Data visualisation

Resources

• Introduction to Network Analysis in the Humanities

  EN

  This online workshop is organised within the framework of the Computational Literary Studies Infrastructure (CLS INFRA) project. The event introduces the fundamentals of network analysis for humanities scholars, combining historical and literary case studies with hands-on practice. Participants will explore networks of literary characters, letter correspondence, and historical actors, and learn to visualise and interpret these structures using accessible tools like Gephi and EzLinaVis.

• Digital Integrated Strategies to Safeguard Heritage Construction Technologies

  EN

  This international workshop, funded by the DARIAH Working Group Activities 2023-2025 programme, was organised by the CNR Institute of Heritage Science with the Cyprus Institute and the University of Catania, supported by the Municipality of Poggioreale. It addressed digital methods for conserving and reusing tangible and intangible construction heritage, highlighting Heritage Building Information Modelling for data acquisition, interoperability, and interdisciplinary collaboration.

• Digging for Gold - Knowledge Extraction from Text

  EN

  This three-day international training school in Knowledge Extraction from Text from the CLS Infra project offered a crash course in how to "Dig for Gold" in a corpus of texts. From Stylometry to Natural Language Processing, learners will be able to follow along using 'plug and play' tools, while also getting a brief introduction to Python and R.

• Building and Linking Humanities' Digital Spatial Infrastructures

  EN

  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.

• Visual Analytics - Enabling Images to Speak for Themselves

  EN

  In this lecture from the Austrian Centre for Digital Humanities and Cultural Heritage (ACDH-CH), Björn Ommer discusses Visual Analytics's concern of how to teach machines to enable visuals to speak for themselves. Pointing out the current inadequacy of research tools in the humanities, Ommer discusses questions such as "How would research in the humanities benefit if computers could handle images just as competently as they presently process text?"

• Using Spatial Data in Tableau

  EN

  Tableau is a powerful digital tool for analysing data that can help with mapping and interrogating data. In this short guide we will focus on an aspect of data analysis using mapping that has particular application for Holocaust and refugee studies.

• Using OpenCV for Face Detection

  EN

  OpenCV is a very popular, free and open source software system used for a large variety of computer vision applications. This article is intended to help you get started in experimenting with OpenCV using an example of face detection in images as a case study.

• Using Named Entity Recognition to Enhance Access to a Museum Catalog

  EN

  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).

• Things that Poems Taught me about Visualization

  EN

  In this lecture from the Austrian Centre for Digital Humanities and Cultural Heritage (ACDH-CH), Miriah Meyer reflects on the question "why work with humanists as a computer scientist". She expands on how interdisciplinary collaborations with poetry scholars have shaped her own research thinking.

• Text Mining YouTube Comment Data with Wordfish in R

  EN

  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.

• Spatial Queries and the First Deportations from Slovakia

  EN

  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.

• Shaping the Unseen - Behind the Scenes of Data Visualization

  EN

  In this lecture from the Austrian Centre for Digital Humanities and Cultural Heritage (ACDH-CH), Jan Willem Tulp gives an overview of data visualisation as a type of data representation. Additionally, he discusses types of visualisation such as impression or experience as well as case studies, such as the European Space Agency or Tulp's project on 2012 national elections in the Netherlands.

• Sentiment Analysis with 'syuzhet' using R

  EN

  This lesson teaches you how to obtain and analyse narrative texts for patterns of sentiment and emotion. The 'syuzhet' sentiment analysis algorithm, along with the programming language R, will be used, demonstrating the techniques to allow learners to follow along.

• Remaking Material Culture in 3D

  EN

  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.

• Regression Analysis with Scikit-learn (part 2 - Logistic)

  EN

  This lesson is the second in a two-part lesson focusing on regression analysis. It provides an overview of logistic regression, how to use Python (Scikit-learn) to make a logistic regression model, and a discussion of interpreting the results of such analysis.

