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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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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. |
format | Online Article Text |
id | pubmed-7580168 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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