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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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محفوظ في:
التفاصيل البيبلوغرافية
الحاوية / القاعدة:F1000Res
المؤلفون الرئيسيون: 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
التنسيق: Artigo
اللغة:Inglês
منشور في: F1000 Research Limited 2018
الموضوعات:
الوصول للمادة أونلاين: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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