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In this paper, we study data reuse in scholarly editing, providing insights into the current panorama and imagining future developments. We will focus on the reuse of data, leaving aside the reuse of code and models, which would require a separate enquiry; and would concentrate on machine-actionable reuse, as opposed to human consumption.

Digital Humanities research often provides opportunities for collaboration – but it just as often requires collaboration. The demands placed on DH projects in terms of technical skills and know-how are such that collaboration and a reliance on adequate research infrastructures become a necessity.

The Skills Gap Analysis, a recent survey among scholars describes the current distribution of (self-attested) practical text-processing skills and scholars' despair from the necessary skillset, as well as a perceived absence of "an entry point in(to) CLS education". We argue that corpus analysis is the entry point and why.

This paper describes the process of gathering, aggregating, harmonizing, and publishing epistolary metadata through collaboration with Finnish cultural heritage (CH) organizations in order to create an inclusive archive for bottom-up analyses of 19th-century epistolary culture in the Grand Duchy of Finland (1808/09-1917). The authors are working in the digital humanities consortium project Constellations of Correspondence (CoCo) [1]. The unified metadata collections are harmonized, linked, enriched, and published on a Linked Open Data (LOD) service, and as a semantic web portal. In Europe, there are several digital humanities projects using well-curated metadata (detailed information about senders, recipients, dates, and places) from edited letter collections - like CKCC [2], correspSearch [3, 4], the Early Modern Letters Online (EMLO) [5][6], Norkorr [7], and SKILLNET [8]. In our project, most of the data come from unpublished collections scattered around different Finnish CH organizations. Collaboration with these CH organizations is pivotal for the successful outcome of the project. It requires a dialogue with them throughout the whole project period in the form of seminars and site visits, as well as sharing blogs and newsletters, also after the organizations have provided their letter metadata. We have also already seen that some of the participating organizations are prepared to clean their metadata or catalogue previously uncatalogued archival material to provide better and more metadata for the project. We will discuss this two-way process using the Finnish National Gallery as a case study. An important challenge yet to be studied profoundly is, if and how the CoCo project will be able to deliver to the CH organizations their metadata in an enriched format. In the first phase of the project, we conducted a survey that was sent to over 100 CH organizations (extending from small local museums to official central archives). The paper describes how the information was collected and how the survey was constructed in order to provide us with detailed enough information regarding their 19th-century collections and metadata formats. At the same time, we had to keep the query succinct in order to make the answering as effortless as possible. As to the data processing, we began with more than 350 000 letters, from eight different sources, each in its own digital format. Although the received data is mostly structured, we needed to parse running text to retrieve metadata in nearly every collection. Moreover, we had to analyze each dataset and identify possible structural mistakes. Furthermore, some records required Natural Language Processing to get actor names (e.g. senders, recipients) in dictionary format. The most difficult task has been to process word files which contain correspondence metadata in a variety of formats, easily understandable to humans but difficult for computational processing. A harmonizing data model for epistolary metadata collections was developed, which builds on international standards like CIDOC CRM to promote interoperability. The most central classes are Letter, Place and Actor. Also, provenance and archival information are included. Finally, the actor data is enriched by linking it to external databases like Wikidata and the Finnish AcademySampo and BiographySampo. These external sources provide detailed biographical information, e.g., times and places of birth and death, name variations, occupations, or genealogical relationships. Information present in the letter metadata like actor names and times of sending and receiving is used for matching entities between our data and the external databases, and further to reconcile the actors between data sources. References [1] J. Tuominen, et al., Constellations of Correspondence: a linked data service and portal for studying large and small networks of epistolary exchange in the Grand Duchy of Finland, in: 6th Digital Humanities in Nordic and Baltic Countries Conference, 2022. URL: http://ceur-ws.org/Vol-3232/paper41.pdf. [2] C. van den Heuvel, Mapping knowledge exchange in Early Modern Europe: Intellectual and technological geographies and network representations, International Journal of Humanities and Arts Computing 9 (2015) 95–114. doi:10.3366/ijhac.2015.0140. [3] S. Dumont, S. Grabsch, J. Müller-Laackman, correspsearch – connect scholarly editions of correspondence (2.0.0) [web service], Berlin–Brandenburg Academy of Sciences and Humanities, 2021. URL: https://correspSearch.net. [4] S. Dumont, correspSearch – connecting scholarly editions of letters, Journal of the Text Encoding Initiative (2016). doi:10.4000/jtei.1742. [5] URL: http://emlo.bodleian.ox.ac.uk. [6] H. Hotson, T. Wallnig (Eds.), Reassembling the Republic of Letters in the Digital Age: Standards, Systems, Scholarship, Göttingen University Press, 2019. [7] A. Rockenberger, et al., Norwegian correspondences and linked open data, in: Proceedings of the Digital Humanities in the Nordic Countries 4th Conference, volume 2364 of CEUR Workshop Proceedings, 2019, pp. 365–375. URL: http://ceur-ws.org/Vol-2364/33_paper.pdf. [8] Sharing Knowledge in Learned and Literary Networks – The Republic of Letters as a Pan-European Knowledge Society (SKILLNET), URL: https://skillnet.nl.

