Legal Person Network, Beijing, November 2 (All-media reporter Li Liao) Recently, the "Review of the Group Standard for Review of the "Data Compliance Management System Requirements" was held in Beijing. An expert review team composed of standard experts, certification experts and data governance experts from 6 units, including , Chinese Academy of Sciences, Chinese Academy of Sciences, Development Research Center, China Institute of Standardization, , China Electronics Technology Standardization Research Institute, , China National Accreditation Center for Conformity Assessment, Yushufang (Beijing) Technology Co., Ltd., was evaluated by the expert review team.
The picture shows the offline meeting of the expert seminar, the standard working group introduced the preparation of the standard to the review group. Then the review group questioned the standard content, the standard working group answered the expert's questions and carefully adopted the opinions put forward by the experts. Experts from the review team pointed out that the "Data Compliance Management System Requirements" group standard focuses on compliance management in the data field. It can not only guide organizations to carry out data compliance management activities, but also serve as a reference for certification agencies to carry out certification, legal practitioners to carry out data compliance business, organize third-party supervision and evaluation of compliance, and governments to carry out data compliance governance. It is also a necessary supplement to the evaluation of data management capabilities maturity. Finally, the experts of the review team unanimously confirmed that the "Data Compliance Management System Requirements" group standards passed the review.
It is reported that the group standard is led by the Joint Committee of Data Governance Innovation Cooperation of the China Electronic Information Federation. It has previously held two expert seminars combining online and offline on October 14 and October 20 respectively. More than 70 celebrities from more than 40 units including China Software Evaluation Center , Shanghai Computer Software Technology Development Center, Shenzhen Data Trading Co., Ltd., Shanghai Data Exchange , Chinese Society of Behavioral Law , Beijing Institute of Technology , Hunan Agricultural University , Huzhou Digital Group Co., Ltd., China Electronics Technology Big Data Research Institute, etc. attended the seminar.
According to the Standard Working Group, the "Data Compliance Management System Requirements" is based on data policies, aims to implement data compliance obligations, and with the construction of a data compliance management system as the core, it proposes data compliance management requirements that take into account the organizational system, system, operation system and guarantee system, and establishes behavioral norms and boundaries for the organization and its top managers, employees and third-party partners.
data compliance is the premise and basis for the release of potential of data elements and is an important part of data governance . Establishing and improving the compliance and regulatory rules system for the entire process of data, implementing compliance requirements throughout the entire process of data governance, and improving the organization's data governance and compliance operation capabilities is an important guarantee for promoting the high-quality development of digital economy . Today, data compliance governance is an important part of social governance and has become a rigid demand for compliance governance of various organizations. The development of the "Data Compliance Management System Requirements" standard and the development of the series of standards for subsequent use guides are of great significance to accelerating the innovation process of data governance, standardizing data management behavior, empowering DCMM to implement standards, improving enterprise data management capabilities and compliance management levels, and reducing risks such as the entire life cycle of data.
Editor | Huiningning
Editor | Cui Xiaolin
Proofreading | Zhang Bo Zhang Xuehui
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