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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Bibliografiske detaljer
Udgivet i: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
Format: Artigo
Sprog:Inglês
Udgivet: F1000 Research Limited 2018
Fag:
Opinion Article
Online adgang: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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