Abstract: 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.
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Daniel Arend, Matthias Lange, Jinbo Chen, Christian Colmsee, Steffen Flemming, Uwe Scholz, Tobias Czauderna, Anja Hartmann [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:||primary data, data managment, data citation, infrastructure|