Reproducibility, ethics, and your next study | DATASPHERES AI - Dataspheres AI

Audit trail end-to-end: recording → transcript → coded quote → dataset row → chart → slide. Any reviewer can walk the chain. Ethics posture: private by d...

Audit trail end-to-end: recording → transcript → coded quote → dataset row → chart → slide. Any reviewer can walk the chain. Ethics posture: private by default; consent stored with data; AI actions logged and role-gated; publish aggregates deliberately; flag machine-draft material instead of laundering it. Automate respectfully: everything in this course is also available to ARI (the in-platform assistant) and a REST API - batch transcription, coding passes, dataset builds, deck updates - with the same permissions and audit trail. Set up your own datasphere, copy the Module 2 intake structure, and run your next study with the whole pipeline in one place. Pass the final quiz to earn your certificate.