The Technical Committee for Standardization “Artificial Intelligence” (TC 164) on the basis of RVC has submitted for public discussion the first edition of the standard “Information Technologies. Big Data Reference Architecture. Part 5. Directions of Standardization “. The draft standard was developed by the National Center for Digital Economy of the Lomonosov Moscow State University (within the framework of the project of the NTI Competence Center on Big Data Storage and Analytics Technologies) and the Institute of the Information Society (IIS).
National Standard “Information Technologies. Big Data Reference Architecture. Part 5. Directions of standardization” is part of a series of five standards on the reference architecture of big data and is a Russian-language adaptation of the international technical report ISO/IEC TR 20547-5:2018 Information technology – Big data reference architecture – Part 5: Standards roadmap.
This document submitted to public discussion provides standards developers and users with pointers and references to other standards that are applicable to or provide information about the Big Data Reference Architecture.
The draft national standard describes international and domestic documents on the big data standardization and organizations involved in the development and implementation of relevant standards, and also determines their location. In addition, the draft standard traces the relationship between documents on the big data standardization and the reference architecture of big data, a variety of other existing technologies.
The presented draft national standard, along with other parts of the 20547-X series of standards, will contribute to the effective use of end-to-end digital technology “big data” to solve economic and social problems in the implementation of the national program “Digital Economy of the Russian Federation”.
“Such documents are needed to describe the landscape of standardization in the field of big data, the main players and the distribution of responsibilities between them. The application of the developed national standard allows you to form an idea of the current norms and areas of technical regulation of working with big data, as well as to identify the existing gaps and priority areas for the development of future standards,” notes Yuri Hohlov, chairman of IIS Board of directors, chairman of the Data subcommittee (PC 02) as part of TC 164 , head of the project “Monitoring and standardization of the development and use of big data technologies in the digital economy of the Russian Federation” of the NTI Competence Center at the Moscow State University.
The draft standard was developed by the National Center for Digital Economy of Lomonosov Moscow State University (within the framework of the above-mentioned project of the NTI Competence Center) and IIS. The coordination of work on the reconciliation and approval of the document is carried out by PC 02 “Data” on the basis of Moscow State University, operating as part of TC 164 “Artificial Intelligence”.
The first edition of the standard is available on the website of the NTI Competence Center for Big Data Storage and Analytics Technologies at Moscow State University at bigdata-msu.ru/standards. Comments on the project are accepted by e-mail email@example.com until May 10, 2021. Based on the results of public discussion, the edition of the standard will be supplemented and approved by TC 164 “Artificial Intelligence”, after which it is planned to submit the document to Rosstandart.