Mediating Open Data Consumption - Identifying Story Patterns for Linked Open Statistical Data
Pages 156 - 163
Abstract
Statistical data account for a very large proportion of data published on open data platforms. This category of data are which are often of high quality, value and public interest; are gradually being published as 5-star linked open statistical data or data cubes (LOSD) for easy integration and cross-border comparability. However, publishing open data as linked data (i.e. graph oriented) significantly increases the technical skill requirements for end-user consumption. We address this problem by mediating the exploration and analysis of LOSD published on open data platforms through the use of data stories. After providing the requisite background information on LOSD, we identified data story patterns from extant literature and show how these patterns can be employed in analysing LOSD. Subsequently, we provide a case study to illustrate the use of these data story patterns as an end-user domain-specific language to explore and analyse LOSD. We argue that using data stories for exploring and analysing on open data platforms has the potential to significantly increase the adoption and use of (linked) open data.
References
[1]
Albrecht, J. et al. 1999. Management of multidimensional aggregates for efficient online analytical processing. Proceedings. IDEAS'99. International Database Engineering and Applications Symposium (Cat. No.PR00265). (1999), 156--164.
[2]
Balduini, M. et al. 2015. CitySensing: Fusing City Data for Visual Storytelling. IEEE Multimedia. 22, 3 (2015), 44--53.
[3]
Bizer, C. 2009. The emerging web of linked data. IEEE Intelligent Systems. 24, 5 (2009), 87--92.
[4]
Brolcháin, N.Ó. et al. 2017. Extending Open Data Platforms with Storytelling Features. Proceedings of the 18th Annual International Conference on Digital Government Research - dg.o '17. (2017), 48--53.
[5]
Brunetti, J. et al. 2012. The Linked Data Visualization Model. International Semantic Web .... (2012).
[6]
Cabibbo, L. et al. 1998. A Logical Approac h to Multidimensional Databases. Informatica. (1998), 183.
[7]
Chaudhuri, S. and Dayal, U. 1997. An overview of data warehousing and OLAP technology. ACM SIGMOD Record. 26, 1 (Mar. 1997), 65--74.
[8]
Chen, Z. et al. 2009. Fast and dynamic OLAP exploration using UDFs. Proceedings of the 35th SIGMOD international conference on Management of data - SIGMOD '09. (2009), 1087.
[9]
E.F. Codd et al. 1993. Providing OLAP to User-Analysts: An IT Mandate.
[10]
Exploring the 7 Different Types of Data Stories: http://mediashift.org/2015/06/exploring-the-7-different-types-of-data-stories/. Accessed: 2018-11-03.
[11]
Gray, J. et al. The data journalism handbook: {how journalists can use data to improve news}.
[12]
Gyssens, M. 1997. A Foundation for Multi-Dimensional Databases. (1997), 106--115.
[13]
Jain, P. et al. 2010. Linked Data is Merely More Data. Linked Data Meets Artificial Intelligence. Technical Report SS-10-07, AAAI Press. (2010), 82--86.
[14]
Janda, K.B. and Topouzi, M. 2015. Telling tales: Using stories to remake energy policy. Building Research and Information. 43, 4 (2015), 516--533.
[15]
Kalampokis, E. and Tarabanis, K. 2017. Visualizing Linked Open Statistical Data to Support Public Administration. (2017).
[16]
Kim, H. et al. 2016. Towards an enterprise entity hub: Integration of general and enterprise knowledge.
[17]
Lee, B. et al. 2015. More Than Telling a Story: Transforming Data into Visually Shared Stories. IEEE Computer Graphics and Applications. 35, 5 (Sep. 2015), 84--90.
[18]
Leonhardi, B. et al. 2010. Augmenting OLAP exploration with dynamic advanced analytics. Proceedings of the 13th International Conference on Extending Database Technology - EDBT '10. (2010), 687.
[19]
Linked Data - Design Issues: 2006. https://www.w3.org/DesignIssues/LinkedData.html. Accessed: 2018-07-02.
