A desktop-application is available to upload large datasets to e!DAL-PGP. For smaller publications, also an intuitive web interface is provided. The user authentication features ELIXIR AAI, GOOGLE or ORCIDaccounts. Accepted data domains are among others image collections from plant phenotyping, unfinished genomes, genotyping data, visualizations of morphological plant models, data from mass spectrometry as well as software and documents. Scientific data curation services (incl. taxonomic services) e!DAL-PGP curates, archives and publishes plant-related research data. Thereby the datasets have no fixed file structure or defined records. Every published dataset is referenced with a DOI to guarantee a FAIR-aware and long-term stable citation. This means a DOI can refer to a single file but also to a comprehensive folder containing multiple files or subdirectories depending on the data domain. All datasets must be supplied by technical metadata and reviewed by two scientific and one administrative reviewer for (meta-)data quality and reusability. The user is guided by e-mails through the review process. Data submitters can define an optional embargo date. Every published dataset is referenced with a DOI to guarantee a FAIR-aware and long-term stable citation. Data domains Accepted data domains are among others image collections from plant phenotyping, unfinished genomes, genotyping data, visualizations of morphological plant models, data from mass spectrometry as well as software and documents. IT services The eDAL-PGP is built on the e!DAL (electronic Data Archive Library) framework, which is a lightweight Java-based software framework for maintaining, publishing and sharing research data. Data submission and accession Datasets can be submitted via a desktop application or web application. Beside functionalities for browsing, filtering and downloading of datasets, download and access statistics are provided for each DOI (https://doi.ipk-gatersleben.de/report). Data backup and archiving Data backup and archiving facilities are hosted at the IPK with a Hierarchical Storage Management System (HSM) as data archival backend. Data publication Datasets are registered with a unique DOI at DataCite, to ensure long-term accessibility and citability of the data. For more information refer to: User services Helpdesk and user workshops. |