opengovintelligence

Improving public services with multidimensional statistical data

Coordinating person: Prof. Konstantinos Tarabanis, Centre for Research & Technology - Hellas (CERTH).
Contact: hello@opengovintelligence.eu

Conference Papers

Open Statistics: The Rise of a new Era for Open Data?

A large part of open data concerns statistics, such as demographic, economic and social data (henceforth referred to as Open Statistical Data, OSD). In this paper we start by introducing open data fragmentation as a major obstacle for OSD reuse. We proceed by outlining data cube as a logical model for structuring OSD. We then introduce Open Statistics as a new area aiming to systematically study OSD. Open Statistics reuse and extends methods from diverse fields like Open Data, Statistics, Data Warehouses and the Semantic Web. In this paper, we focus on benefits and challenges of Open Statistics. The results suggest that Open Statistics provide benefits not present in any of these fields alone. We conclude that in certain cases OSD can realise the potential of open data.

PDF, 975k
http://dx.doi.org/10.1007/978-3-319-44421-5_3

Co-creating an Open Government Data Driven Public Service: The Case of Chicago’s Food Inspection Forecasting Model

Large amounts of Open Government Data (OGD) have become available and co-created public services have started to emerge, but there is only limited empirical material available on co-created OGD-driven public services. To address this shortcoming and explore the concept of co-created OGD-driven public services the authors conducted an exploratory case study. The case study explored Chicago’s use of OGD in the co-creation of a predictive analytics model that forecasts critical safety violations at food serving establishments. The results of this exploratory work allowed for new insights to be gained on co-created OGD-driven public services and led to the identification of six factors that seem to play a key role in allowing for a OGD-driven public service to be co-created. The results of the initial work also provide valuable new information that can be used to aid in the development and improvement of the authors’ conceptual model for understanding co-created OGD-driven public service.

McBride, K.; Aavik, G.; Kalvet, T.; Krimmer, R. (2018). Co-creating an Open Government Data Driven Public Service: The Case of Chicago’s Food Inspection Forecasting Model. Proceedings of the 51st Hawaii International Conference on System Sciences: 51st Hawaii International Conference on System Sciences (HICSS), 3-7 January, 2018. IEEE Computer Society Research Gate publication 319165737

The Role of Linked Open Statistical Data in Public Service Co-Creation

Linked Open Statistical Data (LOSD) and Open Government Data (OGD) are believed to contain the capability to drive the creation of new and innovative public services and provide increased levels of public value. It has also been proposed that these technologies have the potential to change the relationship between traditional public service providers and public service users by allowing any stakeholder to co-create a new service. There is currently a limited amount of empirical work demonstrating how LOSD and OGD may be exploited by non-traditional stakeholders to co-create new data-driven public services. As part of the Horizon2020 funded OpenGovIntelligence (OGI) project, six pilots are being conducted in six different EU countries (Belgium, Estonia, Greece, Ireland, Lithuania, and UK) that aim to demonstrate how OGD and LOSD may be exploited and lead to co-created data-driven public services. The aim of this ongoing research paper is to provide an overview of the OGI co-creation framework and methodology as well as present the current stage of the six different pilots and how OGD/LOSD has thus far allowed for co-creation to take place and public value to be created.

McBride, K.; Matheus, R.; Toots, M.; Kalvet, T.; Krimmer, R. (2018). The Role of Linked Open Statistical Data in Public Service Co-Creation. In: Ojo, A.; Kankanhalli, A.; Soares, D. (Ed.). Proceedings of the 11th International Conference on Theory and Practice of Electronic Governance (679−681).11th International Conference on Theory and Practice of Electronic Governance, National University of Ireland Galway, 2018. Galway, Ireland: ACM. Research Gate publication 322235606

Open Government Data Driven Co-Creation, Moving Towards Citizen-Government Collaboration

It is believed that co-creation may lead to public service quality improvements, the provision and creation of new and innovative services, and bring public service providers closer to their service users. There has been an increased interest and focus on how new technological innovations are enabling and facilitating co-creation; one such digital innovation is open government data (OGD). This paper examines a relatively new concept, that of co-created OGD-driven public services and aims to understand how the availability and exploitation of OGD to co-create new public services allows service users to become collaborators rather than customers of public service providers. An exploratory case study is conducted on a pilot project within Estonia where a new public service has been co-created through the exploitation of OGD. The initial results show that in order for an OGD-driven public service to be effectively co-created, a new understanding of the role of stakeholders is needed.

