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    <title>Transformations: A DARIAH Journal  - Latest Publications</title>
    <description>Latest articles</description>
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    <pubDate>Sat, 04 Apr 2026 13:07:05 +0000</pubDate>
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    <author>Transformations: A DARIAH Journal </author>
    <dc:creator>Transformations: A DARIAH Journal </dc:creator>
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      <title>Introduction to Workflows – Part 2</title>
      <description><![CDATA[In this second part of the introduction to the first issue of Transformations. A DARIAH journal (dedicated to workflows), we present three articles, respectively dedicated to metadata-based, text-based and musicology workflows.]]></description>
      <pubDate>Thu, 06 Nov 2025 10:15:22 +0000</pubDate>
      <link>https://doi.org/10.46298/transformations.16806</link>
      <guid>https://doi.org/10.46298/transformations.16806</guid>
      <author>Baillot, Anne</author>
      <author>Gouzi, Françoise</author>
      <author>Tasovac, Toma</author>
      <dc:creator>Baillot, Anne</dc:creator>
      <dc:creator>Gouzi, Françoise</dc:creator>
      <dc:creator>Tasovac, Toma</dc:creator>
      <content:encoded><![CDATA[In this second part of the introduction to the first issue of Transformations. A DARIAH journal (dedicated to workflows), we present three articles, respectively dedicated to metadata-based, text-based and musicology workflows.]]></content:encoded>
      <slash:comments>0</slash:comments>
    </item>
    <item>
      <title>Supporting executable scientific workflows in a clustered Infrastructure: DARIAH-IT and H2IOSC</title>
      <description><![CDATA[Workflows have become essential in digital humanities, enabling the formalisation, automation and reproducibility of complex research processes. As the humanities increasingly adopt data-driven methodologies, workflows offer structured approaches to manage diverse data and tools while supporting transparency and collaboration. Recognising this need, DARIAH-IT has advanced research infrastructure development by focusing on workflow-based services within the H2IOSC (Humanities and Cultural Heritage Italian Open Science Cloud) project. DARIAH-IT leads the design and implementation of a national cloud system to support digital humanities research, ensuring interoperability, FAIR data practices and semantic integration across disciplines. Central to DARIAH-IT’s effort within H2IOSC is AEON (dAriah sErvice Oriented iNfrastructure), a platform that enables the creation, execution and management of scientific workflows. AEON integrates service provisioning, semantic validation and runtime orchestration, supporting reproducible research and collaborative practices.]]></description>
      <pubDate>Tue, 14 Oct 2025 10:10:29 +0000</pubDate>
      <link>https://doi.org/10.46298/transformations.14776</link>
      <guid>https://doi.org/10.46298/transformations.14776</guid>
      <author>Degl'Innocenti, Emiliano</author>
      <author>Pinna, Francesco</author>
      <author>Spadi, Alessia</author>
      <author>Spinelli, Federica</author>
      <dc:creator>Degl'Innocenti, Emiliano</dc:creator>
      <dc:creator>Pinna, Francesco</dc:creator>
      <dc:creator>Spadi, Alessia</dc:creator>
      <dc:creator>Spinelli, Federica</dc:creator>
      <content:encoded><![CDATA[Workflows have become essential in digital humanities, enabling the formalisation, automation and reproducibility of complex research processes. As the humanities increasingly adopt data-driven methodologies, workflows offer structured approaches to manage diverse data and tools while supporting transparency and collaboration. Recognising this need, DARIAH-IT has advanced research infrastructure development by focusing on workflow-based services within the H2IOSC (Humanities and Cultural Heritage Italian Open Science Cloud) project. DARIAH-IT leads the design and implementation of a national cloud system to support digital humanities research, ensuring interoperability, FAIR data practices and semantic integration across disciplines. Central to DARIAH-IT’s effort within H2IOSC is AEON (dAriah sErvice Oriented iNfrastructure), a platform that enables the creation, execution and management of scientific workflows. AEON integrates service provisioning, semantic validation and runtime orchestration, supporting reproducible research and collaborative practices.]]></content:encoded>
      <slash:comments>0</slash:comments>
    </item>
    <item>
      <title>Fluffy Publication Workflow: Preserving Humanities Research Data with the TextGrid Repository</title>
      <description><![CDATA[This paper introduces a revised publication workflow for textual research data in the TextGrid Repository. This repository supports the accessibility and reusability of research outputs in the humanities. The new workflow simplifies the publication process by integrating familiar tools such as TEI, XPath, Git, and Jupyter Notebooks. This reduces the technical burden for users, while still ensuring metadata quality controls. For these reasons, we refer to the new workflow as fluffy, emphasising its ease of use.The workflow also allows for metadata enrichment without altering original data files, improving overall data and metadata quality and aligning with FAIR principles (Findable, Accessible, Interoperable, Reusable). By showcasing completed research projects, we demonstrate how the workflow enhances the discoverability and citation of published outputs. The paper concludes by outlining future steps to integrate the workflow with additional services, aiming for a more user-friendly experience and higher metadata quality.]]></description>
      <pubDate>Wed, 27 Aug 2025 22:00:00 +0000</pubDate>
      <link>https://doi.org/10.46298/transformations.14657</link>
      <guid>https://doi.org/10.46298/transformations.14657</guid>
      <author>Veentjer, Ubbo</author>
      <author>Buddenbohm, Stefan</author>
      <author>Calvo Tello, José</author>
      <author>Funk, Stefan E.</author>
      <author>Klammer, Ralf</author>
