Data governance has morphed into a catch‑all term covering quality, metadata, privacy, compliance, and digital strategy, creating ambiguity that blurs responsibilities and stalls decisions. A new resource, "What Is Data Governance? 30 Questions and Answers," builds on the Broadband Commission’s Data Governance Toolkit to clarify the concept. It defines governance as the processes, people, policies, practices, and technology that manage the data lifecycle to boost trust, value, and equity while reducing risk. The Q&A format links governance to related ideas such as stewardship, management, and compliance.
Artificial intelligence has surged up the ranks of elite forecasting tournaments, moving from obscurity in 2024 to challenging top human forecasters. These contests span geopolitics, economics, and pop culture, measuring pure predictive skill rather than domain expertise. Simultaneously, AI is...
The Data Checkup framework, launched by dataindex.us, offers a systematic way to evaluate the health of federal datasets across six risk dimensions. It moves beyond simple URL monitoring to assess historical and future availability, quality, statutory context, staffing, funding, and...