[20]
Lomet, D. et al. 2013. Data Engineering. Society. 36, 4 (2013).
[21]
MARJAN MERNIK, JAN HEERING, A.M.S. 2007. When and How to Develop Domain-Specific Languages. 37, 4 (2007), 5.
[22]
Newell, B. and Siri, J. 2016. A role for low-order system dynamics models in urban health policy making. Environment International. 95, (2016), 93--97.
[23]
Ni, L. et al. 2013. Visualizing linked data with JavaScript. Proceedings - 2013 10th Web Information System and Application Conference, WISA 2013. (2013), 211--216.
[24]
Ojo, A. et al. 2016. Pathologies of Open Data Platforms and Desired Transparency-Related Affordances for Future Platforms. Proceedings of the 17th International Digital Government Research Conference on Digital Government Research (New York, NY, USA, 2016), 538--539.
[25]
Ojo, A. et al. 2016. Realizing the Innovation Potentials from Open Data: Stakeholders' Perspectives on the Desired Affordances of Open Data Environment. Collaboration in a Hyperconnected World: 17th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2016, Porto, Portugal, October 3-5, 2016, Proceedings. H. Afsarmanesh et al., eds. Springer International Publishing. 48--59.
[26]
Ojo, A. and Heravi, B. 2017. Patterns in Award Winning Data Storytelling: Story Types, Enabling Tools and Competences. Digital Journalism. 0811, (2017), 1--26.
[27]
Palacios, J.F. et al. 2015. Storytelling: A Qualitative Tool to Promote Health Among Vulnerable Populations. Journal of Transcultural Nursing. 26, 4 (2015), 346--353.
[28]
Paulheim, H. 2013. Exploiting Linked Open Data as Background Knowledge in Data Mining. CEUR workshop proceedings DMoLD 2013: Proceedings of the International Workshop on Data Mining on Linked Data, with Linked Data Mining Challenge collocated with ECMLPKDD 2013. (2013), 1--10.
[29]
Pedersen, D. et al. 2002. A Powerful and SQL-Compatible Data Model and Query Language for OLAP. Thirteenth Australasian Database Conference (ADC2002). 5, November 2015 (2002), 121--130.
[30]
Resource Description Framework (RDF): Concepts and Abstract Syntax: 2004. https://www.w3.org/TR/rdf-concepts/. Accessed: 2018-07-25.
[31]
Segel, E. and Heer, J. 2010. Narrative visualization: Telling stories with data. IEEE Transactions on Visualization and Computer Graphics. 16, 6 (2010), 1139--1148.
[32]
Stasiewicz, A. et al. 2018. Using Linked Statistical Data to Improve Marine Search and Rescue Operations in Ireland. Proceedings of the 11th International Conference on Theory and Practice of Electronic Governance - ICEGOV '18. (2018), 412--418.
[33]
The RDF Data Cube Vocabulary: 2014. https://www.w3.org/TR/vocab-data-cube/. Accessed: 2018-08-03.
[34]
Thomas, H. et al. 2001. Processing in Decision Support Databases A Conceptual Model and Algebra for On-Line Analytical Processing in Decision Support Databases. July 2015 (2001).
[35]
Trinh, T.D. et al. 2013. Linked Widgets - An Approach to Exploit Open Government Data. Proceedings of the 15th International Conference on Information Integration and Web-based Applications {&} Services (iiWAS2013). (2013), 438--442.
[36]
Wickham, H. 2010. A Layered grammar of graphics. Journal of Computational and Graphical Statistics. 19, 1 (2010), 3--28.
[37]
Zhang, Y. et al. 2010. ParaCube: A scalable OLAP model based on distributed aggregate computing with sibling cubes. Advances in Web Technologies and Applications - Proceedings of the 12th Asia-Pacific Web Conference, APWeb 2010. (2010), 323--329.
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Published: 03 April 2019
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ICEGOV2019: 12th International Conference on Theory and Practice of Electronic Governance
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