The on-premise data sharing infrastructure e!DAL: Foster FAIR data for faster data acquisition. Issue 10 (22nd October 2020)
- Record Type:
- Journal Article
- Title:
- The on-premise data sharing infrastructure e!DAL: Foster FAIR data for faster data acquisition. Issue 10 (22nd October 2020)
- Main Title:
- The on-premise data sharing infrastructure e!DAL: Foster FAIR data for faster data acquisition
- Authors:
- Arend, Daniel
König, Patrick
Junker, Astrid
Scholz, Uwe
Lange, Matthias - Abstract:
- Abstract: 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 theAbstract: 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. … (more)
- Is Part Of:
- GigaScience. Volume 9:Issue 10(2020)
- Journal:
- GigaScience
- Issue:
- Volume 9:Issue 10(2020)
- Issue Display:
- Volume 9, Issue 10 (2020)
- Year:
- 2020
- Volume:
- 9
- Issue:
- 10
- Issue Sort Value:
- 2020-0009-0010-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-10-22
- Subjects:
- research data management -- FAIR principles -- digital object identifier -- plant genomics and phenomics
Information storage and retrieval systems -- Research -- Periodicals
Biology -- Research -- Periodicals
Medical sciences -- Research -- Periodicals
Database management -- Periodicals
570.285 - Journal URLs:
- http://www.gigasciencejournal.com/ ↗
http://www.oxfordjournals.org/ ↗ - DOI:
- 10.1093/gigascience/giaa107 ↗
- Languages:
- English
- ISSNs:
- 2047-217X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 15157.xml