All in Data Program Management

Managing Data-Intensive Programs and Projects: Selected Articles

I’ve created this special compendium of posts that are relevant to planning and managing data related programs and projects. There are four groups:

Dashboarding Open Data Program Governance

A key feature of the Project Open Data effort being managed by OMB and OSTP is that so much of it is being conducted in the open using accessible resources such as shared documentation, a defined metadata schema, and use of GitHub for capturing comments and issues. Agencies that want to involve private sector vendors in their open date efforts should consider the use and management of such tools as a required part of program governance and oversight (as long as sufficient staff and resources are provided to manage such efforts, of course).

Risk, Uncertainty, and Managing Big Data Projects

Anyone who practices project management for a living will recognize this list. It’s certainly not unique to big data analytics project. It is however reasonable to ask whether “big data” projects are unique in some way that exacerbates the probability of failure.

Getting Real About “Open Data” Part II

When it comes to the “open” data associated with the program, some users will want raw data to do their own thing, some will be satisfied with self-service tools that allow them to interact with the data in various structured or defined ways, and others will be more comfortable relying on the services of intermediaries that understand the data, the tools, and are qualified to interpret the information requirements of those they serve.

Recommendations for Collaborative Management of Government Data Standardization Projects

Standardizing how the U.S. government collects, manages, and publishes budget and expenditure data, as required by the DATA Act currently before the U.S. Congress, is an example of a long-term and complex project. It will be require careful planning, management, and sufficient resources to be successful.

The Changing Culture of Big Data Management

In some ways managing “big data” tools and processes is no different than figuring out how to manage any other type of technological innovation. The technology is introduced, experts emerge and help control and shape evolving practical applications, and management eventually figures out what is worth keeping and what can be discarded.