Skip to main content

Speakers

Keynote

Fordham University

Speakers

Rutherford Appleton Laboratory, STFC

Towards FAIR research data management

Advanced Light Source, LBL

MLExchange, bringing machine learning to the beamline

University of Chicago, Argonne National Lab

A FAIR Approach Towards Fully Realizing the Impact of AI and Machine Learning in Materials Science

St. Olaf College

Progress in the development of an IUPAC FAIR Data model for spectroscopic data.

BSSN Software

Data Exchange in the Laboratory of the Future

ETH Zürich

Managing research data with openBIS

NFDI4Chem, University of Jena (CN), TIB Leibniz (PS)

NFDI4Chem Terminology Service: Enabling semantic research data interoperability, discovery and exploitation in chemistry

Harvard Medical School

The Biopragmatics Stack: Biomedical Semantics for Humans

Berkeley Lab

LinkML: a developer-friendly semantic data modeling framework, with applications in the chemical sciences

Johns Hopkins University, MaRDA

Intersectional Interoperability and MaRDA

Lawrence Berkeley National Laboratory

Python Notebooks for X-ray Spectroscopy Simulation and Analysis

DTU, BIG-MAP

Leveraging digital tools to promote research standards

EPFL

The OPTIMADE REST API for Querying Materials Databases

Karlsruhe Institute of Technology, Helmholtz Institute Ulm

Laboratory APIs as the foundation for autonomous laboratories

IWT Bremen, MaterialDigital

Towards Useful Materials Processing Ontologies

CCDC, IUPAC

Interoperable Crystallographic Data: A Community Success Story

Citrine Informatics

Supporting Industrial Users in Structuring Data for AI

EPFL, Zakodium, cheminfo

Open-source JavaScript libraries for chemical data management

Karlsruher Institut für Technologie (KIT)

Kadi4Mat : research data infrastructure for material science and beyond

Deltablot, eLabFTW

University of Cambridge

The Language of Materials

Unversity of Southampton

Understanding infrastructure requirements to support FAIR physical sciences data