      <author>Rißler-Pipka, Nanette</author>
      <author>Steckel, Alex</author>
      <author>Weimer, Lukas</author>
      <author>Dogaru, George</author>
      <author>Göbel, Mathias</author>
      <dc:creator>Veentjer, Ubbo</dc:creator>
      <dc:creator>Buddenbohm, Stefan</dc:creator>
      <dc:creator>Calvo Tello, José</dc:creator>
      <dc:creator>Funk, Stefan E.</dc:creator>
      <dc:creator>Klammer, Ralf</dc:creator>
      <dc:creator>Rißler-Pipka, Nanette</dc:creator>
      <dc:creator>Steckel, Alex</dc:creator>
      <dc:creator>Weimer, Lukas</dc:creator>
      <dc:creator>Dogaru, George</dc:creator>
      <dc:creator>Göbel, Mathias</dc:creator>
      <content:encoded><![CDATA[This paper introduces a revised publication workflow for textual research data in the TextGrid Repository. This repository supports the accessibility and reusability of research outputs in the humanities. The new workflow simplifies the publication process by integrating familiar tools such as TEI, XPath, Git, and Jupyter Notebooks. This reduces the technical burden for users, while still ensuring metadata quality controls. For these reasons, we refer to the new workflow as fluffy, emphasising its ease of use.The workflow also allows for metadata enrichment without altering original data files, improving overall data and metadata quality and aligning with FAIR principles (Findable, Accessible, Interoperable, Reusable). By showcasing completed research projects, we demonstrate how the workflow enhances the discoverability and citation of published outputs. The paper concludes by outlining future steps to integrate the workflow with additional services, aiming for a more user-friendly experience and higher metadata quality.]]></content:encoded>
      <slash:comments>0</slash:comments>
    </item>
    <item>
      <title>The Music Encoding Initiative: Its Generation Workflows</title>
      <description><![CDATA[This article explores the Music Encoding Initiative (MEI) by examining the workflows that support its generation and manipulation within musicological research. Since its creation to fill the absence of a standard for encoding musical works, MEI has evolved into a powerful, flexible XML framework capable of representing not only Western common music notation but also specialised systems such as mensural, neumatic, and tablature notations.This study underscores how the choice of workflow is never neutral: it profoundly shapes the quality, sustainability, and interoperability of encoded data. It analyzes three principal modes of generating MEI files—via web applications like Verovio and MEI Garage, through integrated software solutions such as MuseScore and Sibelius (enhanced by plugins), and using programmatic approaches that rely on command-line tools or programming libraries. Each method presents distinct advantages and limitations, depending on the user's technical expertise, the complexity of the repertoire, and the scale of the project.Beyond generation, the article also addresses tools for enriching and editing MEI files, from metadata completion with MerMEId to more advanced, interactive environments like Mei-Friend, which combine score visualization with direct XML editing. Special attention is given to the encoding of early music, highlighting initiatives that adapt MEI to the complexities of historical notations.Ultimately, the article emphasises that adopting MEI is not simply a technical choice but one that entails significant human and scholarly considerations. It calls for broader training and the thoughtful integration of automated workflows to ensure that digital music editions are both robust and aligned with open science principles.]]></description>
      <pubDate>Tue, 26 Aug 2025 07:17:29 +0000</pubDate>
      <link>https://doi.org/10.46298/transformations.14775</link>
      <guid>https://doi.org/10.46298/transformations.14775</guid>
      <author>Roger, Kévin</author>
      <dc:creator>Roger, Kévin</dc:creator>
      <content:encoded><![CDATA[This article explores the Music Encoding Initiative (MEI) by examining the workflows that support its generation and manipulation within musicological research. Since its creation to fill the absence of a standard for encoding musical works, MEI has evolved into a powerful, flexible XML framework capable of representing not only Western common music notation but also specialised systems such as mensural, neumatic, and tablature notations.This study underscores how the choice of workflow is never neutral: it profoundly shapes the quality, sustainability, and interoperability of encoded data. It analyzes three principal modes of generating MEI files—via web applications like Verovio and MEI Garage, through integrated software solutions such as MuseScore and Sibelius (enhanced by plugins), and using programmatic approaches that rely on command-line tools or programming libraries. Each method presents distinct advantages and limitations, depending on the user's technical expertise, the complexity of the repertoire, and the scale of the project.Beyond generation, the article also addresses tools for enriching and editing MEI files, from metadata completion with MerMEId to more advanced, interactive environments like Mei-Friend, which combine score visualization with direct XML editing. Special attention is given to the encoding of early music, highlighting initiatives that adapt MEI to the complexities of historical notations.Ultimately, the article emphasises that adopting MEI is not simply a technical choice but one that entails significant human and scholarly considerations. It calls for broader training and the thoughtful integration of automated workflows to ensure that digital music editions are both robust and aligned with open science principles.]]></content:encoded>
      <slash:comments>0</slash:comments>
    </item>
    <item>
      <title>A reproducible workflow for the creation of digital twins in the cultural heritage domain</title>
