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

A datasphere is your study's single container: recordings, transcripts, codes, datasets, reports, decks, and your team all live in one place, permission-g...

A datasphere is your study's single container: recordings, transcripts, codes, datasets, reports, decks, and your team all live in one place, permission-gated. This is what lets a five-country study feel simple - nothing lives in scattered drives or spreadsheets. Set up like a research team Owner/Admin - principal investigators: manage members, publish, configure. Moderator - research assistants and coders: upload, transcribe, code, build datasets. Participant - collaborators who read, discuss, and take courses like this one. Public/private controls and the three-role model - decide who can see and touch research data. IRB-friendly by structure Keep the datasphere private during collection and analysis. Consent PDFs live beside their recordings. Publish only aggregate artifacts (reports, decks) - and only when you choose. Every AI action is billed, logged, and attributable to a member.