The Future Labs Evolution SteerCo would like to launch a new workstream under the initiative titled “Peer-Reviewed Publication on Standardizing Lab Data for AI.”

Workshop Goal: 

Pistoia Alliance is planning to publish a peer reviewed open access journal on scientific data acquisition, handling, and the usage of cutting-edge developments in Lab-IT including AI and ML. The goal of this workshop is to capture key inputs from participants and set the foundation for the journal’s scope, structure, and development roadmap.

Additional info:

Technology in academic and industrial research changes rapidly, resulting in risks as well as opportunities. AI for example provides such new opportunities, but as a prerequisite, scientific data needs to be properly acquired, collected, contextualized, and structured. In comparison to other industrial branches, normalization, and standardization of data from scientific laboratory equipment is lagging far behind.

To close the gap and to give orientation on recent developments in scientific data management, Pistoia Alliance’s new journal will feature all topics needed to develop a data infrastructure capable of handling all lab-data from various instruments and software. Independent from vendors and manufacturers.

Moderator: Arne Kusserow, Senior Business Analyst R&D Informatics, Merck Healthcare KGaA

This workshop, hosted on July 8, 2025, explores the development of an open-source instrument data parser library to address data format fragmentation in life sciences, aiming to improve data interoperability, reduce redundant effort, and accelerate scientific discovery through scalable, plug-and-play analytics.

This workshop brings together instrument vendors to provide feedback on a proposed Instrument & Data Standards Questionnaire—aimed at streamlining data compatibility, improving procurement efficiency, and fostering stronger collaboration between pharma and instrument suppliers.