contains government spendings from all over the world as Linked Data.
LinkedSpending uses the information collected by the OpenSpending project
and makes it available as an RDF knowledge base according to the Linked Data principles. Just follow the examples on the right or discover the data by yourself!
DataSet Version 2014-3 now online! Version 0.1 is still available as download.
Transparency into government spending is in high demand from the public.
Open spending data has the power to reduce corruption by increasing accountability and strengthens democracy because voters can make better informed decisions.
An informed and trusting public also strengthens the government itself because is more likely to commit to large projects.
We present LinkedSpending which provides more than 2 million planned and carried out financial transactions from all over the world from 2005 to 2035 as Linked Open Data.
This data is represented in the RDF data cube format and is freely available and openly licensed.
The example visualizations show the proportion of the different categories of the budget of Romania of 2013
and greek spending on police in certain regions in 2012
Apart from to standard vocabularies such as
the datasets are modelled, first and foremost, according to the RDF Data Cube vocabulary
LinkedSpending follows the RDF Data Cube recommendation to make heavy use of the model of the Statistical Data and Metadata eXchange (SDMX) initiative
for measures, attributes and dimensions.
The deep structure of the datasets is very heterogeneous but there are some properties which are commonly specified and thus modelled with established vocabularies.
The year and date, a dataset and an observation refer to, respectively, is expressed by
Dates are handled by the XSD vocabulary, currencies are taken from DBpedia and countries are represented using the vocabulary of LinkedGeoData
, which is the main hub for spatial linked data.