic, production-ready ontology for Pharmaceutical CMC (Chemistry, Manufacturing, and Control) processes supporting today’s data science and exchange needs
This document is a deliverable of the Pharma General Ontology (PGO) project. Its purpose is to
provide examples of high-level use cases for Pharma General Ontology project outputs. Namely:
who are the stakeholders, or personas, that are expected to use PGO? Which challenges does
PGO address? What are the benefits? Contents of this document may be used by project
members to disseminate use case scenarios foreseen for PGO, for example at conferences
Pharma General Ontology poster for the 2025 Pistoia Alliance conference – High level introduction and 2 use cases
This project aims to convert the biological assay protocols contained in research publications into a machine-readable FAIR format.
February IDMP Ontology webinar meeting where we discuss important achievements of our IDMP-O project such as accomplishments of IDMP-O in 2024, Demo of the EMA PMS Data Alignment Proof of Concept and updates on the CMC Batch Tracking, Site and Product Data Proof of Concept, and outlook for 2025.
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.
Join us for another IDMP Ontology webinar where we discuss important achievements of our IDMP-O project such as industry IDMP-O survey key findings, updates on the EMA PMS Data Alignment Proof of Concept and the CMC Batch Tracking, Site, and Product Data Proof of Concept. These sessions are designed to improve data alignment and interoperability across the pharmaceutical industry.