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

Fuente: arXiv
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Hauptverfasser: Vargas-Solar, Genoveva, Costa, Umberto, Darmont, Jérôme, Espinosa-Oviedo, Javier, Hara, Carmem, Loudcher, Sabine, Motz, Regina, Musicante, Martin A., Zechinelli-Martini, José-Luis
Format: Preprint
Veröffentlicht: 2025
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author Vargas-Solar, Genoveva
Costa, Umberto
Darmont, Jérôme
Espinosa-Oviedo, Javier
Hara, Carmem
Loudcher, Sabine
Motz, Regina
Musicante, Martin A.
Zechinelli-Martini, José-Luis
author_facet Vargas-Solar, Genoveva
Costa, Umberto
Darmont, Jérôme
Espinosa-Oviedo, Javier
Hara, Carmem
Loudcher, Sabine
Motz, Regina
Musicante, Martin A.
Zechinelli-Martini, José-Luis
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2509_26102
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Experiversum: an Ecosystem for Curating and Enhancing Data-Driven Experimental Science
Vargas-Solar, Genoveva
Costa, Umberto
Darmont, Jérôme
Espinosa-Oviedo, Javier
Hara, Carmem
Loudcher, Sabine
Motz, Regina
Musicante, Martin A.
Zechinelli-Martini, José-Luis
Databases
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.
title Experiversum: an Ecosystem for Curating and Enhancing Data-Driven Experimental Science
topic Databases
url https://arxiv.org/abs/2509.26102