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

Daniel Arend
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...
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