      <description><![CDATA[This article explores how to create reproducible workflows for the 3D acquisition and digitisation of cultural heritage objects to ensure sustainability and reusability across various institutions. In addressing two main research questions, the paper proposes a workflow that involves the systematic acquisition, processing and digitisation of cultural heritage artefacts. In particular, the workflow focuses on developing digital twins for cultural heritage settings and exhibitions and proposes baseline standards for both technical and interpretative aspects of digitisation. The workflow has been derived from and tested on the pilot case of the temporary exhibition The Other Renaissance: Ulisse Aldrovandi and the Wonders of the World, in the context of the CHANGES project. The article reflects on software and hardware equipment to select, the procedures and techniques to use and the formats to adopt to comply with openness, accessibility, transparency, reproducibility, reusability and sustainability in the research workflow, building on previous works on fostering reproducibility in research and improving the interoperability of 3D data across different systems. It highlights the need for transparent documentation of every step of the process, focusing on accountability and practices in the context of cultural heritage research. Finally, the article suggests improvements for enhancing the sustainability of these kinds of workflows and discusses future directions for digitisation efforts and sharing practices.]]></description>
      <pubDate>Thu, 24 Jul 2025 22:00:00 +0000</pubDate>
      <link>https://doi.org/10.46298/transformations.14773</link>
      <guid>https://doi.org/10.46298/transformations.14773</guid>
      <author>Barzaghi, Sebastian</author>
      <author>Bordignon, Alice</author>
      <author>Collina, Federica</author>
      <author>Fabbri, Francesca</author>
      <author>Fanini, Bruno</author>
      <author>Ferdani, Daniele</author>
      <author>Gualandi, Bianca</author>
      <author>Heibi, Ivan</author>
      <author>Mariniello, Nicola</author>
      <author>Massari, Arcangelo</author>
      <author>Massidda, Marcello</author>
      <author>Moretti, Arianna</author>
      <author>Peroni, Silvio</author>
      <author>Pescarin, Sofia</author>
      <author>Rega, Maria Felicia</author>
      <author>Renda, Giulia</author>
      <author>Sullini, Mattia</author>
      <dc:creator>Barzaghi, Sebastian</dc:creator>
      <dc:creator>Bordignon, Alice</dc:creator>
      <dc:creator>Collina, Federica</dc:creator>
      <dc:creator>Fabbri, Francesca</dc:creator>
      <dc:creator>Fanini, Bruno</dc:creator>
      <dc:creator>Ferdani, Daniele</dc:creator>
      <dc:creator>Gualandi, Bianca</dc:creator>
      <dc:creator>Heibi, Ivan</dc:creator>
      <dc:creator>Mariniello, Nicola</dc:creator>
      <dc:creator>Massari, Arcangelo</dc:creator>
      <dc:creator>Massidda, Marcello</dc:creator>
      <dc:creator>Moretti, Arianna</dc:creator>
      <dc:creator>Peroni, Silvio</dc:creator>
      <dc:creator>Pescarin, Sofia</dc:creator>
      <dc:creator>Rega, Maria Felicia</dc:creator>
      <dc:creator>Renda, Giulia</dc:creator>
      <dc:creator>Sullini, Mattia</dc:creator>
      <content:encoded><![CDATA[This article explores how to create reproducible workflows for the 3D acquisition and digitisation of cultural heritage objects to ensure sustainability and reusability across various institutions. In addressing two main research questions, the paper proposes a workflow that involves the systematic acquisition, processing and digitisation of cultural heritage artefacts. In particular, the workflow focuses on developing digital twins for cultural heritage settings and exhibitions and proposes baseline standards for both technical and interpretative aspects of digitisation. The workflow has been derived from and tested on the pilot case of the temporary exhibition The Other Renaissance: Ulisse Aldrovandi and the Wonders of the World, in the context of the CHANGES project. The article reflects on software and hardware equipment to select, the procedures and techniques to use and the formats to adopt to comply with openness, accessibility, transparency, reproducibility, reusability and sustainability in the research workflow, building on previous works on fostering reproducibility in research and improving the interoperability of 3D data across different systems. It highlights the need for transparent documentation of every step of the process, focusing on accountability and practices in the context of cultural heritage research. Finally, the article suggests improvements for enhancing the sustainability of these kinds of workflows and discusses future directions for digitisation efforts and sharing practices.]]></content:encoded>
      <slash:comments>0</slash:comments>
    </item>
    <item>
      <title>Adding Every Arabic Periodical Published Before 1930 to Wikidata: Moving the Scholarly Crowd-Sourcing Project Jarāʾid to the Digital Commons</title>
      <description><![CDATA[This paper documents the contribution of comprehensive bibliographic data on all Arabic periodicals published before 1930 to Wikidata, the largest public and open knowledge graph. The dataset originated with the scholarly crowdsourcing project Jarāʾid and comprises information on more than 3,000 periodicals, about 2,700 editors and almost 350 holding institutions. As a living union list of Arabic periodicals, the dataset alleviates the infrastructural weaknesses of library catalogues and discovery systems, as well as the epistemic violence of knowledge ecologies. The move to Wikidata addresses the socio-technical shortcomings of our original approach by making the dataset available in a FAIR (findable, accessible, interoperable, reusable) and five-star Linked Open Data environment. In addition, the platform provides multilingual interfaces and robust user management and version control, which significantly improves the usability and maintenance of evolving datasets. The paper details workflows and data models and demonstrates the reusability of our approach in other contexts with a second dataset of periodicals from the Ottoman Empire. Finally, the paper shows how the move to Wikidata generates continuous engagement with wider Wikimedia communities that significantly broaden our knowledge about periodicals and their holdings.]]></description>
