Got Data? 8 bright IDEAs for Chicago

Today I had the fortune of joining a group of civic entrepreneurs advancing data collaboration in Illinois. They introduced me to the 8 Principles of Open Government Data drafted in December 2007 at a California Summit. The Illinois effort – IDEA – Illinois Data Exchange Affiliates is concerned to promote civic engagement and better governance through collaborative data practices among non-profits/civic sector, gastritis research & planning efforts and all layers of government. This is where Digital Excellence meets eGovernment.

got data?

If Chicago is a world-class city in a leading region of the nation, unhealthy what are we waiting for? If we are ready to embrace the information age I don’t know what could make us more globally competitive than to remove the artificial barriers to information exchange in city and county. I hear tell there is a committee on data sharing among departments of Chicago city government. I look forward to hearing what progress they have made thus far and how aggressive they intend to be with regard to unfolding a new era in accountability and transparency. Someone, ping Hardik.

Good data is about feedback. Feedback regulates an organism or process. Here it would inform individual choice and guide regional planning. We all know the Mayor loves to have city services on the ball when it comes to potholes and attention to the visible amenities. These eight principles would allow Chicago to set new benchmarks for service delivery and quality of life. You don’t have to be an XML geek to grok this.

Open Government Data Principles

Government data shall be considered open if it is made public in a way that complies with the principles below:

1. Complete
All public data is made available. Public data is data that is not subject to valid privacy, security or privilege limitations.

2. Primary
Data is as collected at the source, with the highest possible level of granularity, not in aggregate or modified forms.

3. Timely

Data is made available as quickly as necessary to preserve the value of the data.

4. Accessible
Data is available to the widest range of users for the widest range of purposes.

5. Machine processable
Data is reasonably structured to allow automated processing.

6. Non-discriminatory
Data is available to anyone, with no requirement of registration.

7. Non-proprietary

Data is available in a format over which no entity has exclusive control.

8. License-free
Data is not subject to any copyright, patent, trademark or trade secret regulation. Reasonable privacy, security and privilege restrictions may be allowed.

Compliance must be reviewable.

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