2013-10-30

(This article was originally published at Blog about Stats, and syndicated at StatsBlogs.)

There are lots of indexes.

The most famous one may be the  Index Librorum Prohibitorum  listing books prohibited by the cathoilic church. It contained eminent scientists and intellectuals (see the list in Wikipedia) and was abolished after more than 400 years in 1966 only.

Open Data Index

One index everybody would like to be registered in and this with a high rank is the Open Data Index.

‘An increasing number of governments have committed to open up data, but how much key information is actually being released? …. Which countries are the most advanced and which are lagging in relation to open data? The Open Data Index has been developed to help answer such questions by collecting and presenting information on the state of open data around the world – to ignite discussions between citizens and governments.’



‘The Open Data Index is an initiative of the Open Knowledge Foundation based on contributions from open data advocates and experts around the world. …. The Open Data Index is a community-based effort initiated and coordinated by the Open Knowledge Foundation with participation from many different groups and individuals. The Open Data Census, upon which the Open Data Index is based, was launched in April 2012 to coincide with the OGP meeting in Brasilia.’
See also http://blogstats.wordpress.com/2013/06/15/open-data-census/

‘The 2013 Open Data Index launches just before the Open Government Partnership summit in London, at a time when governments and civil society meet to make commitments, monitor progress, and plan for greater open government and transparency around the world.’ (more).

Country Comparison



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Country Details: Switzerland



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‘What criteria matters in the assessment of the datasets?’

‘When submitting a dataset, there is a list of questions to answer about the availability and openness of the datasets. These answers appear in the Country overview page for each country:

Question

Details

Weighting

Does the data exist?

Does the data exist at all? The data can be in any form (paper or digital, offline or online etc). If it is not, then all the other questions are not answered.

5

Is data in digital form?

This question addresses whether the data is in digital form (stored on computers or digital storage) or if it only in, for example, paper form.

5

Publicly available?

This question addresses whether the data is “public”. This does not require it to be freely available, but does require that someone outside of the government can access it in some form (examples include if the data is available for purchase, if it exist as PDFs on a website that you can access, if you can get it in paper form – then it is public). If a freedom of information request or similar is needed to access the data, it is not considered public.

5

Is the data available for free?

This question addresses whether the data is available for free or if there is a charge. If there is a charge, then that is stated in the comments section.

15

Is the data available online?

This question addresses whether the data is available online from an official source. In the cases that this is answered with a ‘yes’, then the link is put in the URL field below.

5

Is the data machine readable?

Data is machine readable if it is in a format that can be easily processed by a computer. Data can be digital but not machine readable. For example, consider a PDF document containing tables of data. These are definitely digital but are not machine-readable because a computer would struggle to access the tabular information (even though they are very human readable!). The equivalent tables in a format such as a spreadsheet would be machine readable. Note: The appropriate machine readable format may vary by type of data – so, for example, machine readable formats for geographic data may be different than for tabular data. In general, HTML and PDF are not machine-readable.

15

Available in bulk?

Data is available in bulk if the whole dataset can be downloaded or accessed easily. Conversely it is considered non-bulk if the citizens are limited to just getting parts of the dataset (for example, if restricted to querying a web form and retrieving a few results at a time from a very large database).

10

Openly licensed?

This question addresses whether the dataset is open as per http://opendefinition.org. It needs to state the terms of use or license that allow anyone to freely use, reuse or redistribute the data (subject at most to attribution or sharealike requirements). It is vital that a licence is available (if there’s no licence, the data is not openly licensed). Open Licences which meet the requirements of the Open Definition are listed at http://opendefinition.org/licenses/.

30

Is the data provided on a timely and up-to-date basis?

This question addresses whether the data is up-to-date and timely – or long delayed. For example, is election data made available immediately or soon after the election, or is it only available many years later? Any comments around uncertainty are put in the comments field.

10

URL of data online?

The link to the specific dataset if that is possible. Otherwise to the home page for the data. If that is not possible, then the link to main page of site on which the data is located. Only links to official sites are eligible, not third party sites. When it is necessary for submitters to provide third party links, then they are put in the comments section.

Date the data became available?

This question describes when the data first became openly available (online, in digital form, openly licensed etc). Sometimes this is approximate. For example, “2012″ or “Jan 2012″. If there is a precise date, then they are typed in in a yyyy-mm-dd format.

If the data is not open, then this question will instead describe the date the data first became available at all. (Note: some open data will have been available in other forms previously, so the date specified here is the date it became openly available).

Format of data?

This question describes the form that the data is available in. For example, for tabular data it might be: Excel, CSV, HTML or even PDF. For geodata it might be shapefiles, geojson or something else. If available in multiple formats, the format descriptors are listed separated with commas. Any further information is put in the comments section.’

For Switzerland Timetables (of major government operated (or commissioned) *national-level* public transport services (specifically bus and train))

and National government budget (at a high level (e.g. spending by sector, department etc)) are less open.

Data from swisstopo and Statistics Switzerland (partially thanks to the new opendata.admin.ch/ portal) have most criteria in green, the main question lies in licensing (not freely available, not free for commercial use).

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Featured Visualisation: An example how to present Open Data

‘NYC Open Data Site Finder

This interactive graphic, inspired by Chris Whong’s d3.js network diagram, allows users to access every link in the NYC Open Data site. Hover over a circle in the packed bubble chart to see link info, and click on a circle to access the site in a new browser tab. Use the bar charts and filters to focus your view.’

Filed under: 031 Data visualization, 037 Open data initiatives, Switzerland Tagged: okfn, open data index

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