Fostering collaboration through innovative data sharing using Quarto/R Markdown based websites

Oregon Convention Center 

It is well known that open data sharing (such as raw csv, Excel or pdf files) contributes to new collaboration and promotes reproducibility and improved analysis.
Instead of sharing just the data set and codebook, we propose publishing a full exploratory data analysis using graphs and explanatory text on a Quarto/R Markdown based website. This in-depth data presentation/visualization provides researchers from various disciplines a clear, accessible and more efficient way to navigate through numerous variables, survey questions and the results. The data set used in this example is from the statewide Basic Needs Student Success Survey, administered by the Center for Healthy Communities, the Prime Contractor for basic needs services on over 50 CA campuses.
These efforts have helped spark collaboration among researchers across the nation, leading to further analyses, publications, and impact. This approach can also provide a hands-on learning experience for undergraduate students to implement their classroom-derived data handling knowledge in a real world setting.
In this presentation we will present the methods, integrations and lessons learned from sharing data in this manner.

Collaboration

Data Sharing

Visualization

Survey Data 

Health Policy Statistics Section