Temporal Data Storage and Analysis in Research Information Systems: An Event-Sourced Bitemporal Architecture for KDSF and CERIF

Abstract Current Research Information Systems (CRIS) frequently suffer from anachronistic attribution bias and high query latency when calculating longitudinal scientometric indicators over evolving institutional hierarchies. This preprint introduces an Event-Sourced bitemporal architecture that decouples transaction ingestion from point-in-time analytical projections (CQRS). We formalize an institutional succession algebra for department mergers and splits, design a projection engine compliant with the German Kerndatensatz Forschung (KDSF 2.1) and euroCRIS CERIF standards, and validate performance over a synthetic 30-year institutional dataset. Furthermore, we address the immutability conflict with GDPR Article 17 via cryptographic erasure (crypto-shredding). Note: The complete text of this research is provided in both English and German within the attached PDF files.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-06
DOI
https://doi.org/10.5281/zenodo.23183127
Primary Topic
Optics and Image Analysis
Type
preprint
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preprint

Temporal Data Storage and Analysis in Research Information Systems: An Event-Sourced Bitemporal Architecture for KDSF and CERIF

Oleh Riabtsev
Zenodo (CERN European Organization for Nuclear Research)
Optics and Image Analysis
preprint

Temporal Data Storage and Analysis in Research Information Systems: An Event-Sourced Bitemporal Architecture for KDSF and CERIF

Oleh Riabtsev
preprint en

Abstract

Abstract Current Research Information Systems (CRIS) frequently suffer from anachronistic attribution bias and high query latency when calculating longitudinal scientometric indicators over evolving institutional hierarchies. This preprint introduces an Event-Sourced bitemporal architecture that decouples transaction ingestion from point-in-time analytical projections (CQRS). We formalize an institutional succession algebra for department mergers and splits, design a projection engine compliant with the German Kerndatensatz Forschung (KDSF 2.1) and euroCRIS CERIF standards, and validate performance over a synthetic 30-year institutional dataset. Furthermore, we address the immutability conflict with GDPR Article 17 via cryptographic erasure (crypto-shredding). Note: The complete text of this research is provided in both English and German within the attached PDF files.

Zenodo (CERN European Organization for Nuclear Research)
University of Vechta (DE)
Optics and Image Analysis
DOIOpen Access PDFOpenAlex
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Temporal Data Storage and Analysis in Research Information Systems: An Event-Sourced Bitemporal Architecture for KDSF and CERIF — Oleh Riabtsev · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS