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

Year: 2025

Type: article

Abstract: 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).

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15091339

Authors: Sedeqi, Mojeeb Rahman, Krahl, Rolf, Rial, Katherine, Görzig, Heike

Institutions: Helmholtz-Zentrum Berlin für Materialien und Energie, Helmholtz Metadata Collaboration

Language: English

Topic: Research Data Management Practices

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6949722409

FWCI: 1.083

Cites: 1

Cited by: 1

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