DARIAH-Campus is a discovery framework and hosting platform for DARIAH learning resources.http://localhost:3000/Tue, 07 Jan 2025 16:35:23 GMT2025-01-07T16:35:23.492Z© 2025 DARIAH© 2025 DARIAHDigital HumanitiesOmar Siamhttp://localhost:3000/resource/posts/git-version-control-via-command-linehttp://localhost:3000/resource/posts/git-version-control-via-command-lineWed, 18 Dec 2024 13:43:36 GMT2024-12-18T13:43:36.660ZData managementGitThis 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.Omar Siamhttp://localhost:3000/resource/posts/git-vs-codehttp://localhost:3000/resource/posts/git-vs-codeWed, 18 Dec 2024 13:41:48 GMT2024-12-18T13:41:48.361ZData managementGitGetting 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.Myrsini Samaroudihttp://localhost:3000/resource/posts/evaluation-of-digital-heritage-experienceshttp://localhost:3000/resource/posts/evaluation-of-digital-heritage-experiencesWed, 18 Dec 2024 08:58:29 GMT2024-12-18T08:58:29.482ZData visualisationDesign ThinkingeHeritageThis 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. Grace Di Méohttp://localhost:3000/resource/posts/creating-interactive-visualizations-with-plotlyhttp://localhost:3000/resource/posts/creating-interactive-visualizations-with-plotlyWed, 18 Dec 2024 08:53:39 GMT2024-12-18T08:53:39.939ZData visualisationPythonThis lesson demonstrates how to create interactive data visualizations in Python with Plotly’s open-source graphing libraries using materials from the Historical Violence Database.Omar Siamhttp://localhost:3000/resource/posts/git-collaborationhttp://localhost:3000/resource/posts/git-collaborationWed, 18 Dec 2024 00:00:00 GMT2024-12-18T00:00:00.000ZData managementGitThis 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.Jeff Blackadarhttp://localhost:3000/resource/posts/transcribing-handwritten-text-with-python-and-microsoft-azure-computer-visionhttp://localhost:3000/resource/posts/transcribing-handwritten-text-with-python-and-microsoft-azure-computer-visionTue, 10 Dec 2024 12:58:12 GMT2024-12-10T12:58:12.128ZPythonAutomatic Text RecognitionTools for machine transcription of handwriting are practical and labour-saving if you need to analyse or present text in digital form. This lesson will explain how to write a Python program to transcribe handwritten documents using Microsoft’s Azure Cognitive Services, a commercially available service that has a cost-free option for low volumes of use.Karina Rodriguez Echavarria, Myrsini Samaroudihttp://localhost:3000/resource/posts/copyright-of-3d-datahttp://localhost:3000/resource/posts/copyright-of-3d-dataTue, 10 Dec 2024 11:23:29 GMT2024-12-10T11:23:29.901ZCitizen scienceData managementDigital ArchivesRepositories & CollectionsThis resource offers an introduction to copyright laws within the UK context when dealing with multidimensional media from repositories, archives and collections from that country.Ariane Pinche, Pauline Spychalahttp://localhost:3000/resource/posts/automatic-text-recognition-atr-video-1-getting-startedhttp://localhost:3000/resource/posts/automatic-text-recognition-atr-video-1-getting-startedThu, 05 Dec 2024 12:05:09 GMT2024-12-05T12:05:09.272ZEditing toolsMachine LearningAutomatic Text RecognitionKick off your journey into Automatic Text Recognition (ATR) with our introductory tutorial video. This is the first video of a tutorial series dedicated to extracting full text from scanned images. Petros Apostolopouloshttp://localhost:3000/resource/posts/wikipedia-as-a-source-of-historical-knowledge-applying-digital-source-criticismhttp://localhost:3000/resource/posts/wikipedia-as-a-source-of-historical-knowledge-applying-digital-source-criticismThu, 05 Dec 2024 11:49:00 GMT2024-12-05T11:49:00.000ZDigital Source CriticismA lesson on Wikipedia as a born-digital source of history and how to apply digital source criticism to it. The lesson invites historians to adapt their critical approach to Wikipedia as a born-digital source for historical research. More specifically, it suggests ways to apply digital source criticism to Wikipedia’s infrastructure and content and to explore potential uses of Wikipedia for historians. The lesson proposes a short introductory video and a set of five assignments. No specific technical skills are required to complete the assignments.Emily Genatowski, James Baillehttp://localhost:3000/resource/posts/data-and-databases-an-introductionhttp://localhost:3000/resource/posts/data-and-databases-an-introductionTue, 03 Dec 2024 12:14:32 GMT2024-12-03T12:14:32.142ZData managementIn 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.Jonathan Reades, Jennie