Best practice for reproducible research

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Room 2.26

35 Berkeley Square

University of Bristol

BS8 1JA

United Kingdom

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Event description

Description

Come and learn how and why you should make your research reproducible. We will introduce you to methods for making your data analysis pipeline more open and reproducible, such as:

  • publishing your research online through the Open Science Foundation (OSF)
  • using literate programming (e.g. RMarkdown) to make your analysis more transparent
  • how to pre-register your study and prepare registered reports
  • use Git version control to back up your work.

Important info prior to the event

You will need to bring a laptop with RStudio, R and Git already installed. Please see the course set up instructions. Please check your installations of RStdio, R and Git prior to attending the workshop as you will need these to take part in the interactive aspect of the workshop. Please also check that you can use Git inside RStudio - see instructions

Data Week 2019

This event is part of Data Week 2019, run by the Jean Golding Institute.

Any questions? Please contact jgi-coordinator@bristol.ac.uk.

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Date and Time

Location

Room 2.26

35 Berkeley Square

University of Bristol

BS8 1JA

United Kingdom

View Map

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