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         Created by <a href="https://julsraemy.ch" target="_blank">Julien Antoine Raemy</a> using <a href="https://www.11ty.dev/" target="_blank">11ty</a>, a static site generator. All content is released and distributed under the <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank"> CC BY 4.0 licence <img alt="Creative Commons BY 4.0" src="https://julsraemy.ch/prezi/assets/cc-by.svg" width="60" /></a>
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diff --git a/_site/feed.json b/_site/feed.json
@@ -15,6 +15,14 @@
   ],
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+    {
+      "id": "https://phd.julsraemy.ch/thesis.html",
+      "url": "https://phd.julsraemy.ch/thesis.html",
+      "title": "LOUD for Cultural Heritage - PhD Thesis",
+      "content_html": "Linked Open Usable Data for Cultural Heritage: Perspectives on Community Practices and Semantic Interoperability PhD Thesis in Digital Humanities affiliated with the Graduate School of Social Sciences’ (G3S) doctoral programme. PDF Version on the University of Basel’s repository: (…) Submitted on DD Month 2024 Author Julien A. Raemy (University of Basel) https://orcid.org/0000-0002-4711-5759 Supervisors Prof. Dr. Peter Fornaro (University of Basel) https://orcid.org/0000-0003-1485-4923 Prof. Dr. Walter Leimgruber (University of Basel) Dr. Robert Sanderson (Yale University) https://orcid.org/0000-0003-4441-6852 Abstract My PhD focuses on web standards, i.e. Linked Open Usable Data (LOUD) specifications (such as the IIIF Presentation API 3.0, Linked Art, and the W3C Web Annotation Data Model), supporting the description and dissemination of cultural heritage resources. Two research axes or perspectives have been identified to investigate LOUD, the first axis focusing on community practices, i.e. assessing the mechanisms by which organisations, individuals and apparatuses are entangled in consensus-making, and the second on semantic interoperability, i.e. how to make data meaningful to machines in a standardised and interoperable manner. This work is grounded as part of the SNSF-funded research project Participatory Knowledge Practices in Analogue and Digital Image Archives (PIA), which aims to develop a citizen science platform around three photographic collections from the archives of Cultural Anthropology Switzerland (CAS), formerly the Swiss Society for Folklore Studies. The theoretical framework is firmly rooted in Actor-Network Theory (ANT), a constructivist approach mainly defined by Bruno Latour, as one of the objectives is to describe the associations between actors and the social fabrics of the LOUD ecosystem as well as to highlight the importance of non-human actors, such as the data models developed in the context of the PIA research project. Additionally, the theoretical framework is enriched by integrating complementary perspectives from Anna Haraway’s Situated Knowledges, Susan Leigh Star’s Boundary Objects, and Luciano Floridi’s Philosophy of Information. Each of these frameworks contributes uniquely to our understanding of LOUD and its socio-technical landscape. Overall, this doctoral thesis aims to contribute to the understanding of LOUD and their adoption within cultural heritage institutions. By investigating community practices and semantic interoperability, this research seeks to identify and address challenges and provide insights into how LOUD can be effectively used for the description and dissemination of cultural heritage resources, taking into account all the human and non-human entities needed to develop those standards and to learn from it in the broader cultural heritage field. Moreover, this research aims to recognise the evolution of community practices and the potential bias of a western-centred view. The empirical part of the research is not limited to the implementation of the LOUD standards within the PIA research project, it also comprises an analysis of the social fabrics of the IIIF and Linked Art communities, and an investigation of LUX, Yale Collections Discovery platform. Introduction (…) Context (…) Interlinking Cultural Heritage Data (…) Exploring Relationships through an Actor-Network Theory Lens (…) Research Scope and Methodology (…) The Social Fabrics of IIIF and Linked Art (…) PIA as a Laboratory (…) Yale’s LUX (…) Discussion (…) Conclusion (…) Bibliography (…) This page will host my PhD thesis in HTML format.",
+      "date_published": "2024-02-12T00:00:00.000Z"
+    },
+
     {
       "id": "https://phd.julsraemy.ch/",
       "url": "https://phd.julsraemy.ch/",
@@ -45,14 +53,6 @@
       "title": "LOUD for Cultural Heritage – Research Outcomes",
