DARIAH

Posts

• Copyright of 3D Data

  EN

  This resource offers an introduction to copyright laws within the UK context when dealing with multidimensional media from repositories, archives and collections from that country.

• Automatic Text Recognition (ATR) - Getting Started

  EN

  Kick off your journey into Automatic Text Recognition (ATR) with our introductory tutorial video. This is the first video of a tutorial series dedicated to extracting full text from scanned images.

• Data and Databases: An Introduction

  EN

  In this resource students will learn what a database is and how it is used in humanities research, go through examples of Humanities Databases in use by researchers today, learn when a researcher would need to use a database and how to distinguish between different database technologies.

• Photogrammetry 3D Digitisation

  EN

  This resource is an introduction to the photogrammetry technique to capture visual data about cultural heritage assets and produce associated 3D models.

• FAIR Multidimensional Data

  EN

  This resource offers a starting point to learn more about the different types of multidimensional media, as well as managing media in a way which promotes the FAIR principles. The resource also introduces the concept of a Virtual Research Environment to support retrieval and curation of multidimensional data for storytelling via interoperable frameworks.

• OCR with Google Vision API and Tesseract

  EN

  Google Vision and Tesseract are both popular and powerful OCR tools, but they each have their weaknesses. In this lesson, you will learn how to combine the two to make the most of their individual strengths and achieve even more accurate OCR results.

• An Introduction to Prosopography

  EN

  This resource helps students tackle key prosopography challenges, such as disambiguating individuals with the same name, handling anonymous entries, and recognizing fictional people, known as the Rusudan Problem. Additionally, this resource focuses on the theory of identity, where roles, titles, and historical presence may be disputed but still carry an assumed "correct" interpretation. Fluid identities—such as ethnicity, gender, and religion—are more complex and require careful modeling in databases. The course also covers how to scope projects effectively by defining clear research questions and boundaries.

• Digitisation with 360 Degrees Photography

  EN

  This resource is an introduction to 360 degrees panorama photography. It explores different types of panoramic representations and examples of 360 degree panoramas in the cultural heritage domain. Practical advice and step by step guidance on how to capture data and process them is also included in order to produce and publish 360 degrees panorama images.

• Introduction to Artificial Intelligence Prompt Engineering

  EN

  In this resource, learners will receive an introduction to artificial intelligence through the exploration of prompt engineering across text to text and text to image interfaces. Learners will also explore the positive varied applications of AI as well as the drawbacks.

• A Basic Introduction to Geographic Information Systems (GIS)

  EN

  This pathfinder provides an introduction to Geographic Information Systems (GIS), covering analysis and visualization. It explains various spatial methods and each method is explained with a definition, practical examples and links to free resources online for further reading and exploration.

• Data and Databases: Entities and Relationships

  EN

  An entity is an object with its own characteristics, defined according to the specificities of a given field. This resource covers associations between entities, attributes of entities, identifiers of entities and cardinalities of entities.

• Introduction to Cultural Heritage Data Modelling — with a focus on Europeana Data Model

  EN

  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.