      <pubDate>Wed, 23 Jul 2025 10:35:31 +0000</pubDate>
      <link>https://doi.org/10.46298/transformations.14749</link>
      <guid>https://doi.org/10.46298/transformations.14749</guid>
      <author>Grallert, Till</author>
      <dc:creator>Grallert, Till</dc:creator>
      <content:encoded><![CDATA[This paper documents the contribution of comprehensive bibliographic data on all Arabic periodicals published before 1930 to Wikidata, the largest public and open knowledge graph. The dataset originated with the scholarly crowdsourcing project Jarāʾid and comprises information on more than 3,000 periodicals, about 2,700 editors and almost 350 holding institutions. As a living union list of Arabic periodicals, the dataset alleviates the infrastructural weaknesses of library catalogues and discovery systems, as well as the epistemic violence of knowledge ecologies. The move to Wikidata addresses the socio-technical shortcomings of our original approach by making the dataset available in a FAIR (findable, accessible, interoperable, reusable) and five-star Linked Open Data environment. In addition, the platform provides multilingual interfaces and robust user management and version control, which significantly improves the usability and maintenance of evolving datasets. The paper details workflows and data models and demonstrates the reusability of our approach in other contexts with a second dataset of periodicals from the Ottoman Empire. Finally, the paper shows how the move to Wikidata generates continuous engagement with wider Wikimedia communities that significantly broaden our knowledge about periodicals and their holdings.]]></content:encoded>
      <slash:comments>0</slash:comments>
    </item>
    <item>
      <title>A Workflow to publish Collections as Data: looking back at Europeana.eu and forward to the common European data space for cultural heritage</title>
      <description><![CDATA[For decades, cultural heritage (CH) institutions have been making their digital collections available for potential communities of users. Recent advances in technology, such as machine learning, have provided a new context in which digital collections are a rich resource that can be analysed and reused by means of computational methods, for example in the humanities. Initiatives such as Collections as Data, the FAIR (findable, accessible, interoperable, reusable and CARE (collective benefit, authority to control, responsibility, ethics) data principles, and experimental Labs provide best practices and guidelines for publishing digital collections suitable for responsible computational use. In addition, data spaces have recently emerged as a new concept to foster creation, access and reuse of heritage data in which CH institutions play a key role as data providers. In this work we present a workflow for adopting Collections as Data in CH data spaces. The workflow has been developed in the context of the common European data space for cultural heritage and published on the Social Sciences and Humanities (SSH) Open Marketplace. It aims to support CH institutions, humanities researchers and computer scientists interested in making CH data available in data spaces. The article illustrates how the workflow can be adopted by CH institutions or applied by researchers wishing to publish digital collections suitable for computational use. We also demonstrate how the workflow is being adopted in the common European data space for cultural heritage, and describe a selection of potential areas that we believe will most benefit from the wide application of the workflow in the CH domain.]]></description>
      <pubDate>Tue, 24 Jun 2025 22:00:00 +0000</pubDate>
      <link>https://doi.org/10.46298/transformations.14774</link>
      <guid>https://doi.org/10.46298/transformations.14774</guid>
      <author>Candela, Gustavo</author>
      <author>Chambers, Sally</author>
      <author>Irollo, Alba</author>
      <author>Freire, Nuno</author>
      <author>Dritsou, Vicky</author>
      <author>Isaac, Antoine</author>
      <author>Benardou, Agiatis</author>
      <author>Garnett, Vicky</author>
      <author>Tasovac, Toma</author>
      <dc:creator>Candela, Gustavo</dc:creator>
      <dc:creator>Chambers, Sally</dc:creator>
      <dc:creator>Irollo, Alba</dc:creator>
      <dc:creator>Freire, Nuno</dc:creator>
      <dc:creator>Dritsou, Vicky</dc:creator>
      <dc:creator>Isaac, Antoine</dc:creator>
      <dc:creator>Benardou, Agiatis</dc:creator>
      <dc:creator>Garnett, Vicky</dc:creator>
      <dc:creator>Tasovac, Toma</dc:creator>
      <content:encoded><![CDATA[For decades, cultural heritage (CH) institutions have been making their digital collections available for potential communities of users. Recent advances in technology, such as machine learning, have provided a new context in which digital collections are a rich resource that can be analysed and reused by means of computational methods, for example in the humanities. Initiatives such as Collections as Data, the FAIR (findable, accessible, interoperable, reusable and CARE (collective benefit, authority to control, responsibility, ethics) data principles, and experimental Labs provide best practices and guidelines for publishing digital collections suitable for responsible computational use. In addition, data spaces have recently emerged as a new concept to foster creation, access and reuse of heritage data in which CH institutions play a key role as data providers. In this work we present a workflow for adopting Collections as Data in CH data spaces. The workflow has been developed in the context of the common European data space for cultural heritage and published on the Social Sciences and Humanities (SSH) Open Marketplace. It aims to support CH institutions, humanities researchers and computer scientists interested in making CH data available in data spaces. The article illustrates how the workflow can be adopted by CH institutions or applied by researchers wishing to publish digital collections suitable for computational use. We also demonstrate how the workflow is being adopted in the common European data space for cultural heritage, and describe a selection of potential areas that we believe will most benefit from the wide application of the workflow in the CH domain.]]></content:encoded>
