Open Data

Open Data

Our Open Data project explores issues connected to the quality of open data and the growing trend of public authorities openly sharing sets of preprocessed data. In relation to quality, the project investigates the paradox that since metrics of quality tend to be user-relative, the very openness of open dataset often makes it difficulty to judge their quality. This is because they are aimed at no specific user, making it difficulty to decide on markers of quality.

One potential solution we explore is to enhance quality by publishing open data in linkable form using Semantic Web techniques. In relation to sharing of data sets by public authorities, our project has focused in particular on the case studies of data.gov and data.gov.uk, where governments have made datasets related to e.g. crime and criminal justice public in an attempt to promote trust, transparency, and availability of information. We investigate the procedures by which public data sets are preprocessed to avoid sensitive information being inappropriately shared, and evaluate the efficiency of these procedures and whether they successfully serve their purpose.

Publications
O'Hara, K. (2015).  Government open data and transparency: Oakeshott, civil association and the general will. Global Discourse. 5, 135-152.
Ceolin, D., Moreau L., O'Hara K., Fokkink W., Van Hage W. Robert, Maccatrozzo V., et al. (2014).  Two Procedures for Analyzing the Reliability of Open Government Data. (Laurent, A., Strauss O., Bouchon-Meunier B., & Yager R. R., Ed.).Information Processing and Management of Uncertainty in Knowledge-Based Systems: 15th International Conference, IPMU 2014, Montpellier, France, July 15-19, 2014, Proceedings, Part I. 15–24.
Omitola, T., Davies J., Duke A., Glaser H., & Shadbolt N. (2014).  Linking Social, Open, and Enterprise Data. Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14). 41:1–41:8.
O'Hara, K. (2014).  Enhancing the Quality of Open Data. (Floridi, L., & Illari P., Ed.).The Philosophy of Information Quality. 201–215.
Shadbolt, N. (2014).  Open Innovation and Open Data.
O'Hara, K. (2013).  Open data comes to market..
Shadbolt, N. (2013).  The Fifth Paradigm: From Open Data to Social Machines.
Ceolin, D., Moreau L., O'Hara K., Schreiber G., Sackley A., Fokkink W., et al. (2013).  Reliability Analyses of Open Government Data. Proceedings of the 9th International Conference on Uncertainty Reasoning for the Semantic Web - Volume 1073. 34–39.
O'Hara, K. (2012).  Data quality, government data and the open data infosphere.
O'Hara, K. (2012).  Transparency, Open Data and Trust in Government: Shaping the Infosphere. Proceedings of the 4th Annual ACM Web Science Conference. 223–232.
Shadbolt, N., O'Hara K., Berners-Lee T., Gibbins N., Glaser H., Hall W., et al. (2012).  Linked Open Government Data: Lessons from Data.gov.uk. IEEE Intelligent Systems. 27, 16-24.
O'Hara, K. (2012).  Transparency, Open Data and Trust in Government.