Assessing the readability of open data portals: a case study of Open Data Pakistan
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Abstract
Open data portals have been implemented in numerous countries to provide accessible, usable, and reproducible data. This study aims to assess the readability of datasets from Open Data Pakistan. Using the URL (https://opendata.com.pk/) in an online readability checking tool, six well-known readability formulas were employed, including Flesch Kincaid Reading Ease, Flesch Kincaid Grade Level, Gunning Fog Score, Smog Index, Coleman Liau Index, and Automated Readability Index. The average score of each formula was calculated to analyze the standard readability of the open data portal. Additionally, the website was explored to evaluate the overall status of open datasets, showcases, and features like "Connect" on Open Data Pakistan. The findings indicated that the Open Data Pakistan website has a reading difficulty, scoring an average of 47.4 out of 100, making it challenging for the general public to read. However, the overall analysis suggested that the readability status of open data in Pakistan is satisfactory. These results offer insights into improving the readability of open data for enhanced citizen participation and informed decision-making. Moreover, the study has implications for policymakers and stakeholders regarding the readability of Open Data Pakistan, emphasizing the importance of considering readability in open data publication policies and guidelines, with a recommendation to decrease the percentage of open data portals categorized as hard to read.
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References
Ahmed, M., Mahmood, A. N., and Hu, J. 2018. Role of open data in social development: a case study of Pakistan. In Proceedings of the 19th Annual International Conference on Digital Government Research (pp. 26-34).
Akgül, Y. 2019. The accessibility, usability, quality, and readability of Turkish state and local government websites an exploratory study. International Journal of Electronic Government Research (IJEGR), Vol. 15, no. 1: 62-81.
Akgül, Y. 2021. Accessibility, usability, quality performance, and readability evaluation of university websites of Turkey: a comparative study of state and private universities. Universal Access in the Information Society, Vol. 20, no. 1: 157-170.
Akgül, Y. 2022. Evaluating the performance of websites from a public value, usability, and readability perspective: a review of Turkish national government websites. Universal Access in the Information Society. Available at: https://doi.org/10.1007/s10209-022-00909-4.
Almuqrin, A., Mutambik, I., Alomran, A., Gauthier, J., and Abusharhah, M. 2022. Factors influencing public trust in open government data. Sustainability, Vol. 14, no. 15: 9765.
Baker, D. l. 2009. Advancing e-government performance in the United States through enhanced usability benchmarks. Government Information Quarterly, Vol. 26, no. 1: 82–88. Available at: doi:10.1016/j.giq.2008.01.004.
Clemmensen, T., and Katre, D. 2012. Adapting e-gov usability: evaluation to cultural contexts. In E. Buie, & D. Murray (Eds.), Usability in Government Systems: User Experience Design for Citizens and Public Servants, pp. 331-344. Elsevier. Available at: https://doi.org/10.1016/B978-0-12-391063-9.00053-5.
Coleman, M., and Liau, T. L. 1975. A computer readability formula designed for machine scoring. Journal of Applied Psychology, Vol. 60, no. 2: 283.
Davies, T. G., and Bawa, Z. A. 2012. The promises and perils of open government data (OGD). The Journal of Community Informatics, Vol. 8, no. 2.
Fernández, A. M., Latorre, M. A., Sánchez-Eznarriaga, B. C., and García, L. F. 2021. Availability of open data related to COVID-19 in the web portals of the Spanish regions and the Ministry of Health. Revista Espanola de Salud Publica, Vol. 95, e202112190.
Flesch, R. 1948. A new readability yardstick. Journal of Applied Psychology, Vol. 32, no. 3: 221.
Fogel, J., Albert, S. M., Schnabel, F., Ditkoff, B. A., and Neugut, A. I. 2001. Quality of health information on the Internet. JAMA, Vol. 286, no. 17: 2092-2095.
Government of Pakistan. 2019. Pakistan Citizen's Portal: annual performance report 2018-2019. Available at: https://www.citizensportal.pk/downloads/annual-performance-reports/AnnualPerformanceReport-2018-2019.pdf.
Gunning, R. 1952. The technique of clear writing. New York: McGraw-Hill.
Henry, S.L. 2018. Referencing and linking to WAI guidelines and technical documents. Available at: https://www.w3.org/WAI/standa rds-guidelines/linking/.
Ho, A. T. K. 2002. Reinventing local governments and the e‐government initiative. Public Administration Review, Vol. 62, no. 4: 434-444.
Huang, Z., Brooks, L., and Chen, S. 2009. The assessment of credibility of e-government: users’ perspective. In: Salvendy, G., Smith, M.J. (eds) Human Interface and the Management of Information. Information and Interaction. Human Interface 2009. Lecture Notes in Computer Science, vol 5618. Springer, Berlin, Heidelberg. Available at: https://doi.org/10.1007/978-3-642-02559-4_4.
