This is a course blog for the classes on digital government and social media in the public sector" class taught by Professor Ines Mergel at the Maxwell School of Citizenship and Public Affairs, Syracuse University. The blog posts include comments and ideas from MPA, MAIR and EMPA students studying the use of new technologies in the public sector.
The Open Data Barometer aims
to uncover the true prevalence and impact of open data initiatives around the
world. It analyses global trends, and provides comparative data on countries
and regions via an in-depth methodology combining contextual data, technical
assessments and secondary indicators to explore multiple dimensions of open
data readiness, implementation and impact.
This is the second edition of
the Open Data Barometer, completing a two-year pilot of the Barometer
methodology and providing data for comparative research. This report is just
one expression of the Barometer, for which full data is also available,
supporting secondary research into the progression of open data policies and
practices across the world.
The Open Data Barometer forms part of the World Wide
Web Foundation’s work on common assessment methods for open data.
To create a global ranking, the World Wide Web Foundation aggregated the sub-indexes of the Open Data
Barometer. Comparing scores and ranks in the second edition with those in the
first can help to identify countries making progress, and those where progress
As this year’s Barometer covers 86 countries (compared with the 77
countries covered in 2013), a change in rank position may result both from new
countries entering the assessment above or below the score of a previously
included country, as well as from substantial changes to that country’s score.
It presents the global rankings of the Open Data Barometer,
including the overall Barometer score, as well as comparisons between the first
and second editions of the Barometer. You can sort and filter linked table, and
group by various facets, including country clusters, region and income level.
Scaled country scores are rounded to the nearest whole number before ranks are
assigned, meaning a number of countries receive tied rankings