Data governance controls all elements of company data, including how it's managed, mined, analyzed, protected, gathered, and stored.

Optimal data governance has several potential impacts on maintaining and continually improving an organization's customer experience.

The potential policy and practice examples can be replicated for governments with varied maturity levels related to data governance.

From the Human Genome Project to large-scale initiatives like the UK Biobank and The Cancer Genome Atlas (TCGA), the recent ...

The volume and variety of available institutional data resources have grown exponentially over time. Concurrently, the strategic relevance of these data continues to broaden. Together, these trends ...

Governance demands more than just restricting who can see what; it also requires making sure that people are using data consistently.

This guide explores the basics of data governance in healthcare and explores why world leaders need to develop an authoritative framework for it.

A new report from the Center for Digital Government uncovers how states are approaching key issues like cybersecurity, ...

Guiding Principles In general, publicly reported data will be made readily available. How the data are used is an important consideration in questions of access: what is the benefit of its use in ...

Is it better to monitor for quality or detect problems? It depends. Here's how to choose between active and passive data governance.