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

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

Databases 2025-10-01 v1

Authors: 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.

Keywords

scholarly communication data warehousing

Cite

@article{arxiv.2509.26102,
  title  = {Experiversum: an Ecosystem for Curating and Enhancing Data-Driven Experimental Science},
  author = {Genoveva Vargas-Solar and Umberto Costa and Jérôme Darmont and Javier Espinosa-Oviedo and Carmem Hara and Sabine Loudcher and Regina Motz and Martin A. Musicante and José-Luis Zechinelli-Martini},
  journal= {arXiv preprint arXiv:2509.26102},
  year   = {2025}
}

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

Abstract

Keywords

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