This short presentation offers insight into the development process of a digital edition of archived social media. The presentation will outline general design choices and provide insight into the schema development as well as outline challenges.

This presentation offers a side-by-side comparison of the publication processes for traditional monographs versus complex interactive digital projects. Prepared by Stanford University Press whose 6-year Mellon-funded digital publishing initiative is coming to a close in December 2023, the presentation reflects on the highly collaborative processes digital publications require.

To detect conflicts in literary texts, this short paper adapts word embedding based sentiment analysis for assigning conflict values to texts. This heuristic approach is able to output relevant verb phrases of a corpus of German novels from the Romantic period and indicate first trends in the corpus.

Digital access to social sciences and humanities (SSH) research resources is necessary to enable broad use. For this purpose, a discovery platform for SSH resources was created. This paper describes its development, based on user, economic, and computer science research methods, and illustrates how such a platform supports social exchange.

We are presenting the results of mutual collaboration within two different, but related, projects in the field of cultural heritage digitization. Shared outcomes of our mutual collaboration include the valorization of cultural heritage items and experimental work on enriching a visualization application with a functionality to annotate graphs.

In our workshop, we invite Digital Humanists to explore the OpenMethods metablog as an innovative publication forum and to strengthen the representation of traditionally underrepresented languages and actors in Digital Humanities - particularly non-Anglophone, under-resourced languages (such as languages with non-Latin scripts) or female tool-makers - on the platform in particular and in the Digital Humanities discourse in general.

This panel will explore the various aspects of what is involved, not only in conceiving and building a 3D infrastructure, but in creating 3D Scholarly editions and developing the viewers that allow stories to be created around them. It will also explore issues around training the community of the infrastructure.

This paper aims to elucidate the origin and metadata of land surveying maps, which meticulously document the landforms and features of various regions across mainland China between 1895 and 1944. Additionally, the digitization process of this research will be outlined. Furthermore, this paper will introduce the user interface of CHMap from two perspectives: firstly, CHMap as a platform for land survey maps, and secondly, CHMap as a tool for linking maps and images from disparate eras and sources.

The TEITOK REST API lets you interact with your corpus remotely - to upload documents in various formats - automatically converted to TEI/XML; to render search results; to run an NLP pipeline on the server; or download the content of corpus document, treat that content locally with local NLP tools or manual annotation tools, and then upload the results back to the server, where the new or corrected annotations will be incorporated into the original TEI/XML document without destroying any of the potentially complex annotations already in the document.

Engaging both creators of digital web-based content and researchers of content on the web, this tutorial introduces and demonstrates toolsets for crawling and sharing web archives. Unlike large-scale subscription services like ArchiveIt, these open-source tools allow individuals and small groups to archive websites and web-hosted data more granularly and deeply.

In this half-day workshop, participants will learn how to use different components of the Linked Editing Academic Framework (LEAF) digital scholarship production platform: encoding and annotating texts, entity tagging and reconciliation, coordinating different types of media files into compound objects and galleries, managing metadata and workflow tracking, and producing a simple collection of objects. Using sample text and image objects, with the possibility of experimenting with their own materials, participants will come away with an understanding of how LEAF supports collaborative digital scholarly production in an open-source, open-access web environment.

In contemporary humanities research, software plays a central role in the acquisition, enrichment, analysis, and publication of digital data. This paper aims at measuring the current practice of citation of software in DH conference abstracts and to foster the sustainable and scholarly use of software.

We present our ongoing effort to develop Rekall-IIIF, a platform that aims at providing an extensible software base for all communities in need for multimedia and multimodal annotation tools. It is modular, Open Source and built on the IIIF standard (https://iiif.io/).

OPERAS Innovation Lab provides targeted guidance for scholars seeking to disseminate their outputs in an innovative way. This poster presents three case studies of workflows for innovative scholarly communication: 1) toolkit/anthology; 2) interdisciplinary online journal; 3) software services. The workflows will serve as blueprints for SSH scholars.

The use of computational approaches with legacy catalogue descriptions enables new insights into their authors' historical perspectives, and provides the means for their evaluation and transformation into contemporary online catalogue records. I discuss my computational research with the historical catalogues of the British Library collection of pre-1500 published books.

We propose to leverage public vulnerability scanners to examine the servers where online digital projects are hosted and list their common vulnerabilities. Provided in an anonymized, aggregated fashion, this assessment will shed light on our hypothesis: cyber threats are a significant factor in the degradation of online projects.

PUDEL is a new service for sharing and documenting DH data models. It is developed as a free and open-source software, and can easily be included into existing DH research practices. It provides institutions, researchers and specialists with the tools for sharing and preserving their data models.

This contribution discusses how collaboration between content holder, researchers, software engineers, experts in digitisation and in corpus building has drastically improved the digitisation workflow and the output of a corpus of 17th century newspapers.

In this panel we offer a multifaceted and interdisciplinary perspective on the development of the Sloane Lab. We contextualise it both within a wider, nationally-funded drive to make the UK's cultural heritage, and information about it, computationally tractable and the more internationally-positioned work of 'Collections as Data'.

