surveydown: An Open-Source, Markdown-Based Platform for Programmable and Reproducible Surveys
Year: 2025
Type: article
Abstract: This talk introduces the surveydown R package1 and survey platform. With surveydown, researchers can create reproducible, programmable surveys using markdown and R code chunks, leveraging the Quarto publication system and R Shiny web application framework. While most survey platforms rely on graphical interfaces or spreadsheets to define survey content, surveydown uses plain text, enabling version control and collaboration via tools like GitHub. The package renders surveys as interactive Shiny web applications, allowing for complex features like conditional skip logic, dynamic question display, and complex randomization. The package supports a diverse set of question types and formatting options, and users can leverage Shiny’s powerful reactive programming model to create a wide variety of customized interactive features. As an open-source platform, surveydown provides researchers full control over their survey implementation, including the survey application as well as where and how the resulting response data are stored. Workflows are entirely reproducible and integrate seamlessly with existing workflows for data collection and analysis in R. At this talk, you’ll not only learn how to build and deploy your own interactive surveys using surveydown, but also how you can join the growing community of contributors to the project.
Authors: Hu, Pingfan, Helveston, John
Institution: George Washington University
Language: English
Topic: Data Analysis with R
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7084676964
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