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

BACKGROUND: 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 d...

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Autores principales: Arend, Daniel, König, Patrick, Junker, Astrid, Scholz, Uwe, Lange, Matthias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7580168/
https://www.ncbi.nlm.nih.gov/pubmed/33090199
http://dx.doi.org/10.1093/gigascience/giaa107
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author Arend, Daniel
König, Patrick
Junker, Astrid
Scholz, Uwe
Lange, Matthias
author_facet Arend, Daniel
König, Patrick
Junker, Astrid
Scholz, Uwe
Lange, Matthias
author_sort Arend, Daniel
collection PubMed
description BACKGROUND: 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 large quantity of research data is still hidden or at 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 prohibiting primary data storage outside institional boundaries. RESULTS: To share these potentially dark data in a FAIR way and master these challenges the ELIXIR Germany/de.NBI service Plant Genomic and Phenomics Research Data Repository (PGP) implements a “bring the infrastructure to the data” approach, which allows research data to be kept in place and wrapped in a FAIR-aware software infrastructure. This article presents new features of the e!DAL infrastructure software and the PGP repository 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 means to lower technical barriers and to increase the visibility of research data. CONCLUSION: The e!DAL software matured to a powerful and FAIR-compliant infrastructure, while keeping the focus on flexible setup and integration into existing infrastructures and into the daily research process.
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spelling pubmed-75801682020-10-28 The on-premise data sharing infrastructure e!DAL: Foster FAIR data for faster data acquisition Arend, Daniel König, Patrick Junker, Astrid Scholz, Uwe Lange, Matthias Gigascience Technical Note BACKGROUND: 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 large quantity of research data is still hidden or at 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 prohibiting primary data storage outside institional boundaries. RESULTS: To share these potentially dark data in a FAIR way and master these challenges the ELIXIR Germany/de.NBI service Plant Genomic and Phenomics Research Data Repository (PGP) implements a “bring the infrastructure to the data” approach, which allows research data to be kept in place and wrapped in a FAIR-aware software infrastructure. This article presents new features of the e!DAL infrastructure software and the PGP repository 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 means to lower technical barriers and to increase the visibility of research data. CONCLUSION: The e!DAL software matured to a powerful and FAIR-compliant infrastructure, while keeping the focus on flexible setup and integration into existing infrastructures and into the daily research process. Oxford University Press 2020-10-22 /pmc/articles/PMC7580168/ /pubmed/33090199 http://dx.doi.org/10.1093/gigascience/giaa107 Text en © The Author(s) 2020. Published by Oxford University Press GigaScience. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Technical Note
Arend, Daniel
König, Patrick
Junker, Astrid
Scholz, Uwe
Lange, Matthias
The on-premise data sharing infrastructure e!DAL: Foster FAIR data for faster data acquisition
title The on-premise data sharing infrastructure e!DAL: Foster FAIR data for faster data acquisition
title_full The on-premise data sharing infrastructure e!DAL: Foster FAIR data for faster data acquisition
title_fullStr The on-premise data sharing infrastructure e!DAL: Foster FAIR data for faster data acquisition
title_full_unstemmed The on-premise data sharing infrastructure e!DAL: Foster FAIR data for faster data acquisition
title_short The on-premise data sharing infrastructure e!DAL: Foster FAIR data for faster data acquisition
title_sort on-premise data sharing infrastructure e!dal: foster fair data for faster data acquisition
topic Technical Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7580168/
https://www.ncbi.nlm.nih.gov/pubmed/33090199
http://dx.doi.org/10.1093/gigascience/giaa107
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