The RDM System LARA

- Semantics Through Automation From Bottom Up

Authors

DOI:

https://doi.org/10.52825/cordi.v1i.359

Keywords:

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

Abstract

LARAsuite (https://gitlab.com/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) (https://sila-standard.org), 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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References

R. F. data maturity model Working Group. “Fair data maturity model: Specification and guidelines.” (2023), [Online]. Available: https://www.rd- alliance.org/group/fair-data- maturity- model- wg/outcomes/fair- data- maturity- model- specification-and-guidelines-0 (visited on 07/25/2023).

M. Doerr. (2023). The lara suite, [Online]. Available: https://github.com/LARAsuite (visited on 04/26/2023).

T. S. organisation. (2023). Sila - standards in lab automation, [Online]. Available: https://sila-standard.org (visited on 04/26/2023).

M. Doerr. (2023). The pythonlab process description language, [Online]. Available: https://github.com/opensourcelab/pythonlab (visited on 04/26/2023).

M. Doerr and S. T. Maak. (2023). The laborchestrator, [Online]. Available: https://github.com/opensourcelab/laborchestrator (visited on 04/26/2023).

S. T. Maak and M. Doerr. (2023). The labscheduler, [Online]. Available: https://github.com/opensourcelab/labscheduler (visited on 04/26/2023).

M. Doerr. (2023). The opensource lab project, [Online]. Available: https://github.com/OpenSourceLab (visited on 04/26/2023).

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Published

2023-09-07
Received 2023-04-26
Accepted 2023-06-29
Published 2023-09-07

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