Establishes Technical Committee on Data Solutions (TC DATA) by ETSI

In a significant move towards shaping the future of data-driven technologies, the European Telecommunications Standards Institute (ETSI) has established a new Technical Committee called TC DATA. The committee aims to promote responsible data sharing, enhance privacy, and security, and drive innovation in Artificial Intelligence (AI) and Machine Learning (ML).

The primary focus areas for TC DATA include data standardization, AI and ML integration, EU Data Governance Act compliance, cybersecurity, and industry collaboration.

In terms of data standardization, the committee is set to develop and maintain standards for data management, ensuring interoperability and compatibility across different systems and industries. This involves standardizing data formats, protocols, and interfaces to facilitate seamless data exchange and integration.

For AI and ML integration, TC DATA's objective is to provide guidelines and standards for the ethical and secure integration of these technologies into data-driven systems. The focus is on ensuring that AI and ML solutions are transparent, explainable, and compliant with regulatory requirements.

Compliance with the EU Data Governance Act is a key priority for TC DATA. The committee aims to develop standards and guidelines that align with the Act, emphasizing data sovereignty and protection. This will facilitate the creation of data governance frameworks that respect EU regulations on data sharing, reuse, and protection.

Enhancing cybersecurity measures is another critical aspect of TC DATA's work. The committee is developing standards for secure data handling, encryption, and access control to protect data and ensure secure operations in AI and ML environments.

Industry collaboration is also a significant focus for TC DATA. The committee aims to foster collaboration among industry stakeholders to develop shared standards and best practices. This encourages open dialogue and cooperation to address common challenges in data-driven technologies.

David Boswarthick, the Director of Strategy and Innovation at ETSI, emphasized the importance of data access through open and transparent frameworks. He highlighted that global collaboration is crucial for developing standards that ensure data sharing with reliability, privacy, and security at its core.

The variety of use cases and fields of application for TC DATA's work is extensive. Initially, TC DATA will focus on open data solutions for telecommunication networks and services. However, in a second phase, the committee intends to apply its principles and specifications to other environments such as maritime transport, eHealth, agriculture, and network management.

TC DATA is also set to collaborate with the European Commission to support the EU Data Governance Act. The committee's goal is to create an open ecosystem enabling industrial solutions across various sectors.

Diego López, the convenor of the ETSI group, expressed enthusiasm about contributing to the success of this work in ETSI. He emphasized that TC DATA will focus on data infrastructures, services, and applications for IoT, telecommunications, human services, and other industries.

In summary, ETSI's TC DATA is poised to play a pivotal role in advancing data-driven technologies, AI, and ML, while ensuring compliance with regulatory requirements and prioritizing privacy, security, and interoperability.

The European Telecommunications Standards Institute (ETSI)'s Technical Committee TC DATA is emphasizing the development of guidelines for the ethical and secure integration of artificial intelligence (AI) and machine learning (ML) technology in data-driven systems, promoting transparency, explainability, and regulatory compliance.

In collaboration with the European Commission, TC DATA aims to support the EU Data Governance Act by creating an open ecosystem for industrial solutions in various sectors, such as telecommunication networks, maritime transport, eHealth, agriculture, and network management, while prioritizing data-and-cloud-computing technologies.