Part I - Digital Representation: Engineering Digital Twins and Digital Shadows as Key Enablers for Industry 4.0 -- Designing Strongly-decoupled Industry 4.0 applications across the stack: a use case -- Variability in Products and Production -- Part II - Digital Infrastructures: Reference Architectures for closing the IT/OT gap -- Edge Computing: Use Cases and Research Challenges -- Dynamic Access Control in Industry 4.0 Systems -- Challenges in OT-Security and their Impacts on Safety-related Cyber-Physical Production Systems -- Runtime Monitoring for Systems of System -- Blockchain technologies in the design and operation of cyber-physical systems -- Part III - Data Management: Big Data Integration for Industry 4.0 -- Tons of data - is data quality still an issue? -- Coupling of Top Floor Internal and External Data Exchange Matters -- Part IV - Data Analytics: Conceptualizing Analytics: An Overview of Business Intelligence and Analyticsfrom a Conceptual Modeling Perspective -- Discovering Actionable Knowledge for Industry 4.0: From Data Mining to Predictive and Prescriptive Analytics -- Process Mining - Discovery, Conformance, and Enhancement of Manufacturing Processes -- Symbolic artificial intelligence methods for prescriptive analytics -- Machine Learning for Cyber-Physical Systems -- Visual Data Science for Industrial Applications -- Part V - Digital Transformation towards Industry 5.0: Self-Adaptive Digital Assistance Systems for Work 4.0 -- Digital Transformation - Towards flexible human-centric enterprises.