Skip to main content

DARIAH

DARIAH is a pan-European infrastructure for arts and humanities scholars working with computational methods. It supports digital research as well as the teaching of digital research methods.

Posts

  • 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.
    Authors
    • Karina Rodriguez Echavarria
    • Myrsini Samaroudi
    • Nicola Schiavottiello
    Read more
  • Creating Stories with 3D Data on the Web

    EN
    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.
    Authors
    • Karina Rodriguez Echavarria
    • Nicola Schiavottiello
    Read more
  • Linking Digital Heritage, Games and Virtual Tourism

    EN
    This talk gives an overview over developments in digital cultural heritage in recent decades and explores challenges, and opportunities, in the field. It addresses the importance of open, fair and democratic sharing of cultural data, challenges with sustainability of digital projects and how gaming can be a tool for public engagement.
  • Historical Farm and People Registry in Iceland

    EN
    This presentation outlines the aim and scope of the Historical Farm and People Registry project, explains the development process and problems encountered on the way, and demonstrates a use case for the ‘final’ product.
  • Chroma Key Tutorial

    EN
    This tutorial provides a comprehensive guide on using chroma keying, or green screen effects, with the PowerDirector video editing app, showing users how to set up the app, import footage, apply the chroma key effect, and export the final video.
  • Diamond Publication and Open Science at ULiège

    EN
    In this video, presented as part of the Friday Frontiers series, Bernard Pochet traces the evolution of Open Science at the University of Liège in the early 2000s, focusing on Open Access and the implementation of a Diamond Open Access journal publishing platform (PoPuPS) and an institutional repository (ORBi).
  • The CLS INFRA Survey of Methods in Computational Literary Studies

    EN
    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.