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:
- Learn how to stay compliant with IRB and ethical requirements when working with human subjects data;
- Craft better consent forms to allow for data share and reuse;
- Recognize and apply data de-identification techniques;
- Get started with free and campus-licensed tools to manage and analyze qualitative data;
- Identify data repositories and best approaches to share qualitative interview data.
To accomplish that, we will be using the following diagram as a
If you have comments or feedback, please use the issues repository feature
Renata Curty ([email protected]), Julien Brun and Greg Janée Research Data Services (RDS), UC Santa Barbara Library
This work is licensed under a Creative Commons Attribution 4.0 International License
Curty, Renata, Julien Brun, and Greg Janée. 2024. “Handling and Sharing Qualitative Data Responsibly and Effectively.” October 2, 2024. https://rcurty.github.io/qualdata-training.