The Basics of Data Integrity

We often talk about making data FAIR (findable, accessible, interoperable, and reusable), but what about data accuracy, reliability, and consistency? Research data are constantly being moved through stages of collection, storage, transfer, archiving, and destruction. This movement comes at a cost, as files stored or transferred incorrectly may be unusable or incomplete. This session will cover the basics of data integrity, from collection to validation.