The MDL is strongly committed to open science research practices. We think open data, code, analysis, protocols, etc., is an important step towards developing a more reproducible and replicable clinical science. We started incorporating open science methods in 2018 (approximately) and are continuing to more fully integrate those methods into our research. Below you will find links to our data, code, pre-prints, and other research products that can sometimes be hard to find (e.g., conference posters and talks). We will continue to post additional resources as they are developed.

MDL Open Resources

• How to develop a research idea: Dynamic version
• Lab manual: Dynamic version and a static version (pushed to the UT Dataverse when major updates to the lab manual occur).
• Guidelines for conducting an honors thesis in the MDL: http://dx.doi.org/10.26153/tsw/2187

MDL Open Data, Pre-Prints, Posters/Talks, Dissertations

• Open data: https://dataverse.tdl.org/dataverse/mdl?q=&types=dataverses
• Pre-prints: https://osf.io/preprints/discover?q=Beevers
• Poster/talk repository: https://repositories.lib.utexas.edu/handle/2152/74976
• Dissertations: https://repositories.lib.utexas.edu/handle/2152/75715

MDL Recorded Talks
We occasionally record our lab meetings or other presentations, particularly when we are discussing topics that we may want to revisit in the future. 

• Writing Functions in R
• How to make your R code Purrr
• Advice on giving a scientific talk
• An Introduction to Overleaf
• Extracting emotion dynamics from time series data
• Sample size suggestions for prognostic models for digital interventions
• Simulations 101, part I
• Simulations 101, part II
• Simulations 101, part III
• Simulations 101, part IV