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  • Citation: D. Arend (2014-07-25): The e!DAL JAVA API: Sharing and Citing Research Data in Life Sciences. DOI:10.5447/IPK/2014/3
  • 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.
  • License: GNU GENERAL PUBLIC LICENSE Version 2, June 1991
  • DOI: 10.5447/IPK/2014/3

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//The e!DAL JAVA API: Sharing and Citing Research Data in Life Sciences

//The e!DAL JAVA API: Sharing and Citing Research Data in Life Sciences

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CHECKSUM: none CONTRIBUTOR: Jinbo Chen, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland OT Gatersleben, Corrensstraße 3, D-06466, Germany, 0000-0003-3586-8160;
Christian Colmsee, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland OT Gatersleben, Corrensstraße 3, D-06466, Germany, 0000-0003-4387-4923;
Denny Hecht, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland OT Gatersleben, Corrensstraße 3, D-06466, Germany;
Matthias Lange, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland OT Gatersleben, Corrensstraße 3, D-06466, Germany, 0000-0002-4316-078X;
Uwe Scholz, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland OT Gatersleben, Corrensstraße 3, D-06466, Germany, 0000-0001-6113-3518
COVERAGE: none CREATOR: Daniel Arend, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland OT Gatersleben, Corrensstraße 3, D-06466, Germany, 0000-0002-2455-5938
DATE: Event: event
UPDATED: TimePoint: Fri Jul 25 10:21:45 CEST 2014
CREATED: TimePoint: Tue Jun 24 10:21:41 CEST 2014
DESCRIPTION: 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.
FORMAT: none IDENTIFIER: Unknown_ID
LANGUAGE: en PUBLISHER: Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland OT Gatersleben, Corrensstraße 3, D-06466, Germany
RELATION: none RIGHTS: GNU GENERAL PUBLIC LICENSE Version 2, June 1991
SIZE: 5 SOURCE: none
SUBJECT: data publication process, data citation, infrastructure TITLE: The e!DAL JAVA API: Sharing and Citing Research Data in Life Sciences
TYPE: directory