JAKARTA - Indonesia through the Digital Economy Working Group encourages G20 countries to strengthen the understanding of data governance.
"Data on e-commerce platforms may cross national borders. So our goal at the G20 is to strengthen data governance," said DEWG Chairperson of the Indonesian G20 Presidency Mira Tayyiba in a press release, Sunday, July 24.
The use of data traffic flows globally for the 2020-2026 period is estimated to increase by three times. Currently, there are different backgrounds in data governance in each country.
The flow of data management used by various countries, among others, for the benefit of corporations, individuals, and the state.
"So when we talk about good governance, which governance is suitable? The issues of Cross-Border Data Flow (CBDF) and Data Free-Flow with Trust (DFFT) become the most exciting, because it is no longer possible for us to use more intensive digital space, not talking about data, it's impossible," said Mira.
DEWG seeks to build a common understanding of data governance so that G20 member countries can learn from each other and understand each other.
Through a mutual understanding, G20 member countries can seek common principles as the basis for cross-border data flow, namely lawfulness, transparency, justice, and reciprocity.
The discussion on the issue of cross-border data flow, said Mira, aims to show the important role of data in digital economic opportunities. The forum also provides an understanding of data in general and specifically for personal data.
The three governance principles, namely legitimacy, fairness, and transparency, can be used for data in general. While the principle of reciprocity applies to personal data.
According to Mira, these principles are still in the discussion stage, no conclusions have been drawn yet.
The third DEWG discusses the issue of cross-border data flows developed at the Italian G20 Presidency. This discussion aims to reach an understanding of a clear common definition of trust and general principles on cross-border data flow activities.
The results of this understanding will be applied at a practical level.
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