TY - FIGURE T1 - The e!DAL JAVA-API - Store, Share and Cite Primary Data in Life Sciences AU - Arend, Daniel DO - 10.5447/IPK/2012/12 UR - https://doi.ipk-gatersleben.de/DOI/fe114b72-76ca-4e9d-8472-8f527d0791a4/e52e937d-d7fa-4bee-b632-68d715cf594a/2 AB - 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. KW - primary data KW - data managment KW - data citation KW - infrastructure PY - 2012 PB - e!DAL - Plant Genomics and Phenomics Research Data Repository (PGP), IPK Gatersleben, Seeland OT Gatersleben, Corrensstraße 3, 06466, Germany LA - en ER -