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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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Bibliografski detalji
Glavni autori: Arend, Daniel, Lange, Matthias, Chen, Jinbo, Colmsee, Christian, Flemming, Steffen, Hecht, Denny, Scholz, Uwe
Format: Artigo
Jezik:Inglês
Izdano: BioMed Central 2014
Teme:
Online pristup: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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