       "content_html": "Research Outcomes The main focus of this four-year endeavour was, of course, the completion of the dissertation, submitted as a monograph. In addition, contributions were made through the publication of articles in peer-reviewed journals and conference proceedings, as well as writing a book chapter. Further essential activities included developing scripts for data collection and analysis, building data pipeline workflows, and designing and implementing data models, with a particular emphasis on using Linked Open Usable Data (LOUD) standards such as Linked Art, a metadata application profile for describing cultural heritage. The research outcomes related to the PhD are organised alphabetically by category, with the most recent ones listed first within each category. Book Chapter To be published Conference Papers Raemy, J. A., Gray, T., Collinson, A., &amp; Page, K. R. (2023). Enabling Participatory Data Perspectives for Image Archives through a Linked Art Workflow. In A. Baillot, W. Scholger, T. Tasovac, &amp; G. Vogeler (Eds.), Digital Humanities 2023 Book of Abstracts (Vol. 2023, pp. 515–516). Alliance of Digital Humanities Organizations (ADHO). https://doi.org/10.5451/unibas-ep95099 Felsing, U., Fornaro, P., Frischknecht, M., &amp; Raemy, J. A. (2023). Community and Interoperability at the Core of Sustaining Image Archives. Digital Humanities in the Nordic and Baltic Countries Publications, 5(1), 40–54. https://doi.org/10.5617/dhnbpub.10649 Manz, M. C., Raemy, J. A., &amp; Fornaro, P. (2023). Recommended 3D Workflow for Digital Heritage Practices. Archiving Conference, 20, 23–28. https://doi.org/10.2352/issn.2168-3204.2023.20.1.5 Raemy, J. A., &amp; Gautschy, R. (2023). Élaboration d’un processus pour les images 3D reposant sur IIIF. In S. Gabay, E. Leblanc, N. Carboni, R. Suciu, G. Lini, M. Barras, &amp; F. Idmhand (Eds.), Recueil des communications du 4e colloque Humanistica (pp. 1–3). Humanistica, l’association francophone des humanités numériques/digitales. https://doi.org/10.5451/unibas-ep94862 Raemy, J. A. (2022). Améliorer la valorisation des données du patrimoine culturel grâce au Linked Open Usable Data (LOUD). In N. Lasolle, O. Bruneau, &amp; J. Lieber (Eds.), Actes des journées humanités numériques et Web sémantique (pp. 132–149). Les Archives Henri-Poincaré - Philosophie et Recherches sur les Sciences et les Technologies (AHP-PReST); Laboratoire lorrain de recherche en informatique et ses applications (LORIA). https://doi.org/10.5451/unibas-ep89725 Raemy, J. A. (2021). Applying Effective Data Modelling Approaches for the Creation of a Participatory Archive Platform. In Y. Hou (Ed.), Human Factors in Digital Humanities (pp. 1–5). Institut des humanités digitales. https://doi.org/10.5451/unibas-ep87517 Data Analysis Raemy, J. A. (2023). LOUD consistency [Computer software]. https://github.com/julsraemy/loud-consistency Data Modelling As an integral part of both my doctoral research and active engagement in the PIA research project, I dedicated substantial efforts to data modelling. Cultural Anthropology Switzerland (CAS) Data Model CAS Data Model was redesigned for the database migration to the DaSCH Service Platform (DSP) IIIF Manifests Generation Raemy, J. A. (2024). daschiiify (Version 0.2.0) [Computer software]. https://github.com/dasch-swiss/daschiiify Raemy, J. A. (2023). iiif-photoalbum (Version 0.1.0) [Computer software]. https://github.com/participatory-Image-Archives/iiif-photoalbum PhD Data Model Metamodel done in Linked Art, to be updated Raemy, J. A. (2023). Linked Art Modelling [Computer software]. https://doi.org/10.5281/zenodo.7309787 Participatory Knowledge Practices in Analogue and Digital Image Archives (PIA) Data Model Ernst Brunner Thesaurus A controlled vocabulary done in Simple Knowledge Organization System (SKOS), using SkoHub Docker Vocabs, for the preferred terms used by the photographer Ernst Brunner. It is published at https://n2t.net/ark:/19156/tkt42. PIA Data Model (Legacy) Demleitner, A., &amp; Raemy, J. A. (2022). PIA Data Model (0.3.1) [Computer software]. https://doi.org/10.5281/zenodo.5142605 PIA Linked Art Data Model Raemy, J. A. (2022). PIA Linked Art (Version 0.1.0) [Computer software]. https://github.com/Participatory-Image-Archives/linkedart Journal Article Cornut, M., Raemy, J. A., &amp; Spiess, F. (2023). Annotations as Knowledge Practices in Image Archives: Application of Linked Open Usable Data and Machine Learning. Journal on Computing and Cultural Heritage, 16(4), 1–19. https://doi.org/10.1145/3625301 Lectures Spring Semester 2024 Within the PIA research project, we organised a lecture series during the spring semester 2024 where I gave a 2-hour presentation in one of the lessons: 70931-01 – Vorlesung: PIA. Partizipative Wissenspraktiken in analogen und digitalen Bildarchive Spring Semester 2023 With Murielle Cornut, PhD Candidate in Cultural Anthropology at the time, we taught a 30-hour course during the spring semester 2023 at the University of Basel: 67853-01 - Practical course: Bist du sicher, dass du dieses Foto löschen möchtest? Private Fotopraxis im Archivkontext (Meta)data Aggregation Raemy, J. A. (2023). e-periodica OAI-PMH - Ethnology and Folklore (Version 1.0.0) [Computer software]. https://doi.org/10.5281/zenodo.7777797 Posters Raemy, J. A., Gray, T., Collinson, A., &amp; Page, K. R. (2023, July 12). Enabling Participatory Data Perspectives for Image Archives through a Linked Art Workflow (Poster). Digital Humanities 2023 Posters. Digital Humanities 2023, Graz, Austria. https://doi.org/10.5281/zenodo.7878358 