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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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Bibliografische gegevens
Gepubliceerd in:F1000Res
Hoofdauteurs: 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
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: F1000 Research Limited 2018
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Online toegang: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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