Articles 

27 May

Cultural Memory in the Age of Data Infrastructures

The article focuses on digital repositories and archives in the field of digital humanities and highlights the importance of understanding humanities data as carriers of interpretation, context, and cultural memory.

27 Mar

When the Public Helps Science: Crowdsourcing in Digitization

How can the public contribute to scientific research? This article explores the role of crowdsourcing in digitization processes and shows how volunteers help process historical documents and other cultural data.

27 Feb

Transformations of Text Editions and Storytelling in the Digital Age

How can digital editions tell stories? This article focuses on how interactivity and digital storytelling are transforming work with textual sources in the field of digital humanities. It shows that digital editions are a new form of publication that provides space for interpretation, structuring knowledge, and sharing research results with both experts and students.

16 Dec 2025

From Medieval Documents to Digital Archiving: Interview With Stanislav Bárta

Medieval sources in the digital age? Stanislav Bárta researches the documents of Sigismund of Luxembourg, archival theory, and trends in digital humanities. In this interview, he outlines how modern technology can help make historical documents more accessible.

19 Nov 2025

Data Cleansing Tools and Methods

The article provides a comprehensive overview of the main techniques and available tools currently used for cleaning and preparing data, taking into account their size, the technical skills of users, and project requirements.

Research Data in the Humanities 

Open science emphasizes the accessibility of research data, including in the humanities. But what does data mean in this context? And why is it not neutral? Read this article, which explores the philosophical and practical aspects of the concept of data in the humanities and highlights the importance of the humanities perspective for understanding data culture.

3 Oct 2025

Extracting data from historical texts using Large Language Models

Large Language Models (LLMs) hold significant promise for extracting information from historical texts. If used appropriately, they can speed up the research process, compensating for resource limitations and helping researchers achieve ambitious objectives in quantitative cultural history.

2 Sep 2025

Data Cleansing as a Prerequisite for High-Quality Data Analysis

An often overlooked yet crucial stage of working with data is cleaning. It is at this stage that it is decided whether the results of the analysis will be truly reliable or whether they will result in an inaccurate picture of reality. Let's take a look at why data cleaning is indispensable for every step from modeling to interpretation, and why analysts should pay as much attention to it as they do to visualizations or conclusions themselves.