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How to share data for collaboration
Shannon E Ellis1, Jeffrey T Leek1
1Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health and Center for Computational Biology, John Hopkins University, Baltimore, MD.
Abstract:
Within the statistics community, a number of guiding principles for sharing data have emerged; however, these principles are not always made clear to collaborators generating the data. To bridge this divide, we have established a set of guidelines for sharing data. In these, we highlight the need to provide raw data to the statistician, the importance of consistent formatting, and the necessity of including all essential experimental information and pre-processing steps carried out to the statistician. With these guidelines we hope to avoid errors and delays in data analysis.
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