Theory and practice of linked open statistical data

Efthimios Tambouris, Evangelos Kalampokis, Marijn Janssen, Ricardo Matheus, Paul Hermans, Tarmo Kalvet

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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Abstract

The number of Open Statistical Data available for reuse is rapidly increasing. Linked open data technology enables easy reuse and linking of data residing in different locations in a simple and straightforward manner. Yet, many people are not familiar with the technology standards and tools for making use of open statistical data. In this tutorial, we will introduce Linked Open Statistical Data (LOSD) and demonstrate the use of LOSD technologies and tools to visualize open data obtained from various European Countries. We will also give the participants the opportunity to use these tools thus obtaining a personal experience on their capabilities.

Original languageEnglish
Title of host publicationProceedings of the 19th Annual International Conference on Digital Government Research
Subtitle of host publicationGovernance in the Data Age, DG.O 2018
PublisherAssociation for Computing Machinery (ACM)
ISBN (Electronic)9781450365260
DOIs
Publication statusPublished - 30 May 2018
Event19th Annual International Conference on Digital Government Research: Governance in the Data Age, DG.O 2018 - Delf, Netherlands
Duration: 30 May 20181 Jun 2018

Conference

Conference19th Annual International Conference on Digital Government Research: Governance in the Data Age, DG.O 2018
CountryNetherlands
CityDelf
Period30/05/181/06/18

Keywords

  • ICT Tools
  • Linked Open Data
  • Linked Open Statistics

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    Tambouris, E., Kalampokis, E., Janssen, M., Matheus, R., Hermans, P., & Kalvet, T. (2018). Theory and practice of linked open statistical data. In Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age, DG.O 2018 [a130] Association for Computing Machinery (ACM). https://doi.org/10.1145/3209281.3209341