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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 53-57 |
| Number of pages | 5 |
| Journal | American Statistician |
| Volume | 72 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jan 2 2018 |
Keywords
- Analysis
- Data sharing
- Guidelines
- Statistician
- Tidy data
ASJC Scopus subject areas
- Statistics and Probability
- Mathematics(all)
- Statistics, Probability and Uncertainty
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Cite this
Ellis, S. E., & Leek, J. T. (2018). How to Share Data for Collaboration. American Statistician, 72(1), 53-57. https://doi.org/10.1080/00031305.2017.1375987