update abstract

_site/research.html

@@ -6,12 +6,12 @@
     <meta name="description" content="Research Outcomes related to my PhD thesis titled Linked Open Usable Data for Cultural Heritage: Perspectives on Community Practices and Semantic Interoperability">
     <meta name="keywords" content="Linked Open Usable Data, LOUD, IIIF, International Image Interoperability Framework, Linked Art, Web Annotation Data Model, W3C, Digital Humanities, Cultural Heritage, Linked Data, Semantic Interoperability, Community Practices, PhD, LUX: Yale Collections Discovery, University of Basel, Cultural Anthropology Switzerland, PIA, Participatory Knowledge Practices in Analogue and Digital Image Archives, Research Outcomes, Journal Article, Conference Paper, Book Chapter, Data Curation, Data Modelling, Software, Data Pipeline">
     <meta name="author" content="Julien A. Raemy">
-    <meta name="last-modified" content="2024-08-21T00:00:00.000Z">
+    <meta name="last-modified" content="2024-12-06T00:00:00.000Z">
 
     <!-- Dublin Core -->
     <meta name="DC.title" content="LOUD for Cultural Heritage – Research Outcomes">
     <meta name="DC.creator" content="Raemy, Julien Antoine">
-    <meta name="DC.date" content="2024-08-21">
+    <meta name="DC.date" content="2024-12-06">
     <meta name="DC.type" content="WebPage">
     <meta name="DC.identifier" content="https://phd.julsraemy.ch/research.html">
     <!-- Conditional DOI Identifier -->
@@ -97,7 +97,7 @@
                 "https://www.linkedin.com/in/julienaraemy/"
             ]
         },
-        "datePublished": "Wed Aug 21 2024 02:00:00 GMT+0200 (Central European Summer Time)",
+        "datePublished": "Fri Dec 06 2024 01:00:00 GMT+0100 (Central European Standard Time)",
         "description": "Research Outcomes related to my PhD thesis titled Linked Open Usable Data for Cultural Heritage: Perspectives on Community Practices and Semantic Interoperability",
         "keywords": "Research Outcomes, Journal Article, Conference Paper, Book Chapter, Data Curation, Data Modelling, Software, Data Pipeline"
     }

_site/sitemap.xml

@@ -22,18 +22,18 @@
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+        <url>
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+            <lastmod>2024-12-06T00:00:00.000Z</lastmod>
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src/research.md

@@ -3,7 +3,7 @@ layout: layout.njk
 title: "LOUD for Cultural Heritage – Research Outcomes"
 description: "Research Outcomes related to my PhD thesis titled Linked Open Usable Data for Cultural Heritage: Perspectives on Community Practices and Semantic Interoperability"
 keywords: "Research Outcomes, Journal Article, Conference Paper, Book Chapter, Data Curation, Data Modelling, Software, Data Pipeline"
-date: "2024-08-21"
+date: "2024-12-06"
 schemaType: "WebPage"
 permalink: "/research.html"
 ---

src/thesis.md

@@ -1,18 +1,17 @@
 ---
 layout: thesis.njk
 title: "Linked Open Usable Data for Cultural Heritage: Perspectives on Community Practices and Semantic Interoperability"
-description: "This doctoral thesis explores the impact of digital technologies on the accessibility and engagement with cultural heritage (CH) collections, focusing on web standards known as Linked Open Usable Data (LOUD) specifications. These include the International Image Interoperability Framework (IIIF) Presentation API 3.0, Linked Art, and the W3C Web Annotation Data Model, which have been developed to facilitate the description and dissemination of CH resources. Despite the widespread adoption of IIIF, the implementation of LOUD specifications, particularly when used in combination, presents significant challenges, especially in developing and assessing the infrastructures that support these standards.
+description: "Digital technologies have fundamentally transformed how Cultural Heritage (CH) collections are accessed and engaged with. Linked Open Usable Data (LOUD) specifications, including the International Image Interoperability Framework (IIIF) Presentation API 3.0, Linked Art, and the Web Annotation Data Model (WADM), have emerged as web standards to facilitate the description and dissemination of these valuable resources. Despite the widespread adoption of IIIF, implementing LOUD specifications, particularly in combination, remains challenging. This is especially evident in the development and assessment of infrastructures, or sites of assemblage, that support these standards.
 
