Authors: Genoveva Vargas-Solar, Jérôme Darmont, Alejandro Adorjan, Javier A. Espinosa-Oviedo, Carmem Hara, Sabine Loudcher, Regina Motz, Martin Musicante, José-Luis Zechinelli-Martini
Published on: March 29, 2024
Impact Score: 7.8
Arxiv code: Arxiv:2403.20063
Summary
- What is new: Introduces a pioneering data lake architecture tailored for Life \\ Earth sciences, featuring a ‘research-in-the-loop’ methodology for data curation.
- Why this is important: The burgeoning data management needs in Life \\ Earth sciences due to the evolving data landscape.
- What the research proposes: A strategic approach to unify and integrate diverse datasets through a novel data lake architecture, facilitating collaboration and scientific discovery.
- Results: Strengthened data management practices and enhanced capacity for Life \\ Earth sciences to tackle critical environmental and biological challenges.
Technical Details
Technological frameworks used: Data lake architecture with ‘research-in-the-loop’ methodology
Models used: Formal and semi-automatic tools for data curation
Data used: Quantitative and qualitative data from experiments across various disciplines
Potential Impact
Data management solutions providers, cloud storage companies, and Life \\ Earth science research institutions
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