Link to manuscript preprint: https://psyarxiv.com/uaezh/ Link to decision tree: https://doi.org/10.31234/osf.io/mdw5r Link to infographic: https://miro.com/app/board/o9J_l8JGJQk=/ Link to missing data #glossary: https://docs.google.com/document/d/1eIvXT5f4DeaLzQe_WInLnUvRIhzZ1je_LTUDgHJ2xtk/edit?usp=sharing Link to Zoom recording of hackathon introduction and orientation: https://psu.zoom.us/rec/share/5BQhb8ruf_VxcnPVXgjHb8NDs4MxJTd9luMQTPLs9DtCAvcM0os--Pug6ANQ22cR.SRwfCnxa3U8NVM1Q?startTime=1624464359000 The goal of this session was to collectively procure a list of resources or citations on multiple imputation and missing data, as well as to create multiple imputation coding templates for several prominent software languages (Stata, Mplus, R, SAS, Blimp). We crowdsourced these resources and templates to create a decision tree that can be used as a “roadmap” to multiple imputation, similar to previous SIPS products on preregistration and open science. Interested participants were invited to work further on this decision tree as well as coauthor a manuscript with guidelines to addressing missing data through multiple imputation.