• Regression Analysis with Scikit-Learn (part 1 - Linear)

  EN

  This lesson is the first of a two-part lesson focusing on an indispensable set of data analysis methods, logistic and linear regression. It provides an overview of linear regression and walks through running both algorithms in Python (using Scikit-learn). The lesson also discusses interpreting the results of a regression model and some common pitfalls to avoid.

• Photogrammetry 3D Digitisation

  EN

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

• My Digital Humanities: Visualising Text

  EN

  This video features Geoffrey Rockwell, Professor of Philosophy and Humanities Computing at the University of Alberta, Canada and Stéfan Sinclair, Associate Professor of Digital Humanities at McGill University. Their discussion involves text visualisation within Digital Humanities, thus emphasising, that visualisation is not the end product, but an intellectual process of thinking and interpreting text.

• More Watching, Less Searching: Repurposing Fortunoff Archive Metadata for Visual Searching

  EN

  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

• Making an Interactive Web Application with R and Shiny

  EN

  This lesson demonstrates how to build a basic interactive web application using Shiny, a library (a set of additional functions) for the programming language R. In the lesson, you will design and implement a simple application, consisting of a slider which allows a user to select a date range, which will then trigger some code in R, and display a set of corresponding points on an interactive map.

• Looking for Revolution in the Data Pool

  EN

  In this lecture from the Austrian Centre for Digital Humanities and Cultural Heritage (ACDH-CH), Keith Baker addresses the Digital Humanities dimensions of two projects ('Writing Rights' and 'Revolutionizing Revolution') against the academic background at Stanford. This lecture gives special attention to exploring the possibilities of digital archives as well as visualisation in the field of history.

• Introduction to Programming for NLP with Python

  EN

  The aim of this virtual course is to offer basic knowledge and skills in programming in Python. Target audiences are undergraduate and graduate students in the Humanities and Social Sciences who want to acquire hands-on knowledge and skills in working with textual data or quantitative data in language and humanities research.

• Introduction to Map Warper

  EN

  This lesson from Programming Historian introduces basic use of Map Warper for historical maps. It guides you from upload to export, demonstrating methods for georeferencing and producing visualizations.

• Evaluation of Digital Heritage Experiences

  EN

  This resource discusses various approaches and methods to evaluate digital or hybrid interactive experiences, which support the interpretation of heritage assets. The resource also aims to support researchers' and practitioners' practical understanding of evaluation methods and tools to capture audiences' engagement with media and explore technology impact.

• Entity Matching

  EN

  EHRI (European Holocaust Research Infrastructure) supports the use of digital tools that can assist in the research of Holocaust and refugee related topics. In a continued effort to make these tools as accessible as possible so that researchers who have no experience with digital tools will consider trying new ways of using their data, this GitHub-based lesson showcases the use of entity match tools when dealing with geographic data.

• Digitization Workflow: Talk with Esaù Dozio, a Curator's View

  EN

  In this podcast, produced by virturalculture.ch, Jane Haller, a sociologist, digital project manager, and president of the Digitales Schaudepot, is in conversation with Esaù Dozio, a curator at the Antikenmuseum Basel. Within their chat, they discuss the process of selecting items for special exhibitions, and the mistakes and challenges that can arise.

• Digitisation with 360 Degrees Photography

  EN

  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.

• 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.

• Digital Historical Research on European Historical Newspaper with NewsEye Platform

  EN

  Since their beginnings in the 17th century, newspapers have recorded billions of events, stories and personal names in almost every language and every country daily. This course from DariahTeach provides an introduction to digitised historical newspaper analysis, incorporating methods of Natural Language Processing for discovering, exploiting and visualising newspapers.

• 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.

• Designing a Deck of Timeline Cards for Tabletops and Tabletop Simulator

  EN

  This lesson demonstrates how to use nanDECK to design and publish your own deck of printed or digital playing cards, and use them to test a group's knowledge of historical events through a Timeline-like game mechanic. This lesson will also highlight best practices for handling digitized historical objects.

• Data Analysis with Python

  EN

  This course from dariahTeach introduces learners to the theoretical and practical foundations of an analysis of socio-cultural objects using Python through theoretical grounding and hands-on case studies. Students will work through several research use cases using basic machine learning, and employ network analysis to split a small community network into groups and clusters before finally learning more about visualisation and image analysis.

