A sudden turn-off of digital access to government services — as might be required by the agency shutdown — must at minimum be figured into the risk management planning of any organization planning to offer or use products or services that are dependent on government-sourced open data.
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Entries in Project Management (112)
I was certainly not surprised that the best movie I saw in 2014 – Interstellar — was not nominated for Best Picture.
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.
As the specter of a shutdown of the US Department of Homeland Security (DHS) begins to loom large, my thoughts turn again to how such a shutdown will impact projects and project managers at DHS (other than the obvious impacts of increasing taxpayer costs and disrupting scheduled public services, of course).
Knowing An Organization’s Data Management Maturity Helps Promote Effective Open Data Program Planning
Each data element in a data asset inventory has its own “lifecycle” that when properly managed provides a framework for tracking and optimizing how data are used from creation through obsolescence.
Policy and theory are great but only usefulness and impact lead to real sustainability.
In this post a dive a little deeper into the topic of “open data usefulness.”
I learned last night at the latest Open Data Leaders Meetup in Washington D.C. that they really are serious about “open data” at the United States Agency for International Development (USAID).
At last night’s Open Data Enthusiasts meeting in Washington DC, Chris Whong of Socrata talked about the CityGram NYC system.
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.