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Cross-profile recurring insights

5.6 Cross–profile recurring insights

Across profiles, six transversal insights emerge clearly from the survey results.

  • First, digital practices evolve in parallel rather than converging. Each professional group develops a relatively coherent internal technological ecosystem – tools, data types, workflows and formats – but these ecosystems remain weakly aligned with one another. Fragmentation is therefore structural, not accidental, and persists even within digitally mature institutions.

  • Second, increased technological adoption expands data richness but simultaneously intensifies organisational and integration complexity. Profiles working with advanced imaging, 3D pipelines, scientific diagnostics or structured database systems consistently manage broader and more heterogeneous data environments, and consequently report higher interoperability, coordination and maintenance burdens. Digital maturity amplifies systemic pressure rather than resolving fragmentation.

  • Third, the absence of shared standards and interoperable frameworks remains a cross-cutting constraint. While specialised clusters adopt role-specific standards, no common backbone connects data ecosystems across profiles. Even where advanced tools are used, outputs frequently return to non-structured or proprietary formats, limiting reuse and long-term integration.

  • Fourth, real-time data integration remains structurally marginal across almost all roles. With the partial exception of monitoring-oriented profiles, most workflows rely on manual, campaign-based or post-processed data acquisition. Continuous or automated data flows are rare and not embedded in routine institutional practice.

  • Fifth, a persistent gap emerges between interest and actual adoption. Across 3D modelling, simulations and Digital Twins, declared interest systematically exceeds regular use. The sector appears conceptually aligned with advanced digital approaches, yet organisational, infrastructural and resource constraints slow their operational integration.

  • Finally, perceptions of Digital Twins reflect disciplinary priorities: monitoring and prediction among conservators and scientists; planning among architects; reconstruction among humanities roles; data integration among collection managers; and engagement among educators and VR/AR specialists. Despite these differences, expectations remain broadly positive.

Taken together, these recurring insights depict a sector rich in digital experimentation but characterised by parallel ecosystems, uneven infrastructural capacity, and limited cross-role integration. The primary challenge is not technological availability, but the absence of shared organisational and semantic frameworks capable of linking data, tools and professional practices into a coherent digital continuum.