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arXiv · 2509.26102

Experiversum: an Ecosystem for Curating and Enhancing Data-Driven Experimental Science

Genoveva Vargas-Solar·Umberto Costa·Jérôme Darmont·Javier Espinosa-Oviedo·Carmem Hara·Sabine Loudcher·Regina Motz·Martin A. Musicante·José-Luis Zechinelli-Martini
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Abstract

This paper introduces Experiversum, a lakehouse-based ecosystem that supports the curation, documentation and reproducibility of exploratory experiments. Experiversum enables structured research through iterative data cycles, while capturing metadata and collaborative decisions. Demonstrated through case studies in Earth, Life and Political Sciences, Experiversum promotes transparent workflows and multi-perspective result interpretation. Experiversum bridges exploratory and reproducible research, encouraging accountable and robust data-driven practices across disciplines.

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Genoveva Vargas-Solar, Umberto Costa, Jérôme Darmont, Javier Espinosa-Oviedo, Carmem Hara, Sabine Loudcher, Regina Motz, Martin A. Musicante, José-Luis Zechinelli-Martini. 2025-09-30. Experiversum: an Ecosystem for Curating and Enhancing Data-Driven Experimental Science. https://arxiv.org/abs/2509.26102

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