Sample data: structuring a study intake | DATASPHERES AI - Dataspheres AI

Supports Module 2 objectives; aligned to CLO 2. Reference intake structure for an interview study: my-study/ Consent forms/ one PDF per participant, named ...

Supports Module 2 objectives; aligned to CLO 2. Reference intake structure for an interview study: my-study/ Consent forms/ one PDF per participant, named to match the recording Interviews/ "3 interview - SiteName.m4a" - sequence + site in the name Focus groups/ one file per session Survey exports/ CSV exports (Module 5) File names carry metadata. A name such as 4 interview - Turkey supplies site and sequence fields for later datasets. Duplicate uploads are detected by name and size; a consistent scheme reduces cleanup. For longitudinal designs, participant journals provide private, prompt-guided entries; analysis reads only what the study design permits. The sample study: AI in Academia The course now ships with a live sample workspace: the AI in Academia datasphere - a 42-item verified corpus of lectures, debates, and podcast episodes on AI's effects in higher education, already carried through the full workflow. Start with the corpus guide , read the codebook , then study the findings - and in Module 4 you'll recode part of the claims matrix yourself.