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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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Détails bibliographiques
Auteurs principaux: Arend, Daniel, Lange, Matthias, Chen, Jinbo, Colmsee, Christian, Flemming, Steffen, Hecht, Denny, Scholz, Uwe
Format: Artigo
Langue:Inglês
Publié: BioMed Central 2014
Sujets:
Accès en ligne: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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