The RDM System LARA

- Semantics Through Automation From Bottom Up




RDMS, Machine Learning, SiLA, Ontologies, Semantic Modelling, Automation, Database


LARAsuite ( is a free and open source research data management system that addresses the problematic of manual data insertion and metadata assignment into the corresponding databases by a radically automated processes. Data and Metadata is mainly not inserted by humans, but by the machines producing the data and automatically transferring this generated data and metadata to the LARA RDM system. This data transfer is achieved through the intensive utilisation of the free and open lab-automation standard SiLA (Standardisa- tion in Labautomation) (, combined with a simple to note process description language (pythonLab) and orchestration, scheduling, data aggre- gation and evaluation. Many LARA instances can be selectively synchronised to form a decentralised network of data infrastructures across labs and institutions. Research data and meta-data can be queried by a SPARQL endpoint. As the LARAsuite comes close to an ideal FAIR-principles based RDM System1, is generic to the most common natural science applications, is open source (python based), modular and easy deploy- able, it can be used to showcase NFDI goals for a wide range of scientists


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How to Cite

Doerr, M., Maak, S. T., Menke, M. J., & Bornscheuer, U. T. (2023). The RDM System LARA: - Semantics Through Automation From Bottom Up. Proceedings of the Conference on Research Data Infrastructure , 1.
Received 2023-04-26
Accepted 2023-06-29
Published 2023-09-07

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