-The research is guided by two primary perspectives: community practices and semantic interoperability. The first examines how organisations, individuals, and tools contribute to the consensus-making processes within the LOUD ecosystem, offering insights into the social structures that underpin these practices. The second perspective explores how data can be standardised and made interoperable to ensure meaningful machine-readable information, facilitating well-formed data exchange. This work is part of the SNSF-funded research project Participatory Knowledge Practices in Analogue and Digital Image Archives (PIA) (2021-2025), which aims to develop a citizen science platform around three photographic collections from the archives of Cultural Anthropology Switzerland (CAS). The theoretical framework is firmly rooted in Actor-Network Theory (ANT), with the thesis aiming to describe the collaborative structures of the LOUD ecosystem and highlight the role of non-human actors.
+This research is guided by two perspectives: community practices and semantic interoperability. The first perspective assesses how organizations, individuals, and apparatuses engage with and contribute to the consensus-making processes surrounding LOUD. By examining these practices, the social fabrics of the LOUD ecosystem can be better understood. The second perspective focuses on making data meaningful to machines in a standardized, interoperable manner that promotes the exchange of well-formed information. This research is grounded in the SNSF-funded project, *Participatory Knowledge Practices in Analogue and Digital Image Archives* (PIA) (2021–2025), which aims to develop a citizen science platform for three photographic collections from the Cultural Anthropology Switzerland (CAS) archives. Actor-Network Theory (ANT) forms the theoretical foundation, aiming to describe the collaborative structures of the LOUD ecosystem and emphasize the role of non-human actors.
 
-Beyond the implementation of LOUD standards within the PIA research project, the empirical research includes an analysis of the social structures within the IIIF and Linked Art communities, as well as an investigation of LUX, Yale Collections Discovery platform. This research seeks to identify the socio-technical requirements for developing specifications that align with LOUD design principles. Additionally, it examines how implementing LOUD standards within PIA reveals their potential benefits and limitations in facilitating data reuse and broader participation. The thesis also delves into Yale University's large-scale deployment of LOUD standards, focusing on the consistency of Linked Art and IIIF resources within the LUX platform and their contribution to the CH domain.
+Beyond its implementation within the PIA project, this research includes an analysis of the social dynamics within the IIIF and Linked Art communities and an investigation of Yale's Collections Discovery platform, LUX. The research identifies socio-technical requirements for developing specifications aligned with LOUD principles. It also examines how the implementation of LOUD standards in PIA highlights their potential benefits and limitations in facilitating data reuse and broader participation. Additionally, it explores Yale University's large-scale deployment of LOUD standards, emphasizing the importance of ensuring consistency between Linked Art and IIIF resources within the LUX platform for the CH domain.
 
-The methodology employed in this thesis is an actor and practice-centred inquiry, offering a detailed examination of specific cosmologies within LOUD-driven communities, PIA, and LUX. This approach seeks to uncover the intricate cultural processes and constellations through a micro-perspective, enriched by empirical evidence.
+The core methodology of this thesis is an actor- and practice-centered inquiry, focusing on a detailed examination of specific cosmologies within LOUD-driven communities, PIA, and LUX. This micro-perspective approach provides rich empirical evidence to unravel the intricate web of cultural processes and constellations in these contexts.
 
-Key findings indicate that LOUD improves the discoverability and integration of CH data, requiring community-driven consensus on model interoperability. Significant challenges include engaging marginalised groups, sustaining long-term participation, and balancing technological and social factors. While LOUD presents opportunities for improving digital materiality and strategic technology use, it also poses challenges related to resource investment, data consistency, and the broader implementation of complex patterns.
+Key empirical findings indicate that LOUD enhances the discoverability and integration of data in CH, requiring community-driven consensus on model interoperability. However, significant challenges include engaging marginalized groups, sustaining long-term participation, and balancing technological and social factors. Strategic use of technology and the capture of digital materiality are critical, but LOUD also poses challenges related to resource investment, data consistency, and the broader implementation of complex patterns.
 
