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The on-premise data sharing infrastructure e!DAL: Foster FAIR data for faster data acquisition
Daniel Arend1, Patrick König1, Astrid Junker1
1Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Corrensstrasse 3, D-06466 Seeland, Germany.
The Plant Genomic and Phenomics Research Data Repository (PGP) uses the e!DAL infrastructure to make large, hidden plant genomics and phenomics data FAIR. This approach brings infrastructure to the data, improving accessibility and long-term management.
Area of Science:
- Plant genomics and phenomics research
- Data management and bioinformatics
Background:
- The FAIR data principle is crucial for long-term research data management.
- Established infrastructures struggle to manage the vast, diverse data from plant genomics and phenomics.
- Significant research data remains inaccessible or at risk due to volume, formatting, and organizational constraints.
Purpose of the Study:
- To present new features of the e!DAL infrastructure software and the PGP repository.
- To demonstrate a best practice for establishing FAIR-compliant research data services.
- To lower technical barriers and enhance research data visibility through integrated services.
Main Methods:
- Implementing a "bring the infrastructure to the data" approach.
- Utilizing the e!DAL infrastructure software for FAIR data management.
- Integrating ELIXIR Authentication and Authorization Infrastructure (AAI) and data discovery services.
Main Results:
- The Plant Genomic and Phenomics Research Data Repository (PGP) facilitates FAIR data sharing for previously inaccessible data.
- New features of the e!DAL infrastructure and PGP repository enable intuitive, FAIR-compliant data services.
- Integration with ELIXIR AAI and discovery services enhances data accessibility and visibility.
Conclusions:
- The e!DAL software provides a robust, FAIR-compliant infrastructure.
- The e!DAL infrastructure is flexible and integrates easily into existing research workflows.
- The PGP repository serves as a best practice for creating accessible and FAIR research data services.
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