Repository files navigation

This website aims to help researchers better and more ethically manage and share qualitative data from human subjects research.

This course is designed to help you navigate best data management practices throughout the research data lifecycle while working with qualitative data from human subjects. A running example using a toy dataset will allow you to practice some of the concepts you learn and provide more concrete application examples.

Among other things, by the end of this self-pacing course, learners should expect:

1. Learn how to stay compliant with IRB and ethical requirements when working with human subjects data;
2. Craft better consent forms to allow for data share and reuse;
3. Recognize and apply data de-identification techniques;
4. Articulate important concepts and considerations regarding interview data;
5. Get started with free and campus-licensed tools to manage and analyze qualitative data;
6. Identify data repositories and best approaches to share project deliverables.

Although the current project example focuses on interview data, we anticipate expanding to include a variety of research designs and data types in future iterations, as well as other software applications. Still, many of the techniques and recommendations outlined can be applied to other data types, ensuring broader applicability across diverse projects.

If you have comments or feedback, please use theissues repository feature

Renata Curty (rcurty@ucsb.edu), Julien Brun and Greg JanéeResearch Data Services (RDS), UC Santa Barbara Library

This work is licensed under aCreative Commons Attribution 4.0 International License