All in Transparency
Interim Report on the Generalizability of the NOAA Big Data Project’s Management Model
It’s good to see the Federal government and private sector working together to create value from data that might not be realized were its use restricted only to specifically funded and legislated programs.
Do People Really Understand What “Open Data” Means?
Ultimately the most important issue has to come down to deciding what level of data literacy citizens need. As the production and consumption of goods and services become more data-dependent in both developed and developing countries, it is reasonable to ask how much understanding of data and data related decisions people really need. I’ve referred to this elsewhere as data management literacy. Maybe we also need to consider data consumption literacy. After all, if people don’t understand or appreciate the services we’re providing, no amount of standardization, interoperability, or transparency is going to make any difference.
NOAA’s Big Data Project Comes Into Focus
What’s different about this newly announced NOAA program is not just the potential “big data” scope of the program but the way in which private sector cloud vendors are involved as intermediaries not only to the public but also to potential data vendors and resellers.
Is Making the CFPB’s Consumer Complaint Database More "Open" Good Or Bad?
Realistically it’s also impossible to control what people say online about companies. Just type the name of any large company into the Google search engine followed by the word “sucks” and you’ll see what I mean.
Using Internet Related Economic Development Goals to Drive Open Data Strategy
While there may be significant capacity issues related to Internet and data access in developing countries, it’s impossible to ignore the disruptive and competitive landscape changes the growing Internet use offers wherever existing industries are adopting — or are being threatened by — web based developments. It make sense for at least some of open data program planning to reflect those realities.
Thoughts on Project Goliath and the MPAA’s “War Against Google”
Once we allow one industry to carve out exemptions and then streamlinine how certain files can be removed from the web, what’s to keep other industries from proposing more categories of information that can be blocked in advance?
CityGram NYC: A Model for Open Data Efforts
At last night’s Open Data Enthusiasts meeting in Washington DC, Chris Whong of Socrata talked about the CityGram NYC system.
While it is true that a platform such as GitHub is not really designed to be as user friendly as, say, Facebook, the fact is that the sharing of technical expertise among mid-level IT staff and data administrators in different governmental agencies has probably been at least as important to open data progress as the Administration’s top down support.
Management Needs Data Literacy To Run Open Data Programs
Whether you have useful information stored in documents or in data sets you also need at some point to have the ability and skill to manage or at least understand the processes involved in gathering and analyzing the data.
Data Transparency Needs Data Strategy!
We want systems and processes to be more effective and transparent, we want to be able to take advantage of improved standards and technologies when they make sense — but we also need to balance the cost benefits of change in a fiscally austere and change resistant environment.
While a central program management operation can define detailed technical requirements, technical approaches, and management tools, implementation work needs to be occurring locally – while the “train is still running.” How this overall governance process is managed will determine how long DATA Act implementation takes, how much it costs, and whether or not it is successful.
Getting Real About "Open Data”
If the “geeks” on your team understand all this that’s great. If not, you need to seek out and involve other areas of expertise, starting with people who understand what enhanced data services can do for your target users and the problems you are trying to solve.
Data Standardization Scores and Changing the DATA Act
The basic ideas behind the DATA Act’s focus on financial data standardization makes such eminently good sense that efforts to weaken such standardization should be carefully and openly assessed. Fundamentally, data standardization if managed well can reduce costs, improve data manageability, reduce errors, and improve communication. Implementing data standards can also improve how date transparency efforts are supported as long as the people who operate the underlying systems want to be more transparent.