The long term objective is to identify and implement (a) data management solution(s) and infrastructure covering the R&I scope and dedicated to Business Intelligence from data search, visualization and analytics. It will allow to capture, store, integrate and use R&I lab data, encompassing master data, contextual data (definition of experiments that are performed in R&I projects) and analytical data (the data that are generated along these experiments). It will also allow to integrate external data sources in several formats when required.
The Solvay Lab booster program includes 3 use-cases associated with 3 R&I domains (batteries, coatings, materials).
Summary
Description
(Description of the application, what is it, what is the need, what the value generated ?)
Architecture Overview
(Add diagram Inputs > Processing > Outputs)Key Contacts
General LabBooster
Role | Name | Location (Country / Site) | |
|---|---|---|---|
| Product Owner - Battery (EWHA/Bollate) | Stefano Mauri | stefano.mauri@solvay.com | Italy |
| Product Owner - Battery | J Valente | ||
| Product Owner - Coatings | A F Salazar | andresfelipe.sierrasalazar@solvay.com | |
| Product Owner - Materials | Brittany Gilkenson | brittany.gilkenson@solvay.com | |
| R&I Data Management | Sebastien Issanchou | sebastien.issanchou@solvay.com | RICL, Saint-Fons, France |
ELN Expert | Antoine Rey | antoine.rey-ext@solvay.com | Solvay Lyon, France |
| ELN Spreadsheet Developer | |||
| Data Science and Data Engineering Team | |||
| Other key users | |||
| Data Visualization | |||
| Key End Users |
Criticality
High / Medium / Low
Legal Constraints
(GDPR, EAR, etc...)