Best practices

Research Support leads training sessions throughout the year to share best practices for data management and code development:

Research Skills

A set of sessions that take place each summer. Sessions are intended for predoctoral Research Fellows and first-year PhD students. Topics include reproducibility principles, Linux skills, automation skills, code abstraction, and testing. 

Research the Right Way

A series of topic-based sessions that take place periodically throughout the year. Each session takes a deep dive into an applied topic and shows how to apply the reproducibility principles to that topic. "Right Way" sessions also prepare researchers to meet stricter journal requirements for openness, replication, and data provenance. Topics include Web Scraping, Querying Large Datasets, and Data Use Agreements ... the Right Way.

PhD Guest Lectures

We can also present tailored best-practices training directly to your PhD elective courses. Examples of this include MKTG 531 (managing survey data and inserting results to papers programmatically), OPNS 523 (replicable R programming), and MECS 551 (issues related to health economics data.)