Frequently Asked Questions

TEMS started in October 2023 as a project funded by the EU Commission (Grant Agreement 101123423). However, it will develop a self-sustainable model to guarantee the continuation of the initiative. Some possibilities include association fees, pay-per-service, and other public and private funding. The business model for TEMS will follow the implementation of the trials and the definition of the governance model, after the second year of the project.

TEMS is supported by over 40 organisations, including media companies, podcast producers, broadcasters, cinema associations, international bodies, technology providers, think tanks, and research institutions. The project is coordinated by the Innovalia Group, with the Project Steering Committee comprising key media organisations: Innovalia, the European Broadcasting Union (EBU), Deutsche Presse-Agentur GmbH (DPA), Austria Presse Agentur (APA), Agence France-Presse (AFP), France Télévisions, and VRT.

• Data spaces are designed to enable trusted and controlled data sharing and collaboration across organisations and systems. The primary technical challenges TEMS seeks to address include:
• Inter-Organisational Collaboration: Establishing trust among participants in a decentralised data space requires strong mechanisms for authentication, authorisation, and accountability.
• Data Governance and Trust: Developing tools to ensure data sovereignty, data provenance, and policy enforcement across the TEMS network.
• Privacy and Security: Ensuring compliance with privacy regulations and robust protection against cyber threats.
• Data Interoperability: Creating harmonised data formats and vocabularies to support seamless data sharing and improved data quality for all TEMS participants.
• AI and Machine Learning: Enabling secure access to TEMS data products for AI models while upholding fair business practices and ethical guidelines.
• Data Space Standardisation and Frameworks: Leveraging emerging international data space standards and key initiatives, such as IDSA, Gaia-X, and Simpl.

TEMS plans to welcome legal entities from the media and audiovisual sectors. Until its formal establishment, participation is limited to consortium members. Once institutionalised, TEMS will outline specific criteria for new participants in accordance with its statute. Opportunities to join are expected to open after the project’s second year and will be posted on the website, as well as shared via our newsletter.

• Through the development of data space requirements, the design and creation of shared infrastructure, the integration of concrete use cases, and the establishment of governance and business models, TEMS aims to achieve the following societal impacts and benefits:
• Efficiency Gains: Improved workflows, streamlined processes, faster agreement negotiations, reduced time to market, and potential cost savings.
• New Monetisation Opportunities: Opening up avenues for additional revenue streams for participating organisations.
• Innovative Technological Solutions: Development of new AI-based tools accessible to all participants, including small organisations.
• Expanded Content Distribution and Reach: Broader dissemination of content across various platforms and audiences.
• Enhanced Data Quality and Reliability: Increasing the accuracy and dependability of shared data.
• Data Sovereignty: Empowering organisations to retain control over their data and its usage.
• Broader Data Sharing: Facilitating and expanding data sharing across sectors and international borders.

Specific Societal and Environmental Benefits:

• Media Pluralism and Cultural Diversity: Promoting visibility for content from both small and large stakeholders to support diverse perspectives.
• Competitive Technological Tools for Content Creators: Offering advanced tools and services with minimal investment, benefiting creators of all sizes.
• Breaking Down Silos in the Fact-Checking Community: Encouraging cooperation within fact-checking networks.
• Resources Against Disinformation: Providing tools to counteract AI-driven disinformation campaigns effectively.
• Strengthening Public Trust: Contributing to trust in reliable media content and institutions, reinforcing democratic systems.
• Respecting User Privacy in Advertising and Marketing: Upholding user privacy rights within advertising practices.
• Enhanced User Engagement and Satisfaction: Improving audience interaction and satisfaction with content.
• New Markets for Data Sales: Facilitating the sale of datasets for analysis and AI training.