
SEPIA (Sample Essentials, Persistent Identifiers & Attributes) is a FAIR-compliant sample metadata platform designed for ICAT-based research infrastructures. It enables centralized registration, persistent identification, and full provenance tracking of scientific samples across their lifecycle. SEPIA mints IGSNs via DataCite, provides dedicated landing pages, and supports a core citation metadata schema with extensible sample-type specific attributes. Through a REST API (OpenAPI) and web interface, it integrates seamlessly into laboratory workflows. Developed as a separate service tightly integrated with ICAT, SEPIA manages full FAIR sample metadata while ICAT retains responsibility for proposals, investigations, and datasets. SEPIA is currently under development at Helmholtz-Zentrum Berlin (HZB) with contributions from the Helmholtz Metadata Collaboration (HMC), in cooperation with DAPHNE4NFDI and the ROCK-IT project.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
