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The Cultural Heritage Cloud (ECCCH) is a major European initiative designed to provide heritage professionals and researchers with access to data and advanced digital tools. The goal of this course is to build learners’ foundational understanding of the key concepts and technologies necessary to engage with the cloud, demonstrate some of its practical tools and applications, and inspire their further exploration of digital transformation in the heritage and research domains.

This resource introduces the basic concepts of 3D modelling for cultural heritage, focusing on 3D acquisition techniques and the broader concept of Aware Heritage Modelling. Three modelling approaches are presented: source-based, reality-based and hybrid. In addition,the course addresses the role of critical documentation, AI and FAIR principles.

The resource explores how IoCT technologies power Reactive Digital Twins in ARTEMIS, transforming real-time data into intelligent actions for cultural heritage monitoring and protection.

This resource provides an overview of how Artificial Intelligence and semantic technologies can support the development of Intelligent Digital Twins for cultural heritage. It explores semantic search systems, vector embeddings, predictive modelling, and simulation environments capable of transforming fragmented datasets into accessible and meaningful knowledge.

This resource introduces the fundamental concepts of cloud computing. Particular emphasis is placed on how cloud technologies support scalable, secure, and flexible environments for data storage, analysis, and application deployment.

This resource explores the challenges of validation within complex spatial simulation projects. Drawing on practical examples connected to ARTEMIS activities, the session discusses how complexity emerges from interconnected data flows, historical accuracy requirements, simulation layers, and collaborative workflows.

This resource discusses how the ARTEMIS project combines artificial intelligence, network science, knowledge graphs, and semantic ontologies to transform unstructured cultural heritage data into structured, machine-readable knowledge supporting Reactive Heritage Digital Twins (RHDTs).

This resource focuses on immersive environments and multi-scale digital models as tools for scientific research, interpretation, and collaborative decision-making. Through examples ranging from biological systems and agriculture to archaeological reconstructions and heritage site analysis, it demonstrates how virtual reality (VR) technologies, digital twins, and semantic data integration can enhance the understanding of complex datasets and spatial environments.

This resource introduces the fundamental concepts of Augmented Reality (AR) and Virtual Reality (VR), presents contemporary AR/VR headsets and their capabilities and explains how immersive technologies can support the use of Reactive Heritage Digital Twins (RHDTs) for information visualization, annotation and collaborative interaction within virtual environments.

This resource aims to acquaint both DH experts and the general audience with the general idea, the workflows and advantages of transforming manual object reassembly and restoration into a digital twin.

This international workshop, funded by the DARIAH Working Group Activities 2023-2025 programme, was organised by the CNR Institute of Heritage Science with the Cyprus Institute and the University of Catania, supported by the Municipality of Poggioreale. It addressed digital methods for conserving and reusing tangible and intangible construction heritage, highlighting Heritage Building Information Modelling for data acquisition, interoperability, and interdisciplinary collaboration.

This resource introduces the pillar concepts of the ARTEMIS project: the Heritage Digital Twin (HDT), the ARTEMIS ontology, the Knowledge Base (KB) and the Reactive Heritage Digital twin (RHDT).

This resource discusses the risks that cultural heritage faces at the moments and the needs that digital technologies must meet to prevent those risks. The course presents frameworks, guidelines and policies that surround heritage risk management and best practices.

This resource explores how a digital twin can represent, connect, and reason about entities of the real world through structured knowledge. It defines a semantically grounded approach to knowledge integration, management, and reasoning in the Cultural Heritage domain.

This resource is an introduction to building semantic and interoperable digital models for Reactive Heritage Digital Twins (RHDTs). It show how the respective ontology and CIDOC-CRM aligned modules enable interoperability across domains and support reasoning within the ARTEMIS Knowledge Base.

Born-digital culture refers to materials, environments and practices that originate in a digital form. In the 21st century these have rapidly expanded, with many of our contemporary cultural practices increasingly mediated in some way by digital media and technologies. In this course, designed by the Digital Humanities Research Hub at the School of Advanced Study, University of London, you will explore key concepts associated with digital culture and archives, ethical issues, and how to collect and analyse born-digital materials.

In this podcast, produced by virturalculture.ch, Jane Haller, a sociologist, digital project manager, and president of the Digitales Schaudepot, is in conversation with Esaù Dozio, a curator at the Antikenmuseum Basel. Within their chat, they discuss the process of selecting items for special exhibitions, and the mistakes and challenges that can arise.

What does "curating data stories" mean from a technical and academic perspective? This podcast from the curiositas5.0 project features a discussion between Jane Haller and Joana Meier about experimenting with digital exhibitions.

In this podcast, produced by virtualculture.ch, sociologist Jane Haller, Digitales Schaudepot president, is conversing with Sorin Marti, a data steward in the Research Infrastructure Support Entity (RISE) at the University of Basel to discuss aspects of data management for public consumption.

In the following talks, selected from the 6th Digital History in Sweden Conference, the learner will gain new perspectives on the use of AI and citizen science in digitization and digital history projects. In addition, the learner will gain insight into the creation and care of digital archives applying postcolonial perspectives.

This course provides the essential knowledge and skills to understand and efficiently use Cultural Heritage data. Guided by Prof. Lorena, a persona created for the course, participants explore the significance of CH data, its types, and formats. They learn to identify sources for data acquisition and apply techniques to enhance data quality. The course also covers methods for organizing CH data, introduces key metadata standards, and examines current trends and technologies in the field.

This course provides a comprehensive overview of cultural heritage data modelling, focusing on structuring and documenting information within the context of cultural heritage institutions. Participants will learn to represent information using entities and relationships, applying relevant metadata standards. The course emphasises the importance of understanding data models for reusing both data and metadata, with a specific focus on the Europeana Data Model (EDM) and its application in academic and research settings.

This course provides a comprehensive understanding of Europeana as a digital platform through a walkthrough of the Application Programming Interfaces (APIs) it offers. It provides the knowledge and skills to understand the purpose they serve and the functionality they have, to exploit them by formulating efficient queries for cultural heritage information retrieval. Building on use cases, it delves into the APIs required to achieve research goals, exploring their features and providing familiarisation with supported data formats.

The goal of this course is to introduce the Collections as Data principles in the cultural heritage sector to make available a digital collection suitable for computational use. Students will have a fundamental understanding of the complexities of Collections as Data as well as an appreciation of the diversity of the content provided by cultural heritage institutions. This course will be useful for small and medium-sized institutions willing to make available their digital collections suitable for computational use.