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Supporting software for "The on-premise data sharing infrastructure e!DAL: Foster FAIR data for faster data acquisition"

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DataCite Commons2025-05-26 更新2025-04-15 收录
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http://gigadb.org/dataset/100804
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The FAIR data principle as a commitment to support long-term research data management is widely accepted in the scientific community. Although the ELIXIR Core Data Resources and other established infrastructures provide comprehensive and long-term stable services and platforms for FAIR data management, a notable number of research data is still hidden or under risk of getting lost. Currently, high-throughput plant genomics and phenomics technologies are producing research data in abundance, the storage of which is not covered by established core databases. This concerns the data volume, e.g. time series of images or high-resolution hyper-spectral data, the quality of data formatting and annotation, e.g. with regard to structure and annotation specifications of core databases, uncovered data domains, or organizational constraints to not primarily store data outside the institutional boundaries. In order to share these potentially dark data in a FAIR way and master these challenges the ELIXIR Germany/de.NBI service Plant Genomics and Phenomics Research Data Repository (PGP) implements a bring the infrastructure to the data approach which allows us to keep the research data in place and wrap them by a FAIR-aware software infrastructure. <br>This article presents new features of the PGP infrastructure as a best practice on how to easily set up FAIR-compliant and intuitive research data services. Furthermore, the integration of the ELIXIR Authentication and Authorization Infrastructure (AAI) and data discovery services are introduced as a means to lower technical barriers and to increase the visibility of research data.
提供机构:
GigaScience Database
创建时间:
2020-09-21
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