Governments are producing significant public data that, if made open, is expected to create enormous social and commercial value as well as improve the civil governance. Unleashing the true power of open public data requires a much better understanding of its ecosystem than is known currently. Our research in this area is looking into the following aspects of open data:
Open Data Landscape: A Global Perspective and a Focus on China
The research surveys the global open data landscape by taking into account the Open Data Barometer (ODB) ranking system and its three sub-indexes – readiness, implementation and impact. These indexes are compared and analyzed on the basis of income levels of the ODB ranked countries. Finally, using air quality open data, data availability in developing countries like China is compared with countries of better practices such as UK and US. The comparison helps in understanding the current situation and barriers in opening data in China. More info
Open Air Quality Data: An Implementation Perspective
Air pollution not only effects human health but also has the potential to damage the Built Environment in both short and long term. Our research attempts to survey the air quality landscape of open data and to view the implementation initiatives of various countries, in this case US, UK and China. Our comparison of open data (air quality) status with leading open data advocates, US and UK, shows that the main reasons that pull China’s score down are related to machine-readability and ability to download data. By promoting a participatory infrastructure, governmental agencies can share costs, risks and resources with partners thus creating a win-win situation for all stakeholders.
Fig.: The API data records and monitored city records from 2000 to 2013 and the AQI data records from 2014 to 2015 in China
Understanding the impact of open data with SPI and ODB
Social Progress Index (SPI) is a multidimensional measure of human wellbeing. Basic Human Needs, Foundations of Wellbeing and Opportunity are the three main pillars of SPI. Each category is further divided into four components. Furthermore, the components themselves comprise of a diverse range of indicators. Open Data Barometer (ODB) , on the other hand, is a measure for open government data, a global movement to make government “open by default” – promising to make public sector data openly available, without charge and in re-useable formats. The objective of opening the government data is: to secure government accountability; to coordinate action to improve society; and bootstrapping new business ideas that can benefit from access to government data. For ODB, the sub-indexes include: readiness, implementation and impact. Keeping in view the goals of ODB such as accountability, social policy, political, economic and social impacts etc., this research intends to contrast sub-indexes of ODB with sub-dimensions of SPI.