Solution Providers - Business Developers
For professionals from solution provider organisations focused on client needs, business opportunities, value propositions and partnerships. The selected materials introduce data spaces and explore their relevance for value creation, business models, ecosystem collaboration, market positioning and sustainability.
Sustainable Business Strategies - basic
This training explores how data spaces can support innovation, growth and sustainability in cities and communities. Participants will work through practical exercises to better understand how data spaces can create value for local ecosystems and support sustainable smart community development. The session includes practical exercises and interactive collaboration.
Business & Governance (advanced): Creating win-win solutions for all stakeholders in your data space
This workshop focuses on creating win-win solutions for stakeholders in a data space by looking at governance structures, collaboration models and their connection to business models. Participants work with the Data Cooperation Canvas and explore value propositions, stakeholders, data and infrastructure, resources, data collaboration models and possible revenue streams. The session includes interactive practical work for further developing governance frameworks and business models.
Regulatory Compliance and Safeguards
This training introduces regulatory compliance and safeguards for data spaces, with an overview of the current EU digital regulatory landscape and how to identify which rules may apply based on the data, participants, use cases and technologies involved. Through an interactive workshop and group discussion, participants identify key legal and compliance challenges, reflect on their own data space or use case, and begin mapping possible next steps. The session also introduces the contractual framework for data spaces and concludes with suggested follow-up work, including continued collaboration with legal experts and pilot teams.
Green Deal Regulations and Policies
This lecture introduces key EU environmental regulations that matter for data spaces and explains how they are connected to the European Green Deal and smart community priorities. It covers relevant policy areas such as climate action, energy transition, mobility, circular economy, buildings, air quality, water management and biodiversity. The session also shows how data spaces can support compliance, transparency, sustainability and innovation, while helping cities and stakeholders better understand the cost of inaction.
In-person training: Bootcamp event in Ljubljana
Governance & Legal Building Blocks (basic): Common Purpose and Balanced Power Dynamics
This workshop introduces governance in data spaces, with a focus on common purpose, balanced power dynamics and the role of the Multi-Stakeholder Governance Scheme in building trusted local data ecosystems. Participants explore the roles and responsibilities of data space participants, including participatory, intermediary and governing roles, and discuss how governance frameworks help define access, accountability and oversight. The session includes group work and use-case discussions to help pilots map stakeholders, identify roles and reflect on governance questions in their own context.
This in-person bootcamp supports DS4SSCC-DEP pilot teams in developing stronger local data spaces and preparing for federation and long-term sustainability. The training combines business, governance and technical work, helping participants refine data products, business models, governance structures and technical implementation choices. It includes joint sessions, dedicated track work, pilot presentations and peer exchange to support practical progress across the participating pilots.
Agenda and pre-assignments:
It provides the agenda and preparation package for the DS4SSCC Ljubljana Bootcamp. It outlines the two-day in-person training structure, covering business and governance sessions, technical sessions, and joint work on federation and sustainability. A key focus of the document is the pre-assignments for pilots, including stakeholder mapping, governance and participation management overviews, use case descriptions, data product definitions, and technical preparation tasks, so that the bootcamp sessions could build directly on the pilots’ prior work.
Business & Governance Track
The Business & Governance Track focuses on helping pilots refine their use cases, data products, business models and governance approaches. Building on their stakeholder maps, governance and participation management overviews, use cases and data products, participants clarify value propositions, customer and user groups, revenue or cost-recovery logic, roles and responsibilities, trust and decision-making structures, and sustainability beyond EU funding. The track also explores the transition from local data spaces towards federated business and governance models, including joint offerings, cost and benefit sharing, and governance mechanisms that support trust and coordination.
Joint Sessions:
The joint sessions bring all participants together to align on key concepts, share progress and connect the technical, business and governance perspectives. They include workshop framing, pilot presentations, federation concepts, group formation, peer exchange and closing reflections. These sessions help pilots learn from each other, identify common challenges and explore opportunities for collaboration across use cases, domains and geographies.
Introduction: European Data Strategy Enabling Data Spaces for Smart and Sustainable communities
This lecture introduces the European Data Strategy and explains how it supports the development of common European data spaces based on trust, data sovereignty and European values. It covers the main policy and regulatory elements behind the strategy, including data protection, data sharing, data reuse and responsible digital transformation. The session also explains the concept of data spaces as decentralised ecosystems for secure and trustworthy data sharing, and shows why this approach is important for smart and sustainable communities.
Introduction: The Connective Tissue of the Smart City Ecosystem
This lecture introduces data spaces as a key enabler for smart and sustainable cities, helping cities move from fragmented data towards better decisions and real impact. It explains why technology, AI and digital twins should support clear city outcomes rather than drive “tech-first” solutions. The session also shows how data spaces can connect different urban ecosystems, improve data sharing and interoperability, and support trusted collaboration between cities, solution providers and other stakeholders.
Introduction: Introduction to the DS4SSCC Project
This foundational training provides an overview of data spaces and their significance in the context of smart communities. Participants are introduced to the core concepts, benefits and potential applications of data spaces, with a focus on their role in supporting smarter, more connected and more sustainable local ecosystems. The training also places data spaces within the broader European data strategy and explains how they contribute to smart and sustainable communities. In addition, it provides context on the DS4SSCC initiative, the role of pilot projects, the overall training programme approach, and the European Data Space for Smart Communities Blueprint.
Introduction: Introduction to the DS4SSCC Blueprint
This lecture introduces the DS4SSCC Blueprint as a practical framework for developing data spaces for smart communities. It gives participants a first overview of how data spaces are structured and what is needed to make them work in practice, including governance arrangements, legal considerations, business models, value creation and technical pillars. The session helps participants understand how these elements fit together and why they are important for building trusted, sustainable and scalable data space initiatives.
Introduction: Technical pillars and Introduction to Technical Building Blocks
This lecture introduces the technical foundations needed to implement a data space and explains how pilots can evolve from a classic data platform towards a federated data space architecture. It covers key components such as trust, access control, federation, data interoperability, data sovereignty and data value creation, including data models, data exchange, identity management, access and usage policies, publication and discovery, and value creation services. The session helps participants understand how these elements work together to enable secure, interoperable and trusted data sharing between data space participants.