Integration of the Open Government Data platform into existing Content Management Systems in Kenya

Authors Kirongo C. Amos and Bundi G. Dorothy
Open Government Data (OGD) avails statistical, development, expenditure and demographic data, in digital format for the general public, ICT developers, researchers and policy makers. This evaluation is based on analysis of qualitative and quantitative metadata and data sets in Open Data portals. The OGD platform integration to Content Management Systems, targeted internal and external users of Open Data portals in Kenya. The implementation of the OGD platform is facing a number of challenges resulting from the government ministries and county governments reluctance in releasing secretive information. To realize the benefits of OGD which includes transparency, public service improvement, innovation and economic value, efficiency, self-empowerment, impact measurement of policies, participatory governance, and data mining new knowledge from combined data sources and patterns from large datasets; the government needs to integrate OGDs in CMS. This paper analyses theoretical and empirical open data sets and proposes an integration framework of OGD to CMS.
Relevance to innovation
This paper analyses theoretical and empirical open data sets and proposes recommendations for future integration framework of Open Government Data strategies and Platforms as part of Content Management Systems. The paper outlines the benefits of OGD integration initiatives to CMS in Kenya. The innovation compliments government processes by introducing citizen-centered portals to enable government to design and distribute open data allowing interactions and seamless responses from the public. OGD is currently in use and can be scaled down to County Governments Open Data portals.
Keywords: Content Management System, Data Sets, Integration, Open Government Data, Metadata Portals

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About the Author: Amos Chege

I am currently a PhD. Computer Science student with a research interest in the area of Image Processing, machine learning, and data mining. My PhD. proposed work is based on development of Algorithms that will result in the creation of solutions for farmers faced with challenges on detection of a variety of plan stresses and remedying the challenges through Technology. In the area of Assistive Technologies, my research team and I have done research work in the area of Competence Network for e-Inclusion and Assistive Technologies. The research team from University of Applied Sciences Austria and Meru University of Science and Technology Kenya, managed to attract seed fund, and conducted a pilot study. The study was based in Meru County in Kenya where we were able to identify the need for Information Communications Technology (ICT) Assistive Devices for Special school Learners with Physical Disability. The gap identified will lead to design and roll-out of Innovative technologies that will enable learners in Special Schools access learning content electronically and be able to learn like other children. Findings of this study were presented during the 10th Decolonizing the Spirit Conference in University of Embu in July 2016. In the area of Open Government Data, together with my co-authors, we succeeded in proposing a model for integration of Open Government Data to Content Management Systems in Kenya. The research findings have been presented during the Nairobi Innovation Week Research Symposium at the University of Nairobi in March 2017. During the 11th Egerton University's International Conference and Innovation Week, held in March 2017, we were awarded the Best Paper Presentation in the category of Governance, Law and Security. We have proposed a model for adoption of Open Government Data in Kenya. In the area of Electronic Learning, we have done with my co-authors research in the areas of eLearning adoption and use in Institutions of Higher Learning and presented in the KEMU 2016 Annual Research Conference We have also done papers on Electronic waste management and disposal and presented in the International Conference on University - Industry Linkages held in Meru University of Science and Technology in October 2017. Currently ongoing research interests are in the area of Image Processing, Assistive technologies, Open Government Data, Enterprise Resource Planning adoption initiatives, Information Systems Risks and Security, and Remote Sensing in Turbidity Measurement in Water.

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