All in Project 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.
Still, knowing that data exist – which is what the inventories will tell us — is not the same as accessing and interpreting the data. Even assuming the public eventually gains access to the inventoried data, we’ll still need contextual information about the programs described by the data and measurement of the impacts these programs have.

Open Data Management at the U.S. Environmental Protection Agency (EPA)

Much of what the EPA staff talked about involved processes and activities that are necessarily associated not only with “open data” but with any data intensive business process. Data must be managed. Systems that share data need to be coordinated. Resources need to be allocated and shared. Such requirements are not unique to “open data” but are universally relevant.