      <slash:comments>0</slash:comments>
    </item>
    <item>
      <title>finnsurveytext: Analysis of Open-Ended Survey Responses in R</title>
      <description><![CDATA[The finnsurveytext R package has been created to facilitate the analysis of responses to open-ended survey questions and other structured text data. The package offers a user-friendly, open-source tool and workflow that supports reproducible analysis of text data, including summarisation of response properties, identification of frequent words and phrases, visualisation of responses and creation of a concept network plot. The second version of the package was released in August 2024. It includes integration with the popular survey package to allow survey design to be incorporated into the analysis. While the package was created for the analysis of responses written in Finnish, it can also be used to analyse text in other languages. The tool aims to make analysing open-ended questions accessible to social science and humanities scholars without strong programming skills or extensive knowledge of Natural Language Processing methodologies. The objective is to enable the rich data obtained from responses to open-ended questions to be harnessed so that it can be better understood within the context of numeric or categorical data analysis. ]]></description>
      <pubDate>Mon, 23 Jun 2025 22:00:00 +0000</pubDate>
      <link>https://doi.org/10.46298/transformations.14770</link>
      <guid>https://doi.org/10.46298/transformations.14770</guid>
      <author>Clarke, Adeline</author>
      <author>Lagus, Krista</author>
      <author>Valaste, Maria</author>
      <dc:creator>Clarke, Adeline</dc:creator>
      <dc:creator>Lagus, Krista</dc:creator>
      <dc:creator>Valaste, Maria</dc:creator>
      <content:encoded><![CDATA[The finnsurveytext R package has been created to facilitate the analysis of responses to open-ended survey questions and other structured text data. The package offers a user-friendly, open-source tool and workflow that supports reproducible analysis of text data, including summarisation of response properties, identification of frequent words and phrases, visualisation of responses and creation of a concept network plot. The second version of the package was released in August 2024. It includes integration with the popular survey package to allow survey design to be incorporated into the analysis. While the package was created for the analysis of responses written in Finnish, it can also be used to analyse text in other languages. The tool aims to make analysing open-ended questions accessible to social science and humanities scholars without strong programming skills or extensive knowledge of Natural Language Processing methodologies. The objective is to enable the rich data obtained from responses to open-ended questions to be harnessed so that it can be better understood within the context of numeric or categorical data analysis. ]]></content:encoded>
      <slash:comments>0</slash:comments>
    </item>
    <item>
      <title>Improving Workflows in Digital Art History: Sharing Annotations for Cultural Heritage Image Segmentation and Object Detection</title>
      <description><![CDATA[[english]This article addresses the lack of standardization in digital art history, with a particular focus on image segmentation and object detection. It argues for the establishment of interoperable and reproducible data standards to enhance the effectiveness and replicability of current workflows. Through the case study of animal representations in ancient India, the article sheds light on the necessity of harmonizing segmentation and object detection practices, while also taking into account the interpretive nature of art historical analysis. It advocates for the development of more adaptable tools that can accommodate the diverse levels of interpretation specific to artworks, thus facilitating the integration of multi-layered semantic annotations. [français]Cet article aborde l’absence de standardisation dans le domaine de l’histoire de l’art numérique, en mettant particulièrement l’accent sur la segmentation d’images et la détection d’objets. Il plaide en faveur de l’établissement de standards de données interopérables et reproductibles afin d’améliorer l’efficacité et la reproductibilité des flux de travail actuels. À travers l’étude de cas des représentations animales dans les sculptures produites en Inde ancienne, l’article souligne la nécessité d’harmoniser les pratiques de segmentation et de détection d’objets, tout en reconnaissant le caractère interprétatif de l’analyse en histoire de l’art. Il préconise le développement d’outils plus flexibles, capables d’intégrer les différents niveaux d’interprétation propres aux œuvres d'art, et de faciliter l’intégration d’annotations sémantiques multi-niveaux.]]></description>
      <pubDate>Mon, 16 Jun 2025 15:11:28 +0000</pubDate>
      <link>https://doi.org/10.46298/transformations.14591</link>
      <guid>https://doi.org/10.46298/transformations.14591</guid>
      <author>Maronet, Léa</author>
      <author>Truc, Alice</author>
      <dc:creator>Maronet, Léa</dc:creator>
      <dc:creator>Truc, Alice</dc:creator>