-LOUD should lead efforts to enhance the accessibility and usability of CH data. The community-driven approaches of IIIF and Linked Art foster collaboration and transparency, making these standards essential tools in the ongoing evolution of data management. Even for projects and institutions that do not adopt these specifications, LOUD's socio-technical practices offer valuable insights into effective digital stewardship and community engagement strategies."
-keywords: "Community of Practice; Cultural Anthropology Switzerland; Cultural Heritage; Digital Infrastructure; International Image Interoperability Framework; Linked Art; Linked Data; LUX; Participatory Archives; Photographic Archives; Semantic Interoperability; Socio-technical; Web Annotation Data Model"
+LOUD should lead efforts to improve the accessibility and usability of CH data. The community-driven methodologies of IIIF and Linked Art inherently foster collaboration and transparency, making these standards essential tools in evolving data management practices. Even for institutions and projects that do not adopt these specifications, the socio-technical practices of LOUD offer vital insights into effective digital stewardship and strategies for community engagement."
 changeFreq: "daily"
 sitemapPriority: "1.0"
 schemaType: "Thesis"
@@ -49,18 +48,17 @@ https://orcid.org/0000-0003-4441-6852
 
 ## Abstract
 
-This doctoral thesis explores the impact of digital technologies on the accessibility and engagement with cultural heritage (CH) collections, focusing on web standards known as [Linked Open Usable Data](loud.html) (LOUD) specifications. These include the [International Image Interoperability Framework (IIIF) Presentation API 3.0](https://iiif.io/api/presentation/3.0/), [Linked Art](https://linked.art), and the [W3C Web Annotation Data Model](https://www.w3.org/TR/annotation-model/), which have been developed to facilitate the description and dissemination of CH resources. Despite the widespread adoption of IIIF, the implementation of LOUD specifications, particularly when used in combination, presents significant challenges, especially in developing and assessing the infrastructures that support these standards.
+Digital technologies have fundamentally transformed how Cultural Heritage (CH) collections are accessed and engaged with. [Linked Open Usable Data](loud.html) (LOUD) specifications, including the [International Image Interoperability Framework (IIIF) Presentation API 3.0](https://iiif.io/api/presentation/3.0/), [Linked Art](https://linked.art), and the [W3C Web Annotation Data Model](https://www.w3.org/TR/annotation-model/), have emerged as web standards to facilitate the description and dissemination of these valuable resources. Despite the widespread adoption of IIIF, implementing LOUD specifications, particularly in combination, remains challenging. This is especially evident in the development and assessment of infrastructures, or sites of assemblage, that support these standards.
 
-The research is guided by two primary perspectives: community practices and semantic interoperability. The first examines how organisations, individuals, and tools contribute to the consensus-making processes within the LOUD ecosystem, offering insights into the social structures that underpin these practices. The second perspective explores how data can be standardised and made interoperable to ensure meaningful machine-readable information, facilitating well-formed data exchange. This work is part of the [SNSF-funded research project Participatory Knowledge Practices in Analogue and Digital Image Archives](pia.html) (PIA) (2021-2025), which aims to develop a citizen science platform around three photographic collections from the archives of Cultural Anthropology Switzerland (CAS). The theoretical framework is firmly rooted in Actor-Network Theory (ANT), with the thesis aiming to describe the collaborative structures of the LOUD ecosystem and highlight the role of non-human actors.
+This research is guided by two perspectives: community practices and semantic interoperability. The first perspective assesses how organizations, individuals, and apparatuses engage with and contribute to the consensus-making processes surrounding LOUD. By examining these practices, the social fabrics of the LOUD ecosystem can be better understood. The second perspective focuses on making data meaningful to machines in a standardized, interoperable manner that promotes the exchange of well-formed information. This research is grounded in the SNSF-funded project, [Participatory Knowledge Practices in Analogue and Digital Image Archives](pia.html) (PIA) (2021–2025), which aims to develop a citizen science platform for three photographic collections from the Cultural Anthropology Switzerland (CAS) archives. Actor-Network Theory (ANT) forms the theoretical foundation, aiming to describe the collaborative structures of the LOUD ecosystem and emphasize the role of non-human actors.
 
