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Abstract: Open access: the principle that data, methods, and code should be readily shared among researchers. A worthy goal and imperative for reproducibility in the face of complex analyses with ever increasing databases. However, under the current data management architectures infrastructure costs alone will make open access prohibitively expensive. This study attempts to estimate the costs of open access and proposes a possible solution to enable open access in the era of big genomic data.

Learning Objective 1: To teach the audience about an upcoming issues facing all bioinformatics researchers and to solict opinions on possible solutions

Authors:

Nate Stockham (Presenter)
Stanford University

Dennis Wall, Stanford University

Presentation Materials:

Keywords