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Data modeling

Data modeling refers to the process of creating a machine-readable conceptual representation of objects

Resources

  • Performing Arts: Transitioning to the Digital Age

    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.
    Authors
    • Anamarija Žugić Borić
    • Antonia Hladilo Duspara
    • Koraljka Kuzman Šlogar
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  • Text Analysis - Linguistics Meets Data Science

    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.
  • Building and Linking Humanities' Digital Spatial Infrastructures

    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.
    Authors
    • Alexandra Petrulevich
    • Sara Ellis Nilsson
    • Peder Gammeltoft
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  • Digitizing the Materiality of the Premodern Book

    The foundational skills at the intersection of digitization, bibliography, and the Digital Humanities are crucial for many scholars, yet instruction frequently only covers one maybe two of these intersecting aspects. For example, use of the Text Encoding Initiative XML standard is increasingly the norm in digital scholarly editing, but many individuals working with textual materials do not have access to relevant scholarly training in DH. Conversely, many DH departments, lack rare book specialists. The goal of this video class is to teach the necessary skills for understanding how the materiality of pre-modern books can be digitized and provide a foundation for putting those skills into practice. After completing this course, students will understand the fundamentals of digitization and how books and manuscripts are described in the TEI, including the msdescription and transcription modules. This class is part of the project Digitizing the Materiality of the Premodern Book and licensed Creative Commons BY NC SA. This project (2022-2023) is funded by CLARIAH-AT with the support of BMBWF. The videos were produced by Moving Stills.
  • Remaking Material Culture in 3D

    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.
  • MaDiH: Research Software Engineering Training

    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.
  • Digitising Dictionaries

    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.