phase 5 e2e — multi-chapter book test — Foundations of Phase 5 E2E Systems (Defining scope, boundaries, and core objectives; Stakeholder alignment and requirement mapping)

The source provides a comprehensive overview of data spaces, covering both technological and economic dimensions alongside practical implementations and use cases. This broad perspective supports the foundational work of defining system scope, boundaries, and core objectives by establishing a holistic understanding of the data space ecosystem, which is essential for aligning stakeholder requirements and mapping design parameters.

“This open access book provides a 360° view of the technological and economic aspects of data spaces and presents various implementations and use cases.”

The white paper details how the SNS JU Technology Board aligns technical stakeholders and maps requirements across 33 R&I projects to define the scope and core objectives of AI/ML integration in 6G networks. By systematically surveying ongoing initiatives, the board identifies key application domains, learning methodologies, and performance targets, ensuring that AI mechanisms are developed within clear boundaries focused on enhanced performance, energy efficiency, security, and regulatory compliance. This collaborative, evidence-driven framework establishes foundational standards for AI-native 6G systems and aligns European research efforts with global sustainability and ethical guidelines.

“These AI/ML solutions address critical 6G objectives, such as enhanced performance, energy efficiency, and advanced security, reflecting a comprehensive and collaborative approach to innovation in telecommunications.”p. 2 · Executive Summary

The source examines the foundational interdependency between knowledge management (KM) and quality risk management (QRM) within pharmaceutical systems, emphasizing the need to define clear scope and boundaries for their integration across the product lifecycle. By engaging a broad range of industry stakeholders through interviews, focus groups, and case studies, the research aligns requirements and objectives around improving knowledge transfer and enabling informed, risk-based decision making. The findings highlight that current partial integration and ineffective tacit knowledge transfer undermine system objectives, underscoring the necessity of structured stakeholder alignment and explicit requirement mapping to establish effective end-to-end operational frameworks.

“The primary research objectives were to improve understanding and effectiveness of the interdependency between KM and QRM and to improve knowledge management across the pharmaceutical product lifecycle, starting with a focus on knowledge transfer during technology transfer.”