      <content:encoded><![CDATA[[english]This article addresses the lack of standardization in digital art history, with a particular focus on image segmentation and object detection. It argues for the establishment of interoperable and reproducible data standards to enhance the effectiveness and replicability of current workflows. Through the case study of animal representations in ancient India, the article sheds light on the necessity of harmonizing segmentation and object detection practices, while also taking into account the interpretive nature of art historical analysis. It advocates for the development of more adaptable tools that can accommodate the diverse levels of interpretation specific to artworks, thus facilitating the integration of multi-layered semantic annotations. [français]Cet article aborde l’absence de standardisation dans le domaine de l’histoire de l’art numérique, en mettant particulièrement l’accent sur la segmentation d’images et la détection d’objets. Il plaide en faveur de l’établissement de standards de données interopérables et reproductibles afin d’améliorer l’efficacité et la reproductibilité des flux de travail actuels. À travers l’étude de cas des représentations animales dans les sculptures produites en Inde ancienne, l’article souligne la nécessité d’harmoniser les pratiques de segmentation et de détection d’objets, tout en reconnaissant le caractère interprétatif de l’analyse en histoire de l’art. Il préconise le développement d’outils plus flexibles, capables d’intégrer les différents niveaux d’interprétation propres aux œuvres d'art, et de faciliter l’intégration d’annotations sémantiques multi-niveaux.]]></content:encoded>
      <slash:comments>0</slash:comments>
    </item>
    <item>
      <title>A reproducible framework to publish and reuse Collections as data: the case of the European Literary Bibliography</title>
      <description><![CDATA[GLAM (Galleries, Libraries, Archives and Museums) institutions host rich content that is provided in the form of digital collections. Bibliographic databases are collections of references focused on a particular topic that can be used to apply Digital Humanities (DH) methods. Recent approaches such as Collections as Data and Labs promote the publication of digital collections supporting computational use.This work aims to provide a framework for publishing and reusing digital collections based on literary bibliographies published by GLAM institutions in order to make them suitable for computational use in the form of Collections as Data, in particular, in the context of the European Literary Bibliography. It also describes the infrastructure used and DH research scenarios to illustrate how the results can be reused for different goals. Digital curators and DH researchers interested in making their datasets available in the form of Collections as Data are the intended audience of this work.]]></description>
      <pubDate>Mon, 16 Jun 2025 15:09:55 +0000</pubDate>
      <link>https://doi.org/10.46298/transformations.14729</link>
      <guid>https://doi.org/10.46298/transformations.14729</guid>
      <author>Candela, Gustavo</author>
      <author>Rosiński, Cezary</author>
      <author>Margraf, Arkadiusz</author>
      <dc:creator>Candela, Gustavo</dc:creator>
      <dc:creator>Rosiński, Cezary</dc:creator>
      <dc:creator>Margraf, Arkadiusz</dc:creator>
      <content:encoded><![CDATA[GLAM (Galleries, Libraries, Archives and Museums) institutions host rich content that is provided in the form of digital collections. Bibliographic databases are collections of references focused on a particular topic that can be used to apply Digital Humanities (DH) methods. Recent approaches such as Collections as Data and Labs promote the publication of digital collections supporting computational use.This work aims to provide a framework for publishing and reusing digital collections based on literary bibliographies published by GLAM institutions in order to make them suitable for computational use in the form of Collections as Data, in particular, in the context of the European Literary Bibliography. It also describes the infrastructure used and DH research scenarios to illustrate how the results can be reused for different goals. Digital curators and DH researchers interested in making their datasets available in the form of Collections as Data are the intended audience of this work.]]></content:encoded>
      <slash:comments>0</slash:comments>
    </item>
    <item>
      <title>Creating a scientific workflow to manage Old Italian texts</title>
      <description><![CDATA[The management and analysis of extensive collections (corpora) of texts is a complex task, encompassing both technological and scientific considerations. Researchers involved in textual studies (including, but not limited to, philologists, palaeographers and codicologists) do not merely extract information from texts; they also examine visual elements - such as layout and mise-en-page - and physical characteristics of written materials such as printed books and manuscripts. Their analysis includes text structure, material used, word layout on the page and any annotations or notes. The development of efficient scientific workflows to handle these diverse aspects is a significant challenge in the field of digital humanities. The following article describes a scientific workflow supporting the management of Old Italian texts, offering innovative integration of semantic technologies and philological methods to enhance scholarly digital editions.]]></description>
      <pubDate>Thu, 12 Jun 2025 12:17:32 +0000</pubDate>
      <link>https://doi.org/10.46298/transformations.14779</link>
      <guid>https://doi.org/10.46298/transformations.14779</guid>
      <author>Degl'Innocenti, Emiliano</author>
      <author>Pinna, Francesco</author>
      <author>Spadi, Alessia</author>
      <author>Spinelli, Federica</author>
      <dc:creator>Degl'Innocenti, Emiliano</dc:creator>
      <dc:creator>Pinna, Francesco</dc:creator>
      <dc:creator>Spadi, Alessia</dc:creator>
      <dc:creator>Spinelli, Federica</dc:creator>
      <content:encoded><![CDATA[The management and analysis of extensive collections (corpora) of texts is a complex task, encompassing both technological and scientific considerations. Researchers involved in textual studies (including, but not limited to, philologists, palaeographers and codicologists) do not merely extract information from texts; they also examine visual elements - such as layout and mise-en-page - and physical characteristics of written materials such as printed books and manuscripts. Their analysis includes text structure, material used, word layout on the page and any annotations or notes. The development of efficient scientific workflows to handle these diverse aspects is a significant challenge in the field of digital humanities. The following article describes a scientific workflow supporting the management of Old Italian texts, offering innovative integration of semantic technologies and philological methods to enhance scholarly digital editions.]]></content:encoded>
