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This webinar from Prof. Jennifer Edmond and Dr. Eleonora Lima at Trinity College Dublin discusses the Knowledge Technologies for Democracy (KT4D) project and its investigation into how democracy and civic participation can be better facilitated in the face of rapidly changing knowledge technologies, namely Artificial Intelligence (AI) and Big Data.

In this podcast, produced by virtualculture.ch, sociologist Jane Haller, Digitales Schaudepot president, is conversing with Sorin Marti, a data steward in the Research Infrastructure Support Entity (RISE) at the University of Basel to discuss aspects of data management for public consumption.

This lesson demonstrates how to use the Python library spaCy for analysis of large collections of texts. This lesson details the process of using spaCy to enrich a corpus via lemmatization, part-of-speech tagging, dependency parsing, and named entity recognition. Readers will learn how the linguistic annotations produced by spaCy can be analyzed to help researchers explore meaningful trends in language patterns across a set of texts.

This resource is an introduction to the photogrammetry technique to capture visual data about cultural heritage assets and produce associated 3D models.

This resource offers a starting point to learn more about the different types of multidimensional media, as well as managing media in a way which promotes the FAIR principles. The resource also introduces the concept of a Virtual Research Environment to support retrieval and curation of multidimensional data for storytelling via interoperable frameworks.

This resource is an introduction to 360 degrees panorama photography. It explores different types of panoramic representations and examples of 360 degree panoramas in the cultural heritage domain. Practical advice and step by step guidance on how to capture data and process them is also included in order to produce and publish 360 degrees panorama images.

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 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.

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.

A partnership between Kazerne Dossin and EHRI was established to enable sharing of metadata with a broader audience. This partnership resulted in changes to the practices of cataloguing archival materials within Kazerne Dossin. Using the example of the Lewkowicz family collection, this article focuses on the revolution Kazerne Dossin went through while standardising descriptions, and on the tools EHRI provided to optimise the workflow for collection holding institutes.

Data is now an indispensable part of investigative work and storytelling for journalists and newsrooms. Computational methods and artificial intelligence are making their way to newsrooms more than ever before, and promise to open up new opportunities for journalists, as well as new challenges. This talk provides an overview of how data and Artificial Intelligence can be used in the journalism workflow, investigative reporting and storytelling.

Many Galleries, Libraries, Archives, and Museums (GLAMs) face difficulties sharing their collections metadata in standardised and sustainable ways, meaning that staff rely on more familiar general purpose office programs such as spreadsheets. However, while these tools offer a simple approach to data registration and digitisation they don't allow for more advanced uses. This blogpost from EHRI explains a procedure for producing EAD (Encoded Archival Description) files from an Excel spreadsheet using OpenRefine.

The Fortunoff Visual Search is a tool for both data visualisation and collection discovery from the Fortunoff Video Archive for Holocaust Tesimonies. This blogpost demonstrates the Visual Search tool in the Fortunoff Video Archive, including the search and filtering interface, as well as interpreting the resulting visualisations

In the late 1930s, just before war broke in Europe, a series of chaotic deporations took place expelling thousands of Jews from what is now Slovakia. As part of his research, Michel Frankl investigates the backgrounds of the deported people, and the trajectory of the journey they were taken on. This practical blog describes the tools and processes of analysis, and shows how a spatially enabled database can be made useful for answering similar questions in the humanities, and Holocaust Studies in particular.

This blog discusses the applicability of services such as automatic metadata generation and semantic annotation for automatic extraction of person names and locations from large datasets. This is demonstrated using Oral History Transcripts provided by the United States Holocaust Memorial Museum (USHMM).

This blog post from EHRI introduces 'quod' (querying OCRed documents), a prototype Python-based command line tool for OCRing and querying digitised historical documents, which can be used to organise large collections and improve information about provenance. To demonstrate its use in context, this blog takes the reader through a case study of the International Tracing Service, showing workflows and the steps taken from start to finish.

This blog examines TEITOK, which is a corpus framework used as an alternative to Omeka. TEITOK is centered around texts and is similar to the Omeka interface – both allow you to search through the documents, and display the transcription. The main difference is that Omeka treats the transcription as an object description, whereas TEITOK not only shows that a word appears in a document, but also where it appears and how it is used.

This keynote lecture delivered at the DARIAH Annual Event 2021 by Sarah Kenderdine explores how computation has become 'experiential, spatial and materialized; embedded and embodied'.

In this lecture, Mark Cote takes us on a journey through a host of research projects that contextualise the way that he and other researchers try to address cultural data.