In addition to browsing the data with the help of the four visualisation tools
(where you can download the data used to create the chart in CSV and RDF), you are able to download the
whole database in XLS, CSV and SQL. In the near future the complete database will be provided as a graph in
RDF for download. Furthermore a Linked Data -/ SPARQL endpoint to explore the data directly will be created.
The database with the selected indicators of the Digital Agenda Scoreboard is made of three tables:
- a data table, with codes for the indicators, countries, years and values
- an indicators table, with labels for indicators' codes, definition and scope, and a source code
- a sources table, with details about sources and links to more methodological information
The codes allow the creation of relations between the tables.
The following xls file contains all the three tables:
There is a csv file for each one of the basic tables of the database:
There is a sql file for each one of the basic tables of the database:
The digital scoreboard data is accessible as linked open data in RDF following the DataCube vocabulary.
DataCube standarizes the publishing of statistical information on the semantic web. It bases itself on
other standards like SDMX.
In the DataCube vocabulary, an observation is a valuepoint in the datacube. Here an observation represents
the value for one indicator for a country and a year. The indicator is the measure while the country and
the year are the dimensions in the datacube.
If an observation is not present for a combination the data has not been collected.
Each observation comes with additional information such as the unit.
There are rdf files in different notations containing the full DataCube:
The published digital scoreboard RDF data can be queried online via the
SPARQL editor (human readable) or
SPARQL endpoint (for machines regarding the SPARQL protocol for RDF).
This SPARQL endpoint offers a public service to the statistical data allowing anyone to build applications based on the most recent