      <slash:comments>0</slash:comments>
    </item>
    <item>
      <title>Genre Classification Workflow for the English Short Title Catalogue (ESTC)</title>
      <description><![CDATA[An article about genre classification of early modern British books published in Transformations: A DARIAH Journal, 1(1), 2025. Abstract below:This article introduces an open-box workflow for labelling 94 percent of the English Short Title Catalogue (ESTC) with a unified genre classification scheme, as well as an approach to evaluating the classifications. As the ESTC covers most of the surviving books published in the early modern Anglosphere, our categorisation offers new opportunities for large-scale quantitative research on the early modern book trade. Our evaluation process directly engages with the ambiguity of any genre labelling or annotation schemes of early modern books and highlights problematic boundaries between the categories. We also provide summary statistics about the genre composition of the ESTC, demonstrate how the new data can be used to detect biases in other datasets of early modern books and discuss further possibilities for genre-related computational work with the ESTC.]]></description>
      <pubDate>Wed, 11 Jun 2025 13:00:29 +0000</pubDate>
      <link>https://doi.org/10.46298/transformations.14754</link>
      <guid>https://doi.org/10.46298/transformations.14754</guid>
      <author>Tiihonen, Iiro</author>
      <author>Hinderks, Kira</author>
      <dc:creator>Tiihonen, Iiro</dc:creator>
      <dc:creator>Hinderks, Kira</dc:creator>
      <content:encoded><![CDATA[An article about genre classification of early modern British books published in Transformations: A DARIAH Journal, 1(1), 2025. Abstract below:This article introduces an open-box workflow for labelling 94 percent of the English Short Title Catalogue (ESTC) with a unified genre classification scheme, as well as an approach to evaluating the classifications. As the ESTC covers most of the surviving books published in the early modern Anglosphere, our categorisation offers new opportunities for large-scale quantitative research on the early modern book trade. Our evaluation process directly engages with the ambiguity of any genre labelling or annotation schemes of early modern books and highlights problematic boundaries between the categories. We also provide summary statistics about the genre composition of the ESTC, demonstrate how the new data can be used to detect biases in other datasets of early modern books and discuss further possibilities for genre-related computational work with the ESTC.]]></content:encoded>
      <slash:comments>0</slash:comments>
    </item>
    <item>
      <title>The Sixth Generation of the Perseus Digital Library and a Workflow for Open Philology</title>
      <description><![CDATA[This paper presents an overview of recent developments by the Perseus Digital Library in creating theBeyond Translation reading environment, a foundational component in the transition toward Perseus 6,built on the ATLAS (Aligned Text and Linguistic Annotation Server) architecture. It highlights theintegration of diverse open data sources from multiple digital humanities projects, all brought together tosupport an innovative, richly layered digital reading experience. Following this, the paper details the keyservices offered by Beyond Translation, including text-translation alignments, advancedmorpho-syntactic analysis, audio annotations, and enhanced access to integrated reference resources suchas commentaries and dictionaries. The paper concludes with a discussion of forthcoming enhancementsand the future trajectory of the ATLAS architecture.]]></description>
      <pubDate>Tue, 10 Jun 2025 14:29:23 +0000</pubDate>
      <link>https://doi.org/10.46298/transformations.14780</link>
      <guid>https://doi.org/10.46298/transformations.14780</guid>
      <author>Crane, Gregory</author>
      <author>Tauber, James</author>
      <author>Babeu, Alison</author>
      <author>Cerrato, Lisa</author>
      <author>Pletcher, Charles</author>
      <author>Wulfman, Clifford</author>
      <author>Kazmierski, Sergiusz</author>
      <author>Shamsian, Farnoosh</author>
      <dc:creator>Crane, Gregory</dc:creator>
      <dc:creator>Tauber, James</dc:creator>
      <dc:creator>Babeu, Alison</dc:creator>
      <dc:creator>Cerrato, Lisa</dc:creator>
      <dc:creator>Pletcher, Charles</dc:creator>
      <dc:creator>Wulfman, Clifford</dc:creator>
      <dc:creator>Kazmierski, Sergiusz</dc:creator>
      <dc:creator>Shamsian, Farnoosh</dc:creator>
      <content:encoded><![CDATA[This paper presents an overview of recent developments by the Perseus Digital Library in creating theBeyond Translation reading environment, a foundational component in the transition toward Perseus 6,built on the ATLAS (Aligned Text and Linguistic Annotation Server) architecture. It highlights theintegration of diverse open data sources from multiple digital humanities projects, all brought together tosupport an innovative, richly layered digital reading experience. Following this, the paper details the keyservices offered by Beyond Translation, including text-translation alignments, advancedmorpho-syntactic analysis, audio annotations, and enhanced access to integrated reference resources suchas commentaries and dictionaries. The paper concludes with a discussion of forthcoming enhancementsand the future trajectory of the ATLAS architecture.]]></content:encoded>
      <slash:comments>0</slash:comments>
    </item>
    <item>
      <title>Paradata conveys understanding of workflows and facilitates reuse of research data in arts and humanities: the CAPTURE project</title>
