
Governments around the globe are opening up public spending data in order to promote transparency and citizen awareness. However, data openness by itself is not enough to guarantee that the data is consumed efficiently and in meaningful ways. In this work public spending data from seven governments, both local and national, with total value almost 1,5 trillion euro, are processed, cleansed and converted to Linked Open Data, following best practices. Namely, the cases of Greece, the UK, the US federal government, Australia, the city of Chicago and the states of Alaska and Massachusetts are considered. Furthermore, the resulting Linked Data are interlinked with external resources and made accessible on a public SPARQL endpoint. A web portal application with several functionalities is deployed in order to make the data mashups understandable and easily consumable.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 6 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