Iqbal, M. S., and Shaikh, K. 2021. Data-driven governance in Pakistan: a comparative analysis of the Ehsaas program and the Citizen's Portal. In Proceedings of the 22nd Annual International Conference on Digital Government Research, pp. 71-79.
Ismail, A., Kuppusamy, K. S., Kumar, A., and Ojha, P. K. 2019. Connect the dots: accessibility, readability and site ranking–an investigation regarding top-ranked websites of the Government of India. Journal of King Saud University - Computer and Information Sciences, Vol. 31, no. 4: 528-540.
Jun, K. N., Wang, F., and Wang, D. 2014. E-government use and perceived government transparency and service capacity: evidence from a Chinese local government. Public Performance & Management Review, Vol. 38, no. 1: 125-151.
Kincaid, J. P., Fishburne Jr., R. P., Rogers, R. L., and Chissom, B. S. 1975. Derivation of new readability formulas (Automated Readability Index, Fog Count, and Flesch Reading Ease Formula) for Navy enlisted personnel. Institute for Simulation and Training, 56. Available at: https://stars.library.ucf.edu/istlibrary/56/.
Kitchin, R. 2014. The data revolution: Big data, open data, data infrastructures, and their consequences. Thousand Oaks, CA: Sage Publications Ltd.
Kozievitch, N. P., Fonseca, K. V., Rosa, M. D. O., Berardi, R., Gutierrez, M. B., Belizario, M., Luz, M.G. and Liu, E. 2022. Assessment of Open Data Portals: a Brazilian case study. IEEE International Smart Cities Conference (ISC2), Pafos, Cyprus, 2022, pp. 1-7, Available at: doi: 10.1109/ISC255366.2022.9921914.
Martinez-Gil, J. 2023. Framework to automatically determine the quality of open data catalogs. arXiv preprint, Available at: arXiv:2307.15464.
Nikiforova, A. 2021. Smarter open government data for Society 5.0: Are your open data smart enough? Sensors, Vol. 21, no. 15: 5204.
Ojha, P. K., Ismail, A., and Kuppusamy, K. S. 2018. Readability assessment-cum-evaluation of government department websites of Rajasthan. In Proceedings of First International Conference on Smart System, Innovations and Computing: SSIC 2017, Jaipur, India, pp. 235-244. Springer Singapore.
Pérez-López, G., Prior, D., and Zafra-Gómez, J. L. 2015. Rethinking new public management delivery forms and efficiency: Long-term effects in Spanish local government. Journal of Public Administration Research and Theory, Vol. 25, no. 4: 1157-1183.
Risoldi Cochrane, Z., Gregory, P., and Wilson, A. 2012. Readability of consumer health information on the internet: A comparison of US government–funded and commercially funded websites. Journal of Health Communication, Vol. 17, no. 9: 1003-1010.
Saxena, S. and Muhammad, I. 2018. The impact of open government data on accountability and transparency. Journal of Economic and Administrative Sciences, Vol. 34, no. 3: 204-216.
Schauppenlehner, T., and Muhar, A. 2018. Theoretical availability versus practical accessibility: The critical role of metadata management in open data portals. Sustainability, Vol. 10, no. 2: 545.
Serry, T., Stebbins, T., Martchenko, A., Araujo, N., and McCarthy, B. 2023. Improving access to COVID‐19 information by ensuring the readability of government websites. Health Promotion Journal of Australia, Vol. 34, no. 2: 595-602.
Verkijika, S. F., and De Wet, L. 2018. Quality assessment of e‐government websites in Sub Saharan Africa: A public values perspective. The Electronic Journal of Information Systems in Developing Countries, Vol. 84, no. 2: e12015.
Yeung, A. W. K., Wochele-Thoma, T., Eibensteiner, F., Klager, E., Hribersek, M., Parvanov, E. D.,Hrg, D., Völkl-Kernstock, S., Kletecka-Pulker, M., Schaden, E., Willschke, H. and Atanasov, A. G. 2022. Official websites providing information on COVID-19 vaccination: readability and content analysis. JMIR Public Health and Surveillance, Vol. 8, no. 3: e34003. doi: 10.2196/34003.
Yoshida, M., and Thammetar, T. 2021. Education between govtech and civic tech. International Journal of Emerging Technologies in Learning (iJET), Vol. 16, no. 4: 52-68.
Youngblood, N. E., and Mackiewicz, J. 2012. A usability analysis of municipal government website home pages in Alabama. Government Information Quarterly, Vol. 29, no. 4: 582-588.
Zuiderwijk, A., Janssen, M., Choenni, S., Meijer, R., and Alibaks, R. S. 2012. Socio-technical Impediments of Open Data. Electronic Journal of e-Government, Vol. 10, no.2: 156-172.