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
Key Contacts
Role | Name | Location (Country / Site) | |
|---|---|---|---|
| Key User / Owner | |||
| SBS Project Manager (2020-22) | |||
| SBS Project Manager (2019-20) | |||
| 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 (2019-21) | |||
| Data Science and Data Engineering (2021-22) | |||
| Other key users | |||
| Data Visualization |
Documentation Folder
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