The Data Purge tool enables you to create data sets which you can purge or store as archived files. A data set is a collection of individual information items you can group together because they all share a common attribute. For example, Assignments, Grades, Quizzes, Announcements, and Homepages all belong to an Org Unit. An Org Unit data set contains all of these components' data and files information.
Data Purge helps you archive data, reclaim system storage space, and manage records according to your institution's data retention policies. Before you archive or purge data, you should review the data in the purge set for potential issues (such as courses that are currently in use). Once processed, purged data sets cannot be restored. You can only access archived data sets from the designated file location. You cannot store or purge root org units such as your entire organization. Data Purge does not process data sets that contain Org level IDs.
You can create the following data set types in the Data Purge tool:
- Org Unit data set - Can contain course materials (such as Content), user activity (such as Discussions, Quizzes, Grades, Assignments, Checklist), and files in the course path.
- User data set - Can contain profile information, activity log, emails, locker files, Assignments Turnitin data, user enrollment, and user collections.
- Instance data set - Can contain orphaned information and data that does not belong to categories in Org Unit data or User data. For example, orphaned questions in Question Library would belong to an Instance data set. To purge an instance, contact D2L Support.