Resources

• 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.

• Corpus Query Language im Austrian Media Corpus

  DE

  Diese Ressource stellt den Austria Media Corpus (amc) und seine Nutzungsmöglichkeiten vor. Sie erklärt die Durchführung von Abfragen in der corpus query engine namens Sketch Engine. Im Besonderen geht es um die Einführung in Sketch Engine's "Corpus Query Language" (CQL). Das Ziel des Tutorials ist es, den Benutzern des Austrian Media Corpus (amc) einen einfachen Einstieg in die Abfrage des amc mit der Sketch Engine und CQL zu ermöglichen. Daher ist das Tutorial bewusst in deutscher Sprache gehalten. Alle Beispiele im Tutorial sind direkt dem amc entnommen.

• 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.

• 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.

• 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.

• Introduction to Europeana APIs

  EN

  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.

• Data Ethics in Cultural Heritage

  EN

  This resource aims to introduce the main aspects of data ethics in the cultural heritage domain. It also examines how data management can be supported to become more ethical, while also addressing topical discourse about data ethics in the sector. The resource also aims to support in critically reflecting on some case studies with evident digital data ethics considerations.

• Digital Exhibition Design

  EN

  This resource provides guidance on digital practices to curate interactive experiences through a set of practical exercises. The resource aims to support GLAM’s researchers and practitioners to engage with their audiences through the design of multimedia applications, while making use of appropriate frameworks and tools.

• Introduction to Cultural Heritage Data

  EN

  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.

• Introduction to Collections as Data

  EN

  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.

• Digitisation Methods for Material Culture

  EN

  This resource is an introduction to Digitisation Methods for Material Culture. The resource explores basic topics with regards to the study of material culture, while also looking at types of media as means to communicate and share information about it, as well as digitisation methods to capture material culture data.