Scalable Reading of Structured Data
EN
In this lesson, you will be introduced to ‘scalable reading’ and how to apply this workflow to your analysis of structured data.
Data modeling
Data modeling refers to the process of creating a machine-readable conceptual representation of objects
Resources
The CLS INFRA Survey of Methods in Computational Literary Studies
ENThis 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.Performing Arts: Transitioning to the Digital Age
ENThe 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.Text Analysis - Linguistics Meets Data Science
ENWhat 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.Building and Linking Humanities' Digital Spatial Infrastructures
ENThis 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.Remaking Material Culture in 3D
ENThis course is designed to develop your knowledge of the theory and practice of digitising material culture by producing computer generated and printed 3D models.MaDiH: Research Software Engineering Training
ENHosted 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.An Introduction to Conceptual Modelling
ENThis workshop introduces the basics of conceptual modelling and ontologies.Digitising Dictionaries
ENThis 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.