The data now support and reflect practical all economic sectors and social activities. Therefore, it is not surprising that the formulation of policies, at local, national and international levels, is also critically based on the data. The United Kingdom’s national data strategy provides an example of how countries seek to take advantage of data for economic growth and social welfare while guaranteeing appropriations for data flow through sectoral and geographical limits.
DataSphere Initiative
As the data becomes ubiquitous, their governance becomes increasingly intricate, which requires a new and holistic approach to the data government. He DataSphere Initiative It is a global network or interested parties with the mission of building agile frames to unlock the value of the data for all. We recognize that the exchange of personal and non -personal data is essential both to inform individual decisions and to address the main global challenges.
Data cause many policy questions related to trust, consumer protection, privacy and security, but also trade, competition, skills, economic imbalances, social impacts, etc. These problems are even more complicated when transferring data borders. Creating interoperability between national data regimes to minimize friction when transferring data between different countries is a necessary but complex step to support connectivity and global value chains.
New report
In an effort to explor Digital, Culture, Media and Sports Department has produced a report “Sandboxes for dates: creation of spaces for agile solutions through the borders“
The report establishes a preliminary roadmap so that policy formulators design and initiate a new type of policy test environment called “Sandboxes for Data”. The sandboxes are Test environments where you can access and use housed (“operative”), or collaboration processes where regulators and companies evaluate new technologies within a regulatory framework (“regulatory”), or a combination of both.
The sandboxes can be useful for innovators and companies, improving the exchange of data between the participants or reducing legal and regulatory uncertainty and allowing them to have access to a controlled test environment. Regulatory sandboxes can also provide regulators with an understanding of the latest technological developments and solutions to help anticipate the types of policy updates necessary to address emerging technologies and business models. Ultimately, sandboxes sacrifice a new policy tool that takes advantage of agility and flexibility that can help address the complex, interdependent and contextual nature of the data.
It is important that sandboxes are not Sene as a silver bullet or as an excuse for blind deregulation. On the contrary, they must complement the existing cooperation mechanisms, the construction efforts of institutions and initiatives that seek to find innovative solutions for cases where the legal situation around the exchange of response data is not clear or uncertain.
Data driven
As the progress and development of digital technologies accelerate, the dependence of the data becomes more intense. In fact, most of the technological development that we have seen in recent years is promoted by data, whether we are talking about the Internet of things (IoT), smart cities or artificial intelligence technology. This puts data not only in the center of attention in terms of how economies are executed and society is structured, but also requires the need to design systems that accommodate its nature constantly changing.
The bets have a high level of addressing emerging global challenges and bottlenecks related to cross -border data flows. The National Data Strategy of the United Kingdom establishes some important objectives to defend the available data of good quality worldwide. Build confidence in cross -border data flows and the broader system within what will also be the data flows or significant importance for the global groups of countries such as G7 and G20 to build efforts and include the practices of Furts Larged and Multiskeller. In order for data governance to have a real possibility of producing viable solutions, experimentation is key. Data sandboxes could provide a new and innovative policy tool to administer data safely through borders.
