Journal article

Best Practice Data Life Cycle Approaches for the Life Sciences

Philippa Griffin, Jyoti Khadake, Kate LeMay, Suzanna Lewis, Sandra Orchard, Andrew Pask, Bernard Pope, Ute Roessner, Keith Russell, Torsten Seemann, Andrew Treloar, Sonika Tyagi, Jeffrey Christiansen, Saravanan Dayalan, Simon Gladman, Sandra Hangartner, Helen Hayden, William Ho, Gabriel Keeble-Gagnère, Pasi Korhonen Show all

F1000Research | Published : 2017


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 transitions towards biology as a data science and towards a ‘life cycle’ view of research data pose new challenges. Researchers face a bewildering landscape of data management requirements, recommendations and regulations, without necessarily being able to access data management training or possessing a clear understanding of practical approaches that can assist in data management in their particular r..

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