Williamshttp://localhost:3000/resource/posts/clustering-and-visualising-documents-using-word-embeddingshttp://localhost:3000/resource/posts/clustering-and-visualising-documents-using-word-embeddingsTue, 26 Nov 2024 12:41:52 GMT2024-11-26T12:41:52.288ZData visualisationMachine LearningPythonNatural Language ProcessingThis 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.Martina Trognitzhttp://localhost:3000/resource/posts/langzeitarchivierunghttp://localhost:3000/resource/posts/langzeitarchivierungThu, 21 Nov 2024 00:00:00 GMT2024-11-21T00:00:00.000ZData managementDieser 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.Megan S. Kanehttp://localhost:3000/resource/posts/corpus-analysis-with-spacyhttp://localhost:3000/resource/posts/corpus-analysis-with-spacyMon, 18 Nov 2024 08:52:06 GMT2024-11-18T08:52:06.548ZPythonBig dataThis 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.Karina Rodriguez Echavarria, Myrsini Samaroudi, Nicola Schiavottiellohttp://localhost:3000/resource/posts/photogrammetry-3d-digitisationhttp://localhost:3000/resource/posts/photogrammetry-3d-digitisationThu, 07 Nov 2024 13:12:43 GMT2024-11-07T13:12:43.250ZAugmented realityBig dataData modelingData visualisationDHDigital ArchiveseHeritageEditing toolsFAIRThis resource is an introduction to the photogrammetry technique to capture visual data about cultural heritage assets and produce associated 3D models. Jennifer Isasihttp://localhost:3000/resource/posts/sentiment-analysis-with-syuzhet-using-rhttp://localhost:3000/resource/posts/sentiment-analysis-with-syuzhet-using-rThu, 07 Nov 2024 12:26:53 GMT2024-11-07T12:26:53.564ZData visualisationThis 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.Tom Gheldof, Carla Salvaterra, Marta Fogagnolo, Alice Bencivenni, Massimo Magnani, Holger Essler, Nicola Reggiani, Marzia D'Angelo, Federica Nicolardi, Federico Aurora, Andrea Gasparini, Alessandro Palumbo, Mark Depauw, Pietro Liuzzohttp://localhost:3000/resource/posts/encode-course-digital-tools-for-the-research-and-study-of-ancient-writing-cultureshttp://localhost:3000/resource/posts/encode-course-digital-tools-for-the-research-and-study-of-ancient-writing-culturesTue, 08 Oct 2024 11:07:00 GMT2024-10-08T11:07:00.000ZData modelingEditing toolseHeritageMetadataSemantic WebThe ENCODE open online course 'Digital tools for the research and study of ancient writing cultures' is designed to introduce teaching staff, GLAM professionals, and graduates to ancient writing cultures and digital studies, exploring the digital transformations in the fields of Greek and Latin epigraphy, papyrology, and other aspects of ancient writing cultures.Karina Rodriguez Echavarriahttp://localhost:3000/resource/posts/fair-multidimensional-datahttp://localhost:3000/resource/posts/fair-multidimensional-dataThu, 19 Sep 2024 09:29:52 GMT2024-09-19T09:29:52.356ZAugmented realityBig dataComputational ImagingData managementData modelingDigital ArchiveseHeritageFAIROpen scienceThis 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.Isabelle Gribomonthttp://localhost:3000/resource/posts/ocr-with-google-vision-api-and-tesseracthttp://localhost:3000/resource/posts/ocr-with-google-vision-api-and-tesseractWed, 18 Sep 2024 11:35:27 GMT2024-09-18T11:35:27.393ZPythonGoogle Vision and Tesseract are both popular and powerful OCR tools, but they each have their weaknesses. In this lesson, you will learn how to combine the two to make the most of their individual strengths and achieve even more accurate OCR results.Daniel Schopperhttp://localhost:3000/resource/posts/einfuehrung-metadatenhttp://localhost:3000/resource/posts/einfuehrung-metadatenWed, 18 Sep 2024 00:00:00 GMT2024-09-18T00:00:00.000ZData managementAnschließend 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?James Baillehttp://localhost:3000/resource/posts/an-introduction-to-prosopographyhttp://localhost:3000/resource/posts/an-introduction-to-prosopographyMon, 16 Sep 2024 16:14:26 GMT2024-09-16T16:14:26.180ZDigital ArchivesThis resource helps students tackle key prosopography challenges, such as disambiguating individuals with the same name, handling anonymous entries, and recognizing fictional people, known as the Rusudan Problem. Additionally, this resource focuses on the theory of identity, where roles, titles, and historical presence may be disputed but still carry an assumed "correct" interpretation. Fluid identities—such as ethnicity, gender, and religion—are more complex and require careful modeling in databases. The course also covers how to scope projects effectively by defining clear research questions and boundaries.