Best practice data life cycle approaches for the life sciences

Throughout history, the life sciences have been revolutionised by technological advances; in our era this is manifested by advances in instrumentation for data generation, and consequently researchers now routinely handle large amounts of heterogeneous data in digital formats. The simultaneous trans...

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Detalles Bibliográficos
Publicado en:F1000Res
Main Authors: Griffin, Philippa C., Khadake, Jyoti, LeMay, Kate S., Lewis, Suzanna E., Orchard, Sandra, Pask, Andrew, Pope, Bernard, Roessner, Ute, Russell, Keith, Seemann, Torsten, Treloar, Andrew, Tyagi, Sonika, Christiansen, Jeffrey H., Dayalan, Saravanan, Gladman, Simon, Hangartner, Sandra B., Hayden, Helen L., Ho, William W.H., Keeble-Gagnère, Gabriel, Korhonen, Pasi K., Neish, Peter, Prestes, Priscilla R., Richardson, Mark F., Watson-Haigh, Nathan S., Wyres, Kelly L., Young, Neil D., Schneider, Maria Victoria
Formato: Artigo
Idioma:Inglês
Publicado: F1000 Research Limited 2018
Assuntos:
Opinion Article
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC6069748/
https://ncbi.nlm.nih.gov/pubmed/30109017
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.12688/f1000research.12344.2
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