Publications of Jérôme Darmont
Reference (inproceedings)
G. Vargas-Solar, J. Darmont, A. Adorjan, J.A. Espinosa-Oviedo, C. Hara, S. Loudcher, R. Motz, M. Musicante, J.L. Zechinelli-Martini, "Dataversifying Natural Sciences: Pioneering a Data Lake Architecture for Curated Data-Centric Experiments in Life and Earth Sciences", 8th International workshop on Data Analytics solutions for Real-LIfe APplications (DARLI-AP@EDBT/ICDT 2024), Paestum, Italy, March 2024.
BibTeX entry
@INPROCEEDINGS{darliap24,
Author = {Genoveva Vargas-Solar and Jérôme Darmont and Alejandro Adorjan and Javier-Alfonso Espinosa-Oviedo and Carmem Hara and Sabine Loudcher and Regina Motz and Martin Musicante and José-Luis Zechinelli-Martini},
Title = {Dataversifying Natural Sciences: Pioneering a Data Lake Architecture for Curated Data-Centric Experiments in Life and Earth Sciences},
Booktitle = {8th International workshop on Data Analytics solutions for Real-LIfe APplications (DARLI-AP@EDBT/ICDT 2024), Paestum, Italy},
Month = {March},
Year = {2024},
Abstract = {This vision paper introduces a pioneering data lake architecture designed to meet Life and Earth sciences’ burgeoning data management needs. As the data landscape evolves, the imperative to navigate and maximise scientific opportunities has never been greater. Our vision paper outlines a strategic approach to unify and integrate diverse datasets, aiming to cultivate a collaborative space conducive to scientific discovery. The core of the design and construction of a data lake is the development of formal and semi-automatic tools, enabling the meticulous curation of quantitative and qualitative data from experiments. Our unique research-in-the-loop methodology ensures that scientists across various disciplines are integrally involved in the curation process, combining automated, mathematical, and manual tasks to address complex problems, from seismic detection to biodiversity studies. By fostering reproducibility and applicability of research, our approach enhances the integrity and impact of scientific experiments. This initiative is set to improve data management practices, strengthening the capacity of Life and Earth sciences to solve some of our time’s most critical environmental and biological challenges.},
Keywords = {Life and Earth sciences, data-driven experiments, data lake, data curation}
}