Data agnostic failures. "Data agnostic" platforms often fail to integrate complex systems and leave teams with inaccurate data and time-consuming workarounds. Essential data attributes. A complete, ...

Data is one of the most valuable assets for any organization, and the risk of that data being tampered with, stolen or deleted is a fundamental fear. Over the past decade, we've seen an increase in ...

The Libraries provide guidance for writing Data Management (and Sharing) Plans (DMPs or DMSPs), whether they are required as part of a grant proposal or written electively to support effective ...

Big data is continuing to proliferate at organizations, this time spurred by AI and machine learning within enterprise software tools, followed by advancements in software for managing unstructured ...