Deliverables
Date: September 2025 | Work Package: WP1 | Lead: Erasmus Universiteit Rotterdam (EUR)
Target audiences:
TG1 (CCSI & CH Professionals / Users); TG4 (Data Managers); TG5 (IT Professionals / Developers); TG6 (Researchers); TG7 (Other European Projects)
The ARCHS Initial Framework is the foundation of EXCENTRIC’s approach to Collaborative Data Ecosystems (CDE) for the Cultural and Creative Sectors and Industries (CCSI). It introduces five guiding principles for responsible and human-centric digital transformation.
The ARCHS Initial Framework is designed as a living document: the framework will be continuously employed and refined as the project progresses.
Date: January 2026 | Work Package: WP1 | Lead: Erasmus Universiteit Rotterdam (EUR)
Target audiences:
TG3 (Policy Makers); TG2 (Networks & Umbrella Organisations); TG6 (Researchers)
This policy brief outlines the key structural challenges hindering responsible and human‑centric digital transition across the Cultural and Creative Sectors and Industries, highlighting persistent fragmentation, uneven digital literacy, ethical uncertainties, and misaligned or ill‑fitting digital tools. Drawing on EXCENTRIC’s early findings, it positions Collaborative Data Ecosystems (CDEs) and the ARCHS principles as practical pathways to reduce complexity, strengthen trust, and promote more coherent data practices within cultural networks. The brief emphasises the enabling role of umbrella organisations in convening shared standards, facilitating peer learning, and translating governance approaches into sector‑aligned practices. It concludes with concrete recommendations for supporting sustainable, values‑aligned digital transition through collaborative governance, minimum‑viable data practices, and cross‑organisational alignment.
Date: January 2026 | Work Package: WP1 | Lead: Erasmus Universiteit Rotterdam (EUR)
Target audience: TG6 (Researchers)
Milestone 5 establishes the transversal analysis methodology and corresponding implementation plan that underpin WP5 of EXCENTRIC. It defines the shared analytical approach for systematically collecting, integrating and synthesising evidence generated across the pilots, organisational practices and tool development activities, ensuring consistency with the ARCHS Initial Framework and coherence across work packages. This milestone operationalises WP1’s objective of providing an integrated innovation and analysis framework and specifies how data streams, feedback loops and cross‑pilot insights will support network analysis, cross‑cutting theme assessment and accelerator processes throughout M13–M36. As such, Milestone 5 provides the methodological backbone that will guide WP5 activities, leading to the mid‑term synthesis at M24 and feeding directly into the final WP5 deliverable (D5.1) at M36.
Date: January 2026 | Work Package: WP2 | Lead: Waag Futurelab (WAAG)
Target audiences:
TG1 (CCSI & CH Professionals / Users); TG4 (Data Managers); TG6 (Researchers)
This report provides an in‑depth diagnostic of six pilot organisations, mapping their operational contexts, data practices, organisational cultures, and readiness to engage in collaborative, human‑centred data ecosystems. Through interviews, on‑site workshops, digital maturity assessments and ecosystem mapping, it identifies diverse starting points and structural frictions—ranging from fragmented infrastructures and uneven governance to gaps in data literacy, trust, and purpose clarity. Despite this heterogeneity, the analysis reveals strong convergence around the ambition to deepen audience understanding and create value through more intentional, reflective and ethical data practices. The findings establish a shared analytical baseline for shaping design requirements, capability‑building, methodological alignment and future transversal analysis, ensuring that subsequent development stages respond to real organisational conditions rather than abstract assumptions.
Date: January 2026 | Work Package: WP2 | Lead: Waag Futurelab (WAAG)
Target audiences:
TG4 (Data Managers); TG5 (IT Professionals / Developers); TG6 (Researchers)
D2.2 sets out the conceptual and architectural foundations for the decentralised data‑sharing infrastructure to be deployed across the six pilots, outlining how value‑sensitive design, data intermediary theory, infrastructure studies, and platform core/periphery principles guide the creation of a Solid‑based ecosystem for interoperable, privacy‑preserving data exchange. It defines the core components required for organisational data Pods, identity and access management, standardised data models, and data‑import mechanisms, and pairs these with pilot‑specific application plans such as loyalty analytics, SROI dashboards, diversity monitoring tools, narrative‑game data models, simulation toolboxes, and the city‑scale master app. The deliverable serves as a first specification of design requirements grounded in pilot realities and values, establishing the technological blueprint and iterative development roadmap that will underpin data sharing and analytics across all pilots.
Date: January 2026 | Work Package: WP2 | Lead: MUSEUM BOOSTER
Target audiences:
TG1 (CCSI & CH Professionals / Users); TG2 (Networks & Umbrella Organisations); TG7 (Other European Projects)
D2.3 defines the EXCENTRIC Accelerator as a structured, evidence‑driven intervention that transforms diagnostic insights into targeted organisational development, using Digital Maturity Assessment findings to identify “Phantom Zones,” “Split Brains,” and other friction archetypes that impede digital transition. It establishes a multi‑layered support architecture—Core, Cohort, and Orbit—mobilising intrapreneurs, peer‑learning dynamics, and expert mentorship to address structural gaps through tailored learning paths and collaborative “trading routes.” The plan operationalises this logic through five thematic tracks, design and demo formats, and a Community of Practice that fosters psychological safety and collective intelligence. A monitoring framework grounded in the Red Queen hypothesis shifts evaluation toward adaptation velocity, distance travelled, and reduction of governance friction, ensuring that piloting activities generate lasting resilience, not just technical prototypes.