The datasphere as a research container | DATASPHERES AI - Dataspheres AI

Supports Module 1 objectives; aligned to CLO 1. A datasphere is the container for one study. Recordings, transcripts, codes, datasets, reports, presentatio...

Supports Module 1 objectives; aligned to CLO 1. A datasphere is the container for one study. Recordings, transcripts, codes, datasets, reports, presentations, and team membership are stored and permission-controlled in one place. Roles Owner / Admin — principal investigators. Manage membership, publication, and configuration. Moderator — research assistants and coders. Upload, transcribe, code, and build datasets. Participant — collaborators with read and discussion access. Public/private controls and the three-role model - decide who can see and touch research data. IRB alignment Keep the datasphere private during collection and analysis. Store consent documents beside their recordings. Publish only selected aggregate artifacts. All AI operations are logged, billed, and attributable to a member account.