The Plant Genomics and Phenomics Research Data Repository (PGP) is a data publication infrastructure to comprehensively publish multi-domain plant research data.[1] It is hosted at the Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) in Gatersleben, Germany.
The repository hosts Digital Object Identifier (DOI) citable datasets that are not being published in public repositories because of their volume or data scope. PGP enables the publication of gigabyte-scale datasets and is registered as a research data repository at FAIRSharing.org, re3data.org and OpenAIRE as a valid EU Horizon 2020 open data archive. PGP fulfills the FAIR data principles—findable, accessible, interoperable, reusable.
The PGP repository was created using the e!DAL[2][3] software infrastructure and applies an on-premises approach to bring and connect data to infrastructure.
Data Content
editAll submitted and approved data are hosted at IPK Gatersleben and are stably citable in the long-term by a DOI. All datasets are linked in ORCID and indexed by all major web search engines. The PGP repository is accepted by data journals such as GigaScience and Nature Scientific Data as a recommended data repository. All published datasets may be explored in the PGP data report application or retrieved using the DataCite search web application.
Data Submission
editThe PGP repository accepts submissions from the European plant science community. The web-based submission tool for small datasets and Java desktop submission tool for gigabyte scale datasets use the ELIXIR Authentication and authorization infrastructure (AAI). A review process ensures the technical quality of data submissions.
German Network for Bioinformatics Infrastructure
editThe PGP repository is a part of the service portfolio of the German Crop BioGreenformatics Network (GCBN) node of the German Network for Bioinformatics Infrastructure.
References
edit- ^ Arend, Daniel; Junker, Astrid; Scholz, Uwe; Schüler, Danuta; Wylie, Juliane; Lange, Matthias (16 April 2016). "PGP repository: a plant phenomics and genomics data publication infrastructure". Database. 2016 (baw033): baw033. doi:10.1093/database/baw033. PMC 4834206. PMID 27087305.
- ^ Arend, Daniel; König, Patrick; Junker, Astrid; Scholz, Uwe; Lange, Matthias (2020-10-20). "The on-premise data sharing infrastructure e!DAL: Foster FAIR data for faster data acquisition". GigaScience. 9 (10): giaa107. doi:10.1093/gigascience/giaa107. ISSN 2047-217X. PMC 7580168. PMID 33090199.
- ^ Arend, Daniel; Lange, Matthias; Chen, Jinbo; Colmsee, Christian; Flemming, Steffen; Hecht, Denny; Scholz, Uwe (2014). "e!DAL - a framework to store, share and publish research data". BMC Bioinformatics. 15 (1): 214. doi:10.1186/1471-2105-15-214. ISSN 1471-2105. PMC 4080583. PMID 24958009.