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This paper introduces Experiversum, a lakehouse-based environment that supports the curation, documentation and reproducibility of data-driven scientific experiments. Experiversum enables structured research through iterative data cycles, while capturing metadata and collaborative decisions. Demonstrated through case studies in the 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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Experiversum: An Environment for Curating Data-Driven Experimental Sciences

  • 会议论文

  • 发表日期：

    2026年

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

摘要

This paper introduces Experiversum, a lakehouse-based environment that supports the curation, documentation and reproducibility of data-driven scientific experiments. Experiversum enables structured research through iterative data cycles, while capturing metadata and collaborative decisions. Demonstrated through case studies in the 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.