e!DAL - a framework to store, share and publish research data

BACKGROUND: The life-science community faces a major challenge in handling “big data”, highlighting the need for high quality infrastructures capable of sharing and publishing research data. Data preservation, analysis, and publication are the three pillars in the “big data life cycle”. The infrastr...

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Autors principals: Arend, Daniel, Lange, Matthias, Chen, Jinbo, Colmsee, Christian, Flemming, Steffen, Hecht, Denny, Scholz, Uwe
Format: Artigo
Idioma:Inglês
Publicat: BioMed Central 2014
Matèries:
Software
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC4080583/
https://ncbi.nlm.nih.gov/pubmed/24958009
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-15-214
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