Big Data Governance

However large and complex Big Data ultimately emerges to become in terms of data volume, velocity, variety and variability, Big Data Governance will in some important conceptual and actual dimensions be much larger. Data Governance will need to persist across the data lifecycle; at rest, in motion, in incomplete stages and transactions all the while serving the privacy and security of the young and the old, individuals as companies and companies as companies—to be an emergent force for good. It will need to insure economy, and innovation; enable freedom of action and individual and public welfare. It will need to rely on standards governing things we do not yet know while integrating the human element from our humanity with strange new interoperability capability. Data Governance will require new kinds and possibilities of perception yet accept that our current techniques are notoriously slow. For example, even as of today we have not yet scoped-in data types.

The reason we, so many of us, are gathering our energies and the multiplexity of our perspectives is that we know Big Data without Big Data Governance will be less likely to be a force for good. It may come to be said that the best use of Big Data is Big Data Governance.

What concept or concepts are powerful enough to organize, cohere and form an actionable way forward? Are we brave enough to push forward a few concepts for our discussion?  Some think data provenance, curation and conformance are the way forward. I agree with those that think this ground deserves a fifth V — Value.