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 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.
This resource provides guidance on how to use digital storytelling, deploying 3D data, annotations and combining media to enable users to access and explore information about digital heritage assets over the web.
This resource from the CLS INFRA project offers an introduction to several research areas and issues that are prominent withinComputational Literary Studies (CLS), including authorship attribution, literary history, literary genre, gender in literature, and canonicity/prestige, as well as to several key methodological concerns that are of importance when performing research in CLS.
The conference aimed to examine the possibilities of connecting information sciences and computer science with performing arts, focusing on three thematic blocks: archiving, artistic practices and scholarly research. The international scientific and professional conference is part of the project of the same name by the DARIAH-EU Working Group Theatralia, which is dedicated to the research of digital technology in the performing arts and the digitization of theatralia, financed from DARIAH-EU funds.
What are the differences between a data scientist and a corpus linguist? This course provides an overview of the different perspectives on language and different types of tools that can be used for text analytics. It also introduces topic modelling and sentiment analysis as approaches to textual data.
This workshop, focussing on "Spatial data medieval to modern", is the first of a series of workshops from the NOS-HS project "Linking, Building, and Sustaining Humanities Digital Spatial Infrastructures for Research in the Nordic Countries". The main aims of this workshop were to define key concepts (spatial infrastructures, Linked Open Data, metadata, ontology), outline major challenges in the field, and to provide an opportunity to share experiences of addressing the issues in individual and national projects across the Nordic countries.
This course is designed to develop your knowledge of the theory and practice of digitising material culture by producing computer generated and printed 3D models.
Hosted by King’s Digital Lab (KDL) at King’s College London, the workshop introduced participants to best practices in project management, the Agile Dynamic System Development Methods (DSDM) as well as various theoretical and practical approaches to digital cultural heritage.
This course is an introduction to the theories, practices, and methods of digitizing legacy dictionaries for research, preservation and online distribution. It focuses on a particular technique of modeling and describing lexical data using eXtensible Markup Language (XML) in accordance with the Guidelines of the Text Encoding Initiative, a de-facto standard for text encoding among humanities researchers.
