Improving research data management for samples: the SEPIA Sample Database for Metadata Storage and Exchange

SEPIA (Sample Essentials, Persistent Identifiers & Attributes System): The overall goal of the SEPIA project is to improve research data at matter facilities in Helmholtz by providing a structured approach to sample tracking and metadata management. By assigning unique identifiers, SEPIA enables researchers to track sample history, ensure data interoperability, and enhance collaborative research.This poster presents SEPIA’s architecture and functionalities, showcasing its impact on data accessibility, sharing practices, and scientific reproducibility across labs and implementation in a first use case at the Helmholtz-Zentrum Berlin (HZB).