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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Detalles Bibliográficos
Autores principales: Arend, Daniel, Lange, Matthias, Chen, Jinbo, Colmsee, Christian, Flemming, Steffen, Hecht, Denny, Scholz, Uwe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4080583/
https://www.ncbi.nlm.nih.gov/pubmed/24958009
http://dx.doi.org/10.1186/1471-2105-15-214

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4080583/
https://www.ncbi.nlm.nih.gov/pubmed/24958009
http://dx.doi.org/10.1186/1471-2105-15-214

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