  This vision paper introduces a pioneering data lake architecture designed to
meet Life \& Earth sciences' burgeoning data management needs. As the data
landscape evolves, the imperative to navigate and maximize 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 \& Earth
sciences to solve some of our time's most critical environmental and biological
challenges.
