Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 3

open government data Related Abstracts

3 Open Data for e-Governance: Case Study of Bangladesh

Authors: Sami Kabir, Sadek Hossain Khoka

Abstract:

Open Government Data (OGD) refers to all data produced by government which are accessible in reusable way by common people with access to Internet and at free of cost. In line with “Digital Bangladesh” vision of Bangladesh government, the concept of open data has been gaining momentum in the country. Opening all government data in digital and customizable format from single platform can enhance e-governance which will make government more transparent to the people. This paper presents a well-in-progress case study on OGD portal by Bangladesh Government in order to link decentralized data. The initiative is intended to facilitate e-service towards citizens through this one-stop web portal. The paper further discusses ways of collecting data in digital format from relevant agencies with a view to making it publicly available through this single point of access. Further, possible layout of this web portal is presented.

Keywords: e-Governance, one-stop web portal, open government data, reusable data, web of data

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2 A Review of Data Visualization Best Practices: Lessons for Open Government Data Portals

Authors: Bahareh Ansari

Abstract:

Background: The Open Government Data (OGD) movement in the last decade has encouraged many government organizations around the world to make their data publicly available to advance democratic processes. But current open data platforms have not yet reached to their full potential in supporting all interested parties. To make the data useful and understandable for everyone, scholars suggested that opening the data should be supplemented by visualization. However, different visualizations of the same information can dramatically change an individual’s cognitive and emotional experience in working with the data. This study reviews the data visualization literature to create a list of the methods empirically tested to enhance users’ performance and experience in working with a visualization tool. This list can be used in evaluating the OGD visualization practices and informing the future open data initiatives. Methods: Previous reviews of visualization literature categorized the visualization outcomes into four categories including recall/memorability, insight/comprehension, engagement, and enjoyment. To identify the papers, a search for these outcomes was conducted in the abstract of the publications of top-tier visualization venues including IEEE Transactions for Visualization and Computer Graphics, Computer Graphics, and proceedings of the CHI Conference on Human Factors in Computing Systems. The search results are complemented with a search in the references of the identified articles, and a search for 'open data visualization,' and 'visualization evaluation' keywords in the IEEE explore and ACM digital libraries. Articles are included if they provide empirical evidence through conducting controlled user experiments, or provide a review of these empirical studies. The qualitative synthesis of the studies focuses on identification and classifying the methods, and the conditions under which they are examined to positively affect the visualization outcomes. Findings: The keyword search yields 760 studies, of which 30 are included after the title/abstract review. The classification of the included articles shows five distinct methods: interactive design, aesthetic (artistic) style, storytelling, decorative elements that do not provide extra information including text, image, and embellishment on the graphs), and animation. Studies on decorative elements show consistency on the positive effects of these elements on user engagement and recall but are less consistent in their examination of the user performance. This inconsistency could be attributable to the particular data type or specific design method used in each study. The interactive design studies are consistent in their findings of the positive effect on the outcomes. Storytelling studies show some inconsistencies regarding the design effect on user engagement, enjoyment, recall, and performance, which could be indicative of the specific conditions required for the use of this method. Last two methods, aesthetics and animation, have been less frequent in the included articles, and provide consistent positive results on some of the outcomes. Implications for e-government: Review of the visualization best-practice methods show that each of these methods is beneficial under specific conditions. By using these methods in a potentially beneficial condition, OGD practices can promote a wide range of individuals to involve and work with the government data and ultimately engage in government policy-making procedures.

Keywords: Data Visualization, literature review, best practices, open government data

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1 An Assessment of the Quality of Open Government Data in Saudi Arabia

Authors: Nada F. Al Ogaiel, Omer A. Alrwais

Abstract:

In the past decade, open data have become a trend that has gained global attraction, as more countries are launching national open government data (OGD) portals. The Saudi government launched its portal in 2014, but various indicators show that the published data did not achieve expected outcomes. Poor data quality is a problem that can affect any OGD initiative and transform it into a resource-consuming project rather than a beneficial project. This study aims to propose a customised mathematical framework for assessing the quality of the data published in the Saudi Open Government Data Portal. This framework is a thorough attempt to evaluate the core of the OGD, which is based on cell-level and table-level criteria, rather than evaluating the portal. The framework tests the quality of the datasets by inspecting the data's compliance with 12 open data quality standards. A use case is presented to test the proposed framework, and the results are compared with other recognised OGD quality assessment frameworks. The comparison is then generalised to include 15 datasets. The results show how each model gives different readings despite the convergence of some results.

Keywords: e-Government, open data, Measurement, Quality, Saudi Arabia, framework, portal, open government data

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