A FAIR research data infrastructure for high-throughput digital chemistry
The Matryoshka file encapsulates all stages of a chemical experiment, along with raw data and metadata in a nested, semantically linked format. It drives a flexible RDI supporting automated, reproducible, and AI-ready chemical experimentation.
Authors
- Cyril Matthey-Doret (ORCID: https://orcid.org/0000-0002-1126-1535)
- Jean-Charles Cousty (ORCID: https://orcid.org/0009-0004-2284-4471)
- Pascal Miéville (ORCID: https://orcid.org/0009-0007-0864-4600)
- Oksana Riba‐Grognuz (ORCID: https://orcid.org/0000-0002-2961-2655)
- A. Gauthier (ORCID: https://orcid.org/0009-0003-2784-2451)
- Sabine Maennel (ORCID: https://orcid.org/0009-0001-3022-8239)
- Robin M. Franken (ORCID: https://orcid.org/0009-0008-0143-9118)
- Laure Vancauwenberghe (ORCID: https://orcid.org/0009-0000-0850-0016)
Institutions
- Swiss Data Science Center (CH)
- École Polytechnique Fédérale de Lausanne (CH)
Publication Details
- Journal
- Digital Discovery
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5dd00297d
- Primary Topic
- Research Data Management Practices
- Type
- article
- Field-Weighted Citation Impact
- 0.00