McBride, K.; Kalvet, T.; Toots, M.; Krimmer, R. (2018). Open Government Data Driven Co-Creation, Moving Towards Citizen-Government Collaboration. IFIP EGOV-CeDEM-ePart 2018 Proceedings: EGOV-CeDEM-ePart 2018, Danube University Krems, Septermber, 2018. Springer. ( Lecture Notes in Computer Science) Research Gate publication 326060121

Publications

Linked Open Cube Analytics Systems: Potential and Challenges IEEE Intelligent Systems

Linked Open Cube Analytics (LOCA) systems enable the performance of analytics on top of multiple open statistical data (OSD) that reside in disparate portals. We present OSD's potential and highlight the problems hampering its integration and reuse. To overcome these problems, we introduce an approach for OSD integration. The proposed approach capitalizes on the data cube model and linked data technologies to enable unified access to multiple OSD published in disparate portals. Finally, we present an online analytical processing (OLAP) browser for linked data cubes as a proof of concept of LOCA systems. Throughout this article, we also outline the challenges that need to be addressed for the wide adoption of LOCA systems.

E. Kalampokis, E. Tambouris, K. Tarabanis (2016) Linked Open Cube Analytics Systems: Potential and Challenges IEEE Intelligent Systems, Vol. 31, No.5, pp.89-92 http://dx.doi.org/10.1109/MIS.2016.82

Linked data cubes: Research results so far

During the last years a growing body of literature studied Linked Data Cubes. The objective of this paper is to accumulate this body of knowledge and provide a preliminary analysis of the research re- sults in the area so far. Towards this end, we systematically reviewed the scientific literature to identify relevant studies. These studies were anal- ysed and synthesised in the form of a proposed conceptual framework, which was thereafter applied to further analyse this literature, hence gaining new insights into the field. The framework comprises three di- mensions, namely category of contribution, step of data analysis, and application area. The application of the framework resulted in interest- ing findings. For example, the majority of the contributions that focus on publishing linked data cubes are cases while the majority of the ex- ploitation contributions are software tools. Moreover, integration of data cubes remains largely unexamined in the literature. This paper, however, does not present the final results of the analysis of the literature as this is still an ongoing activity.

A. Karamanou, E. Kalampokis, E. Tambouris, K. Tarabanis (2016) Linked data cubes: Research results so far, SemStats2016 in conjuction with the 15th International Semantic Web Conference (ISWC2016), 17-21 October 2016, Kobe, Japan, CEUR-WS

Open Statistical Data: Potential and Challenges

Opening up data is a political priority worldwide. Linked open data is considered as the most mature technology for publishing and reusing open data. A large number of open data is numerical and actually concerns statistics. In the literature, statistical data have been heavily studied using the data cube model. Recently, ICT tools have emerged aiming to exploit linked open data technologies for providing advanced visualizations and analytics of open statistical data residing in geographically dispersed open data portals. The aim of this panel is to discuss the potential and challenges of open statistical data.

E. Tambouris, M. Janssen, E. Kalampokis, B. Roberts, P. Hermans, J. Whyte, T. Alcorn, K. Tarabanis (2016) Open Statistical Data: Potential and Challenges, Scholl, H. et al. (Eds.): Electronic Government and Electronic Participation, pp. 407-408, IOS Press http://doi.org/10.3233/978-1-61499-670-5-407

Turning Open Government Data into Public Value: Testing the COPS Framework for the Co-Creation of OGD-Driven Public Services

A book chapter about open data and co-creation building on our OGI pilots’ experience is currently in press:

McBride, K.; Toots, M.; Kalvet, T.; Krimmer, R. (2018). Turning Open Government Data into Public Value: Testing the COPS Framework for the Co-Creation of OGD-Driven Public Services. In: M. P. Rodriguez Bolivar, K. J. Bwalya, C. Reddick (Ed.). Governance Models for Creating Public Values in Open Data Initiatives. Springer. (Public Administration and Information Technology)