The Plant Genomics and Phenomics Research Data Repository (PGP) is a data publication infrastructure to comprehensively publish multi-domain plant research data. It is hosted at the Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) in Gatersleben, Germany. The repository hosts DOI citeable datasets that are not being published in public repositories because of its volume or data scope.
PGP enable the publication of gigabyte scale datasets and is registered as research data repository at FAIRSharing.org, re3data.org and OpenAIRE as valid EU Horizon 2020 open data archive. Above features, the programmatic interface and the support of standard metadata formats, enable PGP to fulfil the FAIR data principles—findable, accessible, interoperable, reusable. The PGP repository was created using the e!DAL software infrastructure and applies an on-premises approach to “bring the infrastructure to the data” (I2D).
All submitted and approved data will be hosted at IPK Gatersleben and is long-term stable citable by an DOI. All datsets are linked in ORCID and index by all major web search engines. The PGP repository is accepted by data journals like GigaScience and Nature Scientific Data as recommended data repository. All published datasets may be explored in the PGP data report application or retrieved using the DataCite search web application.
The PGP repository accept submissions from 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 (de.NBI)
The PGP repository is a part of the service portfolio of the German Crop BioGreenformatics Network (GCBN) node of the German Network for Bioinformatics Infrastructure.
- ^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; 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.