Work

SEPIA: A Scalable System for Integrated Sample Metadata Management

Year: 2025

Type: article

Abstract: SEPIA: Sample Essentials, Persistent Identifiers & AttributesSEPIA is a scalable system for managing sample metadata and assigning persistent identifiers. It links samples with datasets, people, and investigations through a REST API and web interface. Piloted at HZB, SEPIA streamlines sample management, enhances collaboration, and ensures research data are traceable and accessible.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17813152

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: W7108685104

FWCI:

Cites: 2

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