10.5447/IPK/2012/12
Arend, Daniel
Daniel
Arend
0000-0002-2455-5938
Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland OT Gatersleben, Corrensstraße 3, 06466, Germany
The e!DAL JAVA-API - Store, Share and Cite Primary Data in Life Sciences
e!DAL - Plant Genomics and Phenomics Research Data Repository (PGP), IPK Gatersleben, Seeland OT Gatersleben, Corrensstraße 3, 06466, Germany
2012
primary data
data managment
data citation
infrastructure
Arend, Daniel
Daniel
Arend
0000-0002-2455-5938
Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland OT Gatersleben, Corrensstraße 3, 06466, Germany
Lange, Matthias
Matthias
Lange
0000-0002-4316-078X
Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland OT Gatersleben, Corrensstraße 3, 06466, Germany
Chen, Jinbo
Jinbo
Chen
0000-0003-3586-8160
Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland OT Gatersleben, Corrensstraße 3, 06466, Germany
Colmsee, Christian
Christian
Colmsee
0000-0003-4387-4923
Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland OT Gatersleben, Corrensstraße 3, 06466, Germany
Flemming, Steffen
Steffen
Flemming
Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland OT Gatersleben, Corrensstraße 3, 06466, Germany
Scholz, Uwe
Uwe
Scholz
0000-0001-6113-3518
Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland OT Gatersleben, Corrensstraße 3, 06466, Germany
Hartmann, Anja
Anja
Hartmann
Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland OT Gatersleben, Corrensstraße 3, 06466, Germany
Czauderna, Tobias
Tobias
Czauderna
0000-0002-1788-9593
Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland OT Gatersleben, Corrensstraße 3, 06466, Germany
2012-10-06
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Current strategies for primary data management towards effective data publication, retrieval, sharing and citation require enhanced platforms. One driving
force is the recent developments in biotechnology. It is attended by a strong growth of scientific primary data. For example, “Next-Generation-Sequencing” or “Plant-Phenotyping” technologies
produce a huge amount of primary data. Its analysis and publication is one pillar in modern life science research. Consequently, the responsible use and efficient availability of digital resources
is an important factor in the nowadays “e-science” age. The JAVA-based e!DAL-API is a comprehensive storage backend for primary data management. It provides main features for the long-term
preservation of scientific primary data and has been designed and tested using experiences from several research projects and literature studies.