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What connects analysing the creative process of a performance using 20,000 collected digital documents, reconstructing an artist's career from programme data, and preserving a touring show? Following a state-of-the-art review of research in performing arts and digital humanities (literature, history, and representation analysis), this Friday Frontiers webinar addresses current challenges, including data modelling, multimodal analysis, and artificial intelligence.

This lesson covers tokenization, part-of-speech tagging, and lemmatization, as well as automatic language detection, for non-English and multilingual text. You'll learn how to use the Python packages NLTK, spaCy, and Stanza to analyze a multilingual Russian and French text.

In this lesson, you will learn how to download YouTube video comments and use the R programming language to analyze the dataset with Wordfish, an algorithm designed to identify opposing ideological perspectives within a corpus.

Humanities and social scientific data is fundamentally different in type to a great deal of data available in the sciences. This resource will help you to understand your data, and therefore how to handle it. This resource looks at humanities data and its reliability, as well as different types of data you may encounter.

A digital gazetteer records information associated with specific places. This lesson teaches you how to create a gazetteer from a historical text, using the Linked Places Delimited (LP-TSV) format.

\"What gets into your dataset and what doesn't?\" For database projects in the humanities and social sciences, having a concrete idea of your project scope can be very important. This resource covers scoping methods for Database projects to help narrow down and accurately size the database you are working with in your research.

What does "curating data stories" mean from a technical and academic perspective? This podcast from the curiositas5.0 project features a discussion between Jane Haller and Joana Meier about experimenting with digital exhibitions.

The data you generate in humanities and social science projects may well need longer term storage beyond the scope of your own research project. Medium to long term data storage is vital for allowing other scholars to examine and test your data and models, and ensuring open access to your data is an increasingly prominent issue. This resource will guide you through a thoughtful discussion of Data Management and Storage.

This short course will help learners understand how to work with Git in a collaborative setting such as teamwork or group projects, and how to make use of platforms like GitHub or GitLab to complete that work.

This article introduces the main concepts in Git and basic Git commands that can be used from the command line. Understanding these commands will help you with using Git in a code editor, the Git desktop and other options, like GitHub online.

Getting access to the data on GitLab is different on all three operating systems. This post shows how to use the code editor VS Code with its graphical user interface for working collaboratively in Git with Windows, Mac and Linux.

This resource offers an introduction to copyright laws within the UK context when dealing with multidimensional media from repositories, archives and collections from that country.

In this resource students will learn what a database is and how it is used in humanities research, go through examples of Humanities Databases in use by researchers today, learn when a researcher would need to use a database and how to distinguish between different database technologies.

Dieser Kurs gibt einen Einblick in die langfristige Bewahrung digitaler Daten, d.h. die Archivierung digitaler Daten. Es werden praktische Tipps aus der Perspektive der Datenersteller gegeben.

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.

Anschließend an die "Grundlagen des Datenmanagements" und der praktischen Übung zu Datenmanagement bietet dieser Kurs eine Einführung in das Thema Metadaten. Was sind Metadaten? Aus welchen Komponenten bestehen sie? Und welche Typen von Metadaten können wir unterscheiden?

Dieses Kapitel erläutert einige grundlegende Regeln für ein aktives und gutes Datenmanagement und beschreibt, wie Dateien und Ordner sinnvoll und eindeutig benannt und strukturiert werden können, wie man mit Versionierung arbeitet und welche Dateiformate für die Nachnutzbarkeit und Langzeitarchivierung geeignet sind.

This post is a quick reference guide to the DYLEN tool, an interactive visualisation tool that the Diachronic Dynamics of Lexical Networks project team created to provide insights into the dynamic lexical changes of Austrian German during the 21st century. It helps lexicographers and linguists to analyse the development of Austrian German lexemes over the course of time. It is an open source tool that can be used free of charge.

In this lesson, you will use Qt Designer and Python to design and implement a simple graphical user interface and application to merge PDF files. This lesson also demonstrates how to package the application for distribution to other personal computers.

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.

An entity is an object with its own characteristics, defined according to the specificities of a given field. This resource covers associations between entities, attributes of entities, identifiers of entities and cardinalities of entities.

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.

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.

In this lesson, you will be introduced to 'scalable reading' and how to apply this workflow to your analysis of structured data.

This curriculum introduces main concepts of Git. It offers a step-by-step tutorial for beginners to get started with Git, a free and open-source version control system.