Module 1 Overview | DATASPHERES AI - Dataspheres AI

What to Expect This module covers the research workspace: what a datasphere is, how the three access roles map to a research team, the platform's security ...

What to Expect This module covers the research workspace: what a datasphere is, how the three access roles map to a research team, the platform's security and privacy architecture, and how to present both to an IRB. You will also tour the Create hub, the menu from which every research artifact in this course is produced. Module Learning Objectives By the end of this module, you will be able to: Describe the datasphere as a research container and identify what belongs inside it (CLO 1) Assign Owner, Moderator, and Participant roles to match a research team structure (CLO 1) Summarize the platform's access-control, storage, and audit mechanisms for a protocol document (CLO 1) Disclose third-party AI data flows and researcher responsibilities in IRB language (CLO 1) To-Do List Read: The datasphere as a research container Read: The Create hub Read: Security and privacy architecture - preparing for IRB review Complete: Module 1 quiz Your learning in this module is evaluated by the module quiz (pass mark 60%). Quizzes are untimed and autograded. In the sample study The AI in Academia datasphere is this module in practice: a public research workspace with roles, a Library, datasets, and published pages - open it side by side with this lesson and everything below has a live example.