Interactive Network Visualizations for Opioid Research Data
Alaina DeVille
Undergraduate Researcher
Individualized Major Major (Luddy School of Informatics, Computing, & Engineering)
Sarayu Kalwa
Undergraduate Researcher
Finance Major (Kelley School of Business)
Olga Scrivner
Faculty Mentor
Olga Scrivner (Luddy School of Informatics, Computing and Engineering)
Project Description
Our goal is to update our collection of 120+ datasets (metadata = information about datasets) commonly used in opioid research and improve the current network visualizations which would provide a useful tool for a researcher or practitioner to search for data sources on opioid prescription, policies, health outcome. This work would allow a student to learn important data skills (collection, data visualization) and web development skills. In addition, we plan on designing a qualtrics survey (useful skill to learn also) to evaluate our visualization tool among researchers and practitioners.
Technology or Computational Component
First stage requires the use of Mendeley bibliographical software to update research collection on opioid. Second stage will involve learning data visualization skills (network, gephi) and third stage will be focused on web dev skills (html, css, javascript, python, github). Most of work has been done in the current stage and the student will be focusing on improving and re-deploying. The goal is to publish a paper and share openly the interactive web tool. To learn several technical skills (such as html, js, python), as student will be asked to dedicate some time to learn via assigned online coding practice.