Follow-up online Q&A session to the Pistoia Alliance/Cognizant in-person workshop on the Global Substance Registration System (GSRS) implementation at GSK.
Resource Tag: Delivering Data Driven Value
The Pistoia Alliance’s Methods Database Project
The Pistoia Alliance has successfully completed a pilot on the digital transfer of analytical High-Performance Liquid Chromatography (HPLC) methods and results between chromatography data systems (CDS) via a central data storage system using a standardized machine-readable data format, which transforms methods from paper documents to digital instructions.
Navigating the New IDMP Era: Data Quality, Ontologies, and AI-Powered Compliance
With the EMA’s Product Master Data Service live since 2024, ISO IDMP conformance is no longer looming at the horizon but an urgent regulatory imperative. Yet aligning complex medicinal product data to IDMP standards remains a major challenge for many Marketing Authorization Holders (MAHs).
Join experts from ACCURIDS and MAIN5 to discover a proven, data quality-driven method to assess and boost IDMP conformance using the IDMP Ontology. Learn how to automate maturity assessments, resolve common data issues, and rapidly build high-quality IDMP knowledge graphs. We’ll explore how AI supports intelligent data alignment across substances, products, and terminologies, and provide concrete examples of conformance measurement and remediation. This webinar is your practical guide to turning regulatory requirements into achievable data quality objectives — and ensuring your organization is ready for IDMP 2025 and beyond.
Agenda
- Overview of latest IDMP timelines and actions for MAHs
- Summary of pharma challenges in medicinal product data management
- Why product data conformance with ISO IDMP is a MUST-Have?
- Measure and increase IDMP data conformance with the IDMP Ontology and AI
- The investment case for data standardization with the IDMP Ontology
Speakers
- Raphael Sergent, ACCURIDS
- Michiel Stam, MAIN5
CDISC Biomedical Concepts in Practice
Pistoia Alliance 2025 London conference presentation by Peter Van Reusel, Chief Standards Officer, CDISC
Influence of Data Science Communities – People Centered Approach
Pistoia Alliance 2025 London conference presentation by Dr Vera Hazelwood, Director of Data Science Collaborative Programmes, Astrazeneca
Advancing Pharmaceutical Manufacturing
An Ontology to Standardized CMC Process and Enhanced Digital Tech Transfer
Pistoia Alliance 2025 London conference presentation by Nisha Bhudia, CMC Data Standards & Governance Expert, GSK
Enhancing Data Quality and Sample Tracking in Mega Clinical Trials
A FAIR and Metadata-Driven Approach
Pistoia Alliance 2025 London conference presentation by Balvinder Ding, CEO, Datavid
How to Create a Common Data Language
Pistoia Alliance 2025 London conference presentation by Markus Hartmann, Global Product Lead Data Semantics, Merck
From Interoperability to Automation
Where next for FAIR Data Standards in AstraZeneca?
Pistoia Alliance 2025 London conference presentation by Mathew Woodwark, Head of Data Standards, Astrazeneca
GSRS Key Takeaways from in-person meeting held March 2025, speakers from GSK
Insights gained from the Pistoia Alliance in-person GSRS workshop, in partnership with Cognizant, undertaken in March 20205.
Hear from our project experts Ian Mawer, Vasu Sampath, Veronica Glyn from GSK, and Raghu Sridharan from Cognizant discuss their journey with GSRS, your host Birthe Nielsen from Pistoia Alliance.
To discover more about how you become involved within the GSRS project, contact birthe.nielsen@pistoiaalliance.org.
MORD: A Self-Supervised Masked Graph Autoencoder
Leveraging Multiomic and Multi-Relational Gene Networks for Druggable Gene Discovery
Pistoia Alliance London 2025 conference poster by Queen Mary University of London
Identifying druggable genes is a critical step in drug discovery, enabling the development of targeted
therapies for complex diseases such as cancer. Traditional approaches often rely on single data sources
or predefined biological pathways, limiting their ability to capture the full spectrum of gene interactions
relevant to druggability. Advances in network-based machine learning offer a promising alternative by
integrating diverse biological signals to uncover novel therapeutic targets.
IDMP Ontology March 2025 Poster
IDMP is a set of ISO standards for the Identification of Medicinal Products to ensure consistent identification and exchange of medicinal product information. However, there’s a risk that varying implementations across companies and regions could reduce its effectiveness. This project unites the industry to develop a common ontology for standardized implementation.