• 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.

• Creating Interactive Visualizations with Plotly

  EN

  This lesson demonstrates how to create interactive data visualizations in Python with Plotly's open-source graphing libraries using materials from the Historical Violence Database.

• Clustering and Visualising Documents Using Word Embeddings

  EN

  This lesson uses word embeddings and clustering algorithms in Python to identify groups of similar documents in a corpus of approximately 9,000 academic abstracts. It will teach you the basics of dimensionality reduction for extracting structure from a large corpus and how to evaluate your results.

• Visualising Knowledge: 3D Digital Editions and Their Scholarly Potential

  EN

  Scholarship in three dimensions can transcend the limitations of traditional two-dimensional representations of objects that exist in the physical world in three dimensions. This presentation showcases the scholarly potential of 3D digital scholarly editions, advocating for their adoption as a new tool in the DH toolkit for new formats for the dissemination and interrogation of knowledge.

• Visual Data Discovery for the SSH Context

  EN

  The training session is dedicated to Visual Data Discovery in the Social Sciences and Humanities and shows how the GoTriple platform will support exploring research topics with visual search. The added value of knowledge maps and streamgraphs for research discovery are also examined.

• Reconstruction Of Archaeological Objects As A Digital Twin

  EN

  This resource aims to acquaint both DH experts and the general audience with the general idea, the workflows and advantages of transforming manual object reassembly and restoration into a digital twin.

• Queens of Humanities

  EN

  How do we tell the story of humanities as the essence of understanding humankind in all its aspects and bring it back to the table as an equal partner of science? Seeking an answer to this question, this webinar (delivered as part of the DARIAH Friday Frontiers series) presents the scope and dissemination of the Queens of Humanities campaign that ran in 2022, led by OPERAS-PL. Its purpose was to promote innovative humanistic approaches and show their relevance in today's world.

• Mapping Science in Immersive Architectures

  EN

  In this webinar from Friday Frontiers, Dario Rodighiero (University of Groningen) discusses visualisation and representation of scholarly knowledge. This presentation brings science mapping back to its original meaning by widening its context to arts and humanities with the help of design.

• 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.

• Geographical Text Analysis

  EN

  Geographical Text Analysis (GTA) is a relatively recent development in the approach to studying, analysing, and extracting the content of textual sources that offers a new method for combining techniques from Natural Language Processing (NLP), Corpus Linguistics, and Geographic Information Systems (GIS) in Humanities research. This module offers a step-by-step guide with real data, with a focused interest in querying the geographic nature of textual sources, and analysis of spatial information on a large scale.

• Fostering Data Sharing in the Humanities with Open-source software

  EN

  Incentives and advocacy of open science principles have spread for more than two decades in the social sciences and humanities. In this presentation, taking archaeology as a case study, the underlying principles of the “archeoViz” ecosystem will be presented and illustrated, to fuel a more general discussion about the advocacy of open science principles in the social sciences and humanities.

• Data Journalism and AI: New frontiers in investigation and storytelling

  EN

  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.

• R you Ready? Data analysis in R

  EN

  Using the reader survey R package LitRiddle, this resource offers a gentle introduction to tabular data analysis in Rstudio. Following along the code examples, students will learn about Rstudio, Markdown files, and how to explore, analyse and transform quantitative data in R.

• 3D Acquisition Technique and Aware Heritage Modelling

  EN

  This resource introduces the basic concepts of 3D modelling for cultural heritage, focusing on 3D acquisition techniques and the broader concept of Aware Heritage Modelling. Three modelling approaches are presented: source-based, reality-based and hybrid. In addition,the course addresses the role of critical documentation, AI and FAIR principles.

• A Basic Introduction to Geographic Information Systems (GIS)

  EN

  This pathfinder provides an introduction to Geographic Information Systems (GIS), covering analysis and visualization. It explains various spatial methods and each method is explained with a definition, practical examples and links to free resources online for further reading and exploration.