Big data development in major cities typically involves the following elements: building and improving internet infrastructure facilities; developing high-speed internet network; introducing e-government services and building a digital government; deep data analysis to enhance precise urban management; opening up and sharing of data; ensuring data security and privacy; engaging corporates, research institutions and academics; and training multi-level big data professional talents.
The Outline Development Plan for the Guangdong-Hong Kong-Macao Greater Bay Area has highlighted the importance of adding value to data.
To achieve that, in addition to the points mentioned above, data resources management is a critical issue.
My previous experience as big data project consultant for Beijing’s smart city program tells me that figuring out the data resources on hand is basic to everything else.
Beijing municipal government spent a great deal of time in taking stock of the kind of data resources from government and the public before the capital city set out to build a mayor data office and draft a big data blueprint. The same groundwork is needed for the Greater Bay project.
There is an obstacle for data transfer in the Greater Bay Area, due to the policy gap under the One Country Two Systems.
The Outline Development Plan has suggested setting up a big data test zone. I believe that will offer an ideal sandbox environment for various data security technologies and data governance solutions.
In my opinion, finance and medical services are some of the areas we should work on first.
This article appeared in the Hong Kong Economic Journal on March 14
Translation by Julie Zhu
[Chinese version 中文版]
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