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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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| Auteurs principaux: | , , , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
BioMed Central
2014
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| 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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