Evolve with Your Research -- Stepwise System Evolution from Document-driven to Fact-centric Research Data Management in Materials Science

Fuente: arXiv
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Auteurs principaux: Dudarev, Victor, Ludwig, Alfred
Format: Preprint
Publié: 2025
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author Dudarev, Victor
Ludwig, Alfred
author_facet Dudarev, Victor
Ludwig, Alfred
contents The digitalisation of research requires data management systems capable of supporting a broad spectrum of usage scenarios, ranging from document-oriented repositories to fully factographic environments. This paper introduces a methodological approach for the stepwise development of such systems, illustrated by the MatInf Research Data Management System (RDMS). The proposed framework combines a graph-based STAR paradigm-emphasising Statefulness, Traceability, Aim, and Result-with the SET methodology, which enables systematic Standardisation, Extraction, and Testing of research data. Together, these principles provide a pathway towards FAIR-compliant data infrastructures, facilitating reproducibility, re-use, and integration of heterogeneous materials science data. By demonstrating the gradual consolidation of research outputs into unified datasets, this study highlights how adaptive RDMS design can support accelerated scientific discovery and enhance collaborative research in large-scale projects.
format Preprint
id arxiv_https___arxiv_org_abs_2510_17840
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Evolve with Your Research -- Stepwise System Evolution from Document-driven to Fact-centric Research Data Management in Materials Science
Dudarev, Victor
Ludwig, Alfred
Digital Libraries
Materials Science
The digitalisation of research requires data management systems capable of supporting a broad spectrum of usage scenarios, ranging from document-oriented repositories to fully factographic environments. This paper introduces a methodological approach for the stepwise development of such systems, illustrated by the MatInf Research Data Management System (RDMS). The proposed framework combines a graph-based STAR paradigm-emphasising Statefulness, Traceability, Aim, and Result-with the SET methodology, which enables systematic Standardisation, Extraction, and Testing of research data. Together, these principles provide a pathway towards FAIR-compliant data infrastructures, facilitating reproducibility, re-use, and integration of heterogeneous materials science data. By demonstrating the gradual consolidation of research outputs into unified datasets, this study highlights how adaptive RDMS design can support accelerated scientific discovery and enhance collaborative research in large-scale projects.
title Evolve with Your Research -- Stepwise System Evolution from Document-driven to Fact-centric Research Data Management in Materials Science
topic Digital Libraries
Materials Science
url https://arxiv.org/abs/2510.17840