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Place ENS Paris-Saclay
Jose-Armando HERNANDEZ-GONZALEZ
OVD-SaaS: Online Verifiable Data Science as a Service an architecture of microservices for industrial artificial-intelligence applications
Abstract
This thesis addresses the problem of reproducibility in scientific research from the point of view of academic researchers, publishers and industry. From a review of the state of the art of the activity of these actors we provide a gap analysis which includes aspects such as evaluating and rewarding reproducibility, tracking and controlling research artifacts, and best practices in open science projects.
We contribute by proposing solutions to these identified problems with a concrete methodology that includes the definition of new identifiers to conveniently join together authors with scientific publications and their source code as a whole, as well as any associated data.
We shall call this methodology OVD-SaaS (Online Verifiable Data Science, Software as a Service). This research is complemented with a reference implementation as a proof of concept, and we discuss the difference between demos with a short life cycle with complete applications focused to industrial applications. We provide some illustrative use cases to this purpose. Finally, we analyze the viability of the OVD-SaaS taking into account the needs and requirements of academic researchers, publishers and industry.
Key words
Reproducible research; Online platform; Data science; Industrial applications; Artificial Intelligence
Jury
- Fabio Augusto GONZALEZ OSORIO, Professor
- Pascal MONASSE, Research directo
- Sorina POP, Research scientist
- Stefaniia IVASHCHENKO, Doctor
Direction
- Miguel COLOM. Senior scientist, ENS Paris-Saclay.