Raemy, J. A., &amp; Gautschy, R. (2023, June 28). Élaboration d’un processus pour les images 3D reposant sur IIIF (Poster). Colloque Humanistica 2023, Genève, Suisse. https://doi.org/10.5281/zenodo.7927862 Raemy, J. A. (2022, October 20). Back and Forth from Boundary Objects to IIIF Resources: The Recipes of a Community-driven Initiative Specifying Standards. DARIAH-CH Study Day 2022 Posters. DARIAH-CH Study Day, Mendrisio, Switzerland. https://doi.org/10.5281/zenodo.7015256 Preprints Raemy, J. A., &amp; Demleitner, A. (2023). Implementation of the IIIF Presentation API 3.0 based on Software Support: Use Case of an Incremental IIIF Deployment within a Citizen Science Project. arXiv. https://doi.org/10.48550/ARXIV.2312.11116 Raemy, J. A., &amp; Sanderson, R. (2023). Analysis of the Usability of Automatically Enriched Cultural Heritage Data. arXiv. https://doi.org/10.48550/arXiv.2309.16635 Presentations I have given a lot of presentations during my PhD. On this website you can find a list of all the self-hosted presentations I have created since November 2022 using Marp (Markdown Presentation Ecosystem): https://julsraemy.ch/prezi Report Raemy, J. A. (2023). Characterising the IIIF and Linked Art Communities: Survey report (p. 29) [Report]. University of Basel. https://hal.science/hal-04162572",
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-      "url": "https://phd.julsraemy.ch/thesis.html",
-      "title": "LOUD for Cultural Heritage - PhD Thesis",
-      "content_html": "Linked Open Usable Data for Cultural Heritage: Perspectives on Community Practices and Semantic Interoperability PhD Thesis in Digital Humanities affiliated with the Graduate School of Social Sciences’ (G3S) doctoral programme. PDF Version on the University of Basel’s repository: (…) Submitted on DD Month 2024 Author Julien A. Raemy (University of Basel) https://orcid.org/0000-0002-4711-5759 Supervisors Prof. Dr. Peter Fornaro (University of Basel) https://orcid.org/0000-0003-1485-4923 Prof. Dr. Walter Leimgruber (University of Basel) Dr. Robert Sanderson (Yale University) https://orcid.org/0000-0003-4441-6852 Abstract My PhD focuses on web standards, i.e. Linked Open Usable Data (LOUD) specifications (such as the IIIF Presentation API 3.0, Linked Art, and the W3C Web Annotation Data Model), supporting the description and dissemination of cultural heritage resources. Two research axes or perspectives have been identified to investigate LOUD, the first axis focusing on community practices, i.e. assessing the mechanisms by which organisations, individuals and apparatuses are entangled in consensus-making, and the second on semantic interoperability, i.e. how to make data meaningful to machines in a standardised and interoperable manner. This work is grounded as part of the SNSF-funded research project Participatory Knowledge Practices in Analogue and Digital Image Archives (PIA), which aims to develop a citizen science platform around three photographic collections from the archives of Cultural Anthropology Switzerland (CAS), formerly the Swiss Society for Folklore Studies. The theoretical framework is firmly rooted in Actor-Network Theory (ANT), a constructivist approach mainly defined by Bruno Latour, as one of the objectives is to describe the associations between actors and the social fabrics of the LOUD ecosystem as well as to highlight the importance of non-human actors, such as the data models developed in the context of the PIA research project. Additionally, the theoretical framework is enriched by integrating complementary perspectives from Anna Haraway’s Situated Knowledges, Susan Leigh Star’s Boundary Objects, and Luciano Floridi’s Philosophy of Information. Each of these frameworks contributes uniquely to our understanding of LOUD and its socio-technical landscape. Overall, this doctoral thesis aims to contribute to the understanding of LOUD and their adoption within cultural heritage institutions. By investigating community practices and semantic interoperability, this research seeks to identify and address challenges and provide insights into how LOUD can be effectively used for the description and dissemination of cultural heritage resources, taking into account all the human and non-human entities needed to develop those standards and to learn from it in the broader cultural heritage field. Moreover, this research aims to recognise the evolution of community practices and the potential bias of a western-centred view. The empirical part of the research is not limited to the implementation of the LOUD standards within the PIA research project, it also comprises an analysis of the social fabrics of the IIIF and Linked Art communities, and an investigation of LUX, Yale Collections Discovery platform. Introduction (…) Context (…) Interlinking Cultural Heritage Data (…) Exploring Relationships through an Actor-Network Theory Lens (…) Research Scope and Methodology (…) The Social Fabrics of IIIF and Linked Art (…) PIA as a Laboratory (…) Yale’s LUX (…) Discussion (…) Conclusion (…) Bibliography (…) This page will host my PhD thesis in HTML format.",
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