LARA is an AI driven, next generation open-source Research Data Management / LIMS / ELN System. It supports natural scientist of all disciplines to generate highly interlinked, semantically annotated data and metadata knowledge graphs. With its lab-automation capabilities it can capture semantically annotated (measurement) data from the moment of creation. (Local) AI systems assist to structure the research data and build a query-able knowledge graph, making them as FAIR as possible. Experimental results can be seamlessly synchronised with different project partners or public repositories (like NFDI dataverses, e.g. NFDI4Cat, Zenodo, EOSC cloud). This project shall develop a generic django-allauth (https://github.com/pennersr/django-allauth) based plugin to grant the NFDI community access to a LARA service.
AAI service integration into LARA is an incubator project within the Identity and Access Management (IAM) basic service of Base4NFDI.
Current status
Finished — cycle 4 completed on 2026-01-31.
Timeline
- Start: 2025-08-01
- End: 2026-01-31
- Cycle: 4
Goals
- Develop a generic python-django allauth plugin, that can be (re-) used in many django based projects, like LARAsuite, to grant NFDI community access
- Authorisation information shall provide a restricted view on the research data stored in the LARA databases
Results
Partners & entities
- Partner publications: 0
Notes
This report maps to row iam-aai-service-integration-into-lara in the NocoDB dashboard table.