&#160;Air Quality data modelling and analytics for open data management in Africa
Authors: Ngongang Wandji Danube Kirt 
Published: February 2023

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&lt;p&gt;&lt;span data-contrast=&quot;auto&quot;&gt;Scientific understanding is an essential ingredient for the design of successful policy interventions, but knowledge and data relevant for effective policies is often inadequate or absent in many areas of the world where it is needed especially Africa. Air quality data analytics and information systems with observational and modelling components are key elements for adaptive and mitigation measures to reduce the negative impacts of air pollution.&lt;/span&gt;&lt;span data-contrast=&quot;auto&quot;&gt; The&lt;/span&gt;&lt;span data-contrast=&quot;auto&quot;&gt; open Data Management System (oDMS) was developed by Sailbri Cooper Inc,&amp;#160; a subsidiary of Sailhero Environmental Technologies, and hosted by UNEP on the UN Cloud with a strong engagement of Stockholm Environment Institute(SEI) to strengthen Open data sharing, access to historical data, Open technology monitoring system and quality assurance. (oDMS), a free service that is demand driven, platform-independent, and provides tools to assist developing countries with the management of their air monitoring networks.&lt;/span&gt;&lt;span data-ccp-props=&quot;{&quot;&gt;&amp;#160;&lt;/span&gt;&lt;/p&gt;
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&lt;p&gt;&lt;span data-contrast=&quot;auto&quot;&gt;Development of the oDMS addresses large-scale monitoring and offers a platform to any entity wanting to share and manage their air networks and collaborate with other data providers in the same locality even beyond.&amp;#160; In timer, it will support a unified mechanism for data exchange. The oDMS adopts Browser/Server (B/S) layered structure development &amp; design by using multi-layer structure. Modules are coupled and interconnected through Web services. In addition, the separated front-end and back-&amp;#8203;end designs guarantee strong scalability. The hierarchical structure of system is divided into application layer, service layer, data layer, transmission layer, and acquisition layer. System functions between the layers are realized by direct or indirect calls.&lt;/span&gt;&lt;span data-ccp-props=&quot;{&quot;&gt;&amp;#160;&lt;/span&gt;&lt;/p&gt;
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&lt;p&gt;&lt;span data-contrast=&quot;auto&quot;&gt;For the real-time monitoring module, the real-time monitoring data and status of each site can be displayed by selecting the area and monitoring parameters. Monitoring sites can be ranked ascending or descending based on user preference.&amp;#8203;&lt;/span&gt; &lt;span data-contrast=&quot;auto&quot;&gt;The beta version to be demonstrated offers basic statistical analysis on data.&lt;/span&gt;&lt;span data-ccp-props=&quot;{&quot;&gt; This type of emerging technologies at urban scale&amp;#160; can be used to enable developing country governments to drive transformations that improve air quality management using citizen sciences and mitigate the effects of climate change.&lt;/span&gt;&lt;/p&gt;
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&lt;p&gt;&lt;span data-contrast=&quot;auto&quot;&gt;This session will demonstrate how the platform can empower local governments and participatory citizens alike to collecte data across the monitoring landscape and work towards a collaborative and open environment to make evidence-based decisions.&amp;#160; It will also highlight some of the management features for physical monitoring and seek feedback from participants on how to improve the utility of the service UNEP is providing. &lt;/span&gt;&lt;span data-ccp-props=&quot;{&quot;&gt;&amp;#160;&lt;/span&gt;&lt;/p&gt;
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