      <description><![CDATA[The European Research Council funded research project CAPTURE has investigated the relatively unexplored question of what information about the workflows of creation, management and use of research data is necessary for data to be reusable in the future. This cross-disciplinary multi-methods research underlines the risk of producing documentation that is of little use. It also emphasises the importance of making the already existing information findable, and generating new documentation only on such aspects of workflows that otherwise remain undocumented. The project’s findings also underscore differences in the perspectives of data creators, managers and users indicating that the documentation generated by data creators and kept in data repositories is not always well-understood and usable for data users. Finally, the work in the CAPTURE project points to the need of conceptual clarity. We discuss paradata both as a form of information on workflows, processes and practices, and as a framework concept to discuss how people inform and get informed about workflows, processes and practices in general, in research and beyond.]]></description>
      <pubDate>Tue, 10 Jun 2025 13:56:07 +0000</pubDate>
      <link>https://doi.org/10.46298/transformations.14747</link>
      <guid>https://doi.org/10.46298/transformations.14747</guid>
      <author>Huvila, Isto</author>
      <dc:creator>Huvila, Isto</dc:creator>
      <content:encoded><![CDATA[The European Research Council funded research project CAPTURE has investigated the relatively unexplored question of what information about the workflows of creation, management and use of research data is necessary for data to be reusable in the future. This cross-disciplinary multi-methods research underlines the risk of producing documentation that is of little use. It also emphasises the importance of making the already existing information findable, and generating new documentation only on such aspects of workflows that otherwise remain undocumented. The project’s findings also underscore differences in the perspectives of data creators, managers and users indicating that the documentation generated by data creators and kept in data repositories is not always well-understood and usable for data users. Finally, the work in the CAPTURE project points to the need of conceptual clarity. We discuss paradata both as a form of information on workflows, processes and practices, and as a framework concept to discuss how people inform and get informed about workflows, processes and practices in general, in research and beyond.]]></content:encoded>
      <slash:comments>0</slash:comments>
    </item>
    <item>
      <title>Introducing Transformations: A DARIAH Journal</title>
      <description><![CDATA[Research infrastructures can only thrive if those who contribute to their development receive academic credit for their work. This insight has motivated DARIAH to launch a diamond open-access overlay journal called Transformations as a practical way of reaffirming our commitment to open science, fairer research assessment practices, and the vital but often overlooked infrastructural contributions to scholarly discourse. As an academic journal, Transformations will highlight not only traditional research articles but also less conventional research outputs, such as workflows, datasets, annotations, software tools, training materials-and the complex labour that underpins them. These kinds of commitments are especially important in the age of artificial intelligence, where the speed and scale of digital technologies often challenge the values and methods of humanistic inquiry. If we want to maintain a humanistic voice in scholarship and sift through the deluge of auto-generated noise, we must insist on transparent tooling and a shared consensus on the value of public infrastructures.]]></description>
      <pubDate>Tue, 10 Jun 2025 11:31:41 +0000</pubDate>
      <link>https://doi.org/10.46298/transformations.15787</link>
      <guid>https://doi.org/10.46298/transformations.15787</guid>
      <author>Tasovac, Toma</author>
      <dc:creator>Tasovac, Toma</dc:creator>
      <content:encoded><![CDATA[Research infrastructures can only thrive if those who contribute to their development receive academic credit for their work. This insight has motivated DARIAH to launch a diamond open-access overlay journal called Transformations as a practical way of reaffirming our commitment to open science, fairer research assessment practices, and the vital but often overlooked infrastructural contributions to scholarly discourse. As an academic journal, Transformations will highlight not only traditional research articles but also less conventional research outputs, such as workflows, datasets, annotations, software tools, training materials-and the complex labour that underpins them. These kinds of commitments are especially important in the age of artificial intelligence, where the speed and scale of digital technologies often challenge the values and methods of humanistic inquiry. If we want to maintain a humanistic voice in scholarship and sift through the deluge of auto-generated noise, we must insist on transparent tooling and a shared consensus on the value of public infrastructures.]]></content:encoded>
      <slash:comments>0</slash:comments>
    </item>
    <item>
      <title>Workflows: Introduction (Part 1)</title>
      <description><![CDATA[This is the introduction to the first articles published in Transformations: A DARIAH Journal in June 20205.]]></description>
      <pubDate>Fri, 06 Jun 2025 08:56:21 +0000</pubDate>
      <link>https://doi.org/10.46298/transformations.15780</link>
      <guid>https://doi.org/10.46298/transformations.15780</guid>
      <author>Baillot, Anne</author>
      <author>Gouzi, Françoise</author>
      <author>Tasovac, Toma</author>
      <dc:creator>Baillot, Anne</dc:creator>
      <dc:creator>Gouzi, Françoise</dc:creator>
      <dc:creator>Tasovac, Toma</dc:creator>
      <content:encoded><![CDATA[This is the introduction to the first articles published in Transformations: A DARIAH Journal in June 20205.]]></content:encoded>
      <slash:comments>0</slash:comments>
    </item>
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