Abstract: The data life cycle from experiments to scientific publications follows in general the schema: experiments, data analysis, interpretation, and publication of scientific paper. Beside the publication of scientific findings, it is important to keep the data investment and ensure its future processing. This implies a guarantee for a long-term preservation and preventing of data loss. Condensed and enriched with metadata, primary data would be a more valuable resource than the re-extraction from articles. In this context it becomes essential, to change the handling and the acceptance of primary data within the scientific community. Data and publications should be honored with a high attention and reputation for data publishers. Here, we present new features of the e!DAL Java API (http://edal.ipk-gatersleben.de) as a lightweight software framework for publishing and sharing of research data. Its main features are version tracking, management of metadata, information retrieval, registration of persistent identifier, embedded HTTP(S) server for public data access, access as network file system, and a scalable storage backend. e!DAL is available as an open-source API for a local nonshared storage and remote usage to feature distributed applications. IPK is an approved data center in the international DataCite consortium (http://www.datacite.org/) and applies e!DAL as data submission and registration system. In the latest version the focus was to extend the features for the registration of Digital Object Identifier (DOI) and the development of a simple, but sufficient approval process to regulate the assignment of persistent identifier. In addition we implement some new graphical components, like an easy installation/demo wizard, to simplify the establishment of a repositories using e!DAL. An intuitive publication tool (Figure 1), allows uploading your data into your own private repository over the web and getting a DOI to permanently reference the datasets and increase your “data citation” index.
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Jinbo Chen, Christian Colmsee, Denny Hecht, Matthias Lange, Uwe Scholz [Show full information]
Daniel Arend [Show full information]
|PUBLISHER:||Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland OT Gatersleben, Corrensstraße 3, D-06466, Germany|
|SUBJECT:||data publication process, data citation, infrastructure|