How to Share Data for Collaboration

Shannon E. Ellis, Jeffrey T. Leek

Research output: Contribution to journalArticlepeer-review

7 Scopus citations


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 languageEnglish (US)
Pages (from-to)53-57
Number of pages5
JournalAmerican Statistician
Issue number1
StatePublished - Jan 2 2018


  • Analysis
  • Data sharing
  • Guidelines
  • Statistician
  • Tidy data

ASJC Scopus subject areas

  • Statistics and Probability
  • Mathematics(all)
  • Statistics, Probability and Uncertainty


Dive into the research topics of 'How to Share Data for Collaboration'. Together they form a unique fingerprint.

Cite this