-Beyond the implementation of LOUD standards within the PIA research project, the empirical research includes an analysis of the social structures within the IIIF and Linked Art communities, as well as an investigation of [LUX, Yale Collections Discovery](https://lux.collections.yale.edu/) platform. This research seeks to identify the socio-technical requirements for developing specifications that align with LOUD design principles. Additionally, it examines how implementing LOUD standards within PIA reveals their potential benefits and limitations in facilitating data reuse and broader participation. The thesis also delves into Yale University's large-scale deployment of LOUD standards, focusing on the consistency of Linked Art and IIIF resources within the LUX platform and their contribution to the CH domain.
+Beyond its implementation within the PIA project, this research includes an analysis of the social dynamics within the IIIF and Linked Art communities and an investigation of Yale's Collections Discovery platform, [LUX](https://lux.collections.yale.edu/). The research identifies socio-technical requirements for developing specifications aligned with LOUD principles. It also examines how the implementation of LOUD standards in PIA highlights their potential benefits and limitations in facilitating data reuse and broader participation. Additionally, it explores Yale University's large-scale deployment of LOUD standards, emphasizing the importance of ensuring consistency between Linked Art and IIIF resources within the LUX platform for the CH domain.
 
-The methodology employed in this thesis is an actor and practice-centred inquiry, offering a detailed examination of specific cosmologies within LOUD-driven communities, PIA, and LUX. This approach seeks to uncover the intricate cultural processes and constellations through a micro-perspective, enriched by empirical evidence.
+The core methodology of this thesis is an actor- and practice-centered inquiry, focusing on a detailed examination of specific cosmologies within LOUD-driven communities, PIA, and LUX. This micro-perspective approach provides rich empirical evidence to unravel the intricate web of cultural processes and constellations in these contexts.
 
-Key findings indicate that LOUD improves the discoverability and integration of CH data, requiring community-driven consensus on model interoperability. Significant challenges include engaging marginalised groups, sustaining long-term participation, and balancing technological and social factors. While LOUD presents opportunities for improving digital materiality and strategic technology use, it also poses challenges related to resource investment, data consistency, and the broader implementation of complex patterns.
-
-LOUD should lead efforts to enhance the accessibility and usability of CH data. The community-driven approaches of IIIF and Linked Art foster collaboration and transparency, making these standards essential tools in the ongoing evolution of data management. Even for projects and institutions that do not adopt these specifications, LOUD's socio-technical practices offer valuable insights into effective digital stewardship and community engagement strategies.
+Key empirical findings indicate that LOUD enhances the discoverability and integration of data in CH, requiring community-driven consensus on model interoperability. However, significant challenges include engaging marginalized groups, sustaining long-term participation, and balancing technological and social factors. Strategic use of technology and the capture of digital materiality are critical, but LOUD also poses challenges related to resource investment, data consistency, and the broader implementation of complex patterns.
 
+LOUD should lead efforts to improve the accessibility and usability of CH data. The community-driven methodologies of IIIF and Linked Art inherently foster collaboration and transparency, making these standards essential tools in evolving data management practices. Even for institutions and projects that do not adopt these specifications, the socio-technical practices of LOUD offer vital insights into effective digital stewardship and strategies for community engagement.
 
 **Keywords**: Actor-Network Theory; Community of Practice; Cultural Anthropology Switzerland; Cultural Heritage; Digital Infrastructure; International Image Interoperability Framework; Knowledge Practices; Linked Art; Linked Data; LUX; Participatory Archives; Photographic Archives; Semantic Interoperability; Web Annotation Data Model