fix: update DOIs for faulty PDFs

digihistch24 · Nov 15, 2024 · 999b53d · 999b53d
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diff --git a/submissions/427/index.qmd b/submissions/427/index.qmd
@@ -26,10 +26,11 @@ key-points:
   - Software development is increasingly important in digital humanities research projects, yet many struggle to implement modern engineering practices that enhance sustainability and speed up development.
   - Developing an XML schema for a scholarly edition project is challenging but can provide a solid foundation for the project when executed effectively.
 date: 09-13-2024
-doi: 10.5281/zenodo.13907721
+date-modified: 11-15-2024
+doi: 10.5281/zenodo.14171339
 other-links:
   - text: Presentation Slides (PDF)
-    href: https://doi.org/10.5281/zenodo.13907721
+    href: https://doi.org/10.5281/zenodo.14171339
 bibliography: references.bib
 ---
 

diff --git a/submissions/429/index.qmd b/submissions/429/index.qmd
@@ -24,10 +24,11 @@ key-points:
   - Students from the Belfort-Montbéliard University of Technology participate directly in the project by modeling buildings, machines, or by working on knowledge engineering.
   - Their reports make it possible to identify points that most marked them, namely the discovery of human sciences and their difficulties, as well as new technical and organizational skills learning.
 date: 09-13-2024
-doi: 10.5281/zenodo.13904555
+date-modified: 11-15-2024
+doi: 10.5281/zenodo.14171328
 other-links:
   - text: Presentation Slides (PDF)
-    href: https://doi.org/10.5281/zenodo.13904555
+    href: https://doi.org/10.5281/zenodo.14171328
 bibliography: references.bib
 ---
 

diff --git a/submissions/431/index.qmd b/submissions/431/index.qmd
@@ -26,7 +26,8 @@ key-points:
   - Key point 2 The RAG database, with data on 62,000 scholars, has advanced from manual to computer-aided and AI-assisted data collection and analysis.
   - Key point 3 Technological advancements, including the use of nodegoat, have enhanced data management, collaboration, and accessibility, integrating AI for improved historical data analysis.
 date: 09-12-2024
-doi: 10.5281/zenodo.13907024
+date-modified: 11-15-2024
+doi: 10.5281/zenodo.14171301
 other-links:
   - text: Post on Personal Blog
     href: https://doi.org/10.58079/126xr

diff --git a/submissions/444/index.qmd b/submissions/444/index.qmd
@@ -25,11 +25,11 @@ key-points:
   - Key point 2 Archival metadata is an untapped research resource for digital humanities, but its use requires close collaboration with cultural heritage organisations and practical knowledge of archival practices.
   - Key point 3 The user test survey of the portal with 19th-century letter metadata showed that building a committed test group is challenging and that 'traditional' humanists have difficulties in studying mass data.
 date: 09-12-2024
-date-modified: 10-07-2024
-doi: 10.5281/zenodo.13904128
+date-modified: 11-15-2024
+doi: 10.5281/zenodo.14171306
 other-links:
   - text: Presentation Slides (PDF)
-    href: https://doi.org/10.5281/zenodo.13904128
+    href: https://doi.org/10.5281/zenodo.14171306
 bibliography: references.bib
 ---
 

diff --git a/submissions/445/index.qmd b/submissions/445/index.qmd
@@ -23,10 +23,11 @@ key-points:
   - ATR tools are in a constant state of flux, which is why teaching modules should explain the wider context and not specific buttons.
   - Working with historical documents today often takes place at the intersection between tried and tested analog methods and new digital approaches, which is why our teaching module takes these intersections into account.
 date: 09-12-2024
-doi: 10.5281/zenodo.13904071
+date-modified: 11-15-2024
+doi: 10.5281/zenodo.14171285
 other-links:
   - text: Presentation Slides (PDF)
-    href: https://doi.org/10.5281/zenodo.13904071
+    href: https://doi.org/10.5281/zenodo.14171285
 bibliography: references.bib
 ---
 ## Introduction

diff --git a/submissions/460/index.qmd b/submissions/460/index.qmd
@@ -22,10 +22,11 @@ key-points:
   - The raw dataset was published via DataDOI, an Open Access repository managed by the University of Tartu library in accordance to FAIR principles.
   - The data shows that a key factor in building and maintaining the glass community was godparenting and marriages between the families.
 date: 09-12-2024
-doi: 10.5281/zenodo.13904260
+date-modified: 11-15-2024
+doi: 10.5281/zenodo.14171320
 other-links:
   - text: Presentation Slides (PDF)
-    href: https://doi.org/10.5281/zenodo.13904260
+    href: https://doi.org/10.5281/zenodo.14171320
 bibliography: references.bib
 ---
 

diff --git a/submissions/468/index.qmd b/submissions/468/index.qmd
@@ -18,8 +18,8 @@ keywords:
   - Audiovisual Media
   - Film History
 date: 09-12-2024
-date-modified: 10-22-2024
-doi: 10.5281/zenodo.13907455
+date-modified: 11-15-2024
+doi: 10.5281/zenodo.14171325
 bibliography: references.bib
 ---
 

diff --git a/submissions/482/index.qmd b/submissions/482/index.qmd
@@ -22,10 +22,11 @@ keywords:
 abstract: |
   Our presentation reflects on the experience gained in an ongoing SNSF-funded research project investigating the internationalization of patent systems. In our research, we mix different methods: traditional historical methods allow us to shed light on the role of intergovernmental agreements and of private networks of patent specialists; digital analysis enables us to trace how internationalization stemmed from patent practice itself, and to study the activity of patentees that have left few historical traces. Relying on a large corpus (over 4 million documents) of digitized patents, we use text mining and computer vision techniques to explore the corpus and operationalize the concept of internationalization. In this paper, we focus on the challenges of matching (almost) identical drawings between patents of different countries, combining image embeddings (obtained by using a pretrained convolutional neural network) and feature matching (SIFT).
 date: 09-12-2024
-doi: 10.5281/zenodo.13904197
+date-modified: 11-15-2024
+doi: 10.5281/zenodo.14171307
 other-links:
   - text: Presentation Slides (PDF)
-    href: https://doi.org/10.5281/zenodo.13904197
+    href: https://doi.org/10.5281/zenodo.14171307
 bibliography: references.bib
 ---
 

diff --git a/submissions/687/index.qmd b/submissions/687/index.qmd
@@ -14,11 +14,11 @@ keywords:
 abstract: |
   The digitization of historical materials and the application of computational techniques significantly expand the spectrum of sources and questions for historical research. However, the practical use of computer-assisted methods often involves resolving technical problems unique to a specific project. When teaching such methods to history students, this is the major challenge: there isn't a simple set of commands that covers all the potential issues in a research project. Moreover, the goal is not to train humanities students to be computer scientists, but to equip them with the skills to tackle specific problems. I will discuss how, based on problems faced in my own research, I combine the teaching of computer-assisted methods with student projects to help the students understand the limitations of out-of-the-box solutions while letting them experience the possibilities of digital analyses. Through their own project, students learn how to break down research questions into separate, manageable technical tasks and identify which types of problems can and which can’t be resolved using digital history methods.
 date: 09-13-2024
-date-modified: 10-07-2024
-doi: 10.5281/zenodo.13904577
+date-modified: 11-15-2024
+doi: 10.5281/zenodo.14171331
 other-links:
   - text: Presentation Slides (PDF)
-    href: https://doi.org/10.5281/zenodo.13904577
+    href: https://doi.org/10.5281/zenodo.14171331
 bibliography: references.bib
 ---