This paper contributes to the assessment of various – possibly impacting – factors during the collection of ground truth data for training HTR-systems. By scrutinising different parameters (e.g. scribal hands, handwriting styles, spelling profiles, textual genres, etc.) we will report on the impact of various train-target combinations.

Artificial Intelligence (AI) technologies such as Deep Learning and Transfer Learning are rapidly advancing text and image classification in many disciplines (e.g., Lucas et al. 2022, Huang et al. 2022, Kumar et al. 2020). With the progressing digitisation of cultural heritage, AI increasingly finds applications in arts and humanities disciplines as well (Cetinic et al. 2019, Saleh / Elgammal 2016). It is evident that AI technologies open new possibilities for processing and analysing large, heterogeneous historical data corpora in a semi-automated way (Im et al. 2022). But do they have the potential to “overturn intellectual legacies” and to revolutionise the field? In the project Ottoman Nature in Travelogues (ONiT 2023) we strive to leverage the application of AI technologies to historical research by developing an interdisciplinary methodological framework for the semi-automated, AI-driven analysis of text–image relations. Our object of study is a large multilingual corpus of travelogues printed 1501–1850 (Rörden et al. 2020) that contains representations of Ottoman “nature” (i.e., flora, fauna, landscapes) both in text and image. This short presentation focuses on our first results achieved for improving image classification of historical prints (i.e., mostly woodcuts, engravings, and etchings). We present our approach to robustly identify and classify key image types in our corpus and discuss challenges and lessons learned during this process. &nbsp

This contribution illustrates the preliminary results of the project concerning Giorgio Bassani's personal library. The project provides both a printed traditional edition of the notes he wrote on his books and the development of a digital environment to browse and analyze them.

VedaWeb is an established research website for the ancient Vedic text Rigveda. It now evolves into an open collaborative platform for researching and sharing Vedic Sanskrit language data in a broader perspective. How will the new platform stimulate collaborative processes among researchers of Vedic Sanskrit and beyond?

ARS is a networking platform for architecture research that enables new interdisciplinary collaborations. The presentation outlines the infrastructural need for a platform like ARS and explains the underlying collaboration model relying on graph-technology. A showcase of the prototype displays and discusses learnings from first user tests and the development process.

Participants are invited to explore modelling and annotation through exercises demonstrating music research conducted in Oxford and Vienna. After hands-on ontology design exercises with pen and paper, they are introduced to cutting-edge digital tooling and led through research processes of an ongoing project investigating the Vienna Philharmonic's New Year's Concerts.

This presentation reports on a case study investigating how NaturalLanguage Processing, a field that applies computational methodssuch as Machine Learning to human-written texts, can supportthe measurement and evaluation of gender biased languagein archival catalogs. Working with English descriptions from thecatalog metadata of the University of Edinburgh’s Archives, wecreated an annotated dataset and classification models that identifygender biases in the descriptions. Conducted with archival data,the case study holds relevance across Galleries, Libraries, Archives,and Museums (GLAM), particularly for institutions withcatalog descriptions in English. In addition to bringing NaturalLanguage Processing (NLP) methods to Archives, we identifiedopportunities to bring Archival Science methods, such as CulturalHumility (Tai, 2021) and Feminist Standpoint Appraisal (Caswell,2022), to NLP. Through this two-way disciplinary exchange,we demonstrate how Humanistic approaches to bias and uncertaintycan upend legacies of gender-based oppression that mostcomputational approaches to date uphold when working with dataat scale.

Based on ongoing research in the collaborative Digital Theological Hobbes (DTH) project, this long presentation aims to showcase the benefits of a textometric approach to the elaboration and exploitation of a machine-readable model of Hobbes's Bible in the English political works relying on the TXM software platform.

The contemporary focus on the 'data problem' in the humanities centers on the uniqueness of humanities data. We argue this is a mistake. Humanities data are not special because of what they are, but rather because of how they are used. The "problem" with Humanities data lies in the use-case.

Composed to mark Franz Joseph's state visit to Wilhelm II, Strauss' Kaiser Walzer (Emperor Waltz) provokes the question: which Emperor was it for? We investigate this in a case study of interdisciplinary collaboration in digital musicology, employing a FAIR data multimedia corpus associated with the Vienna Philharmonic's New Year's Concerts.

Since CATMA version 6.0 project data can be accessed in the form of Git repositories. A Python library which enables easy access to this data was developed at the department of Digital Philology at the Technical University of Darmstadt. It makes it possible to further process annotations using established and popular Python data science tools. The poster will serve as a kind of instruction manual for the use of the CATMA Git Access and the Python library.

This poster presents the proposal for a web-based tool designed to create graph-based digital commentaries. The tool is based on the Web Annotation Data Model and allows collaboration of several users in the preparation of a commentary.

The scientific instruments of the C18th/19th centuries are complex, consequent artefacts, encoding experimental possibilities, older craft knowledge and, frequently, colonial control. Surviving examples are often uniquely well-travelled: globally, locally and within collections. The paper considers the used of Linked Open Data to trace their physical and conceptual itineraries over time.

In this paper we tackle the improvement of so called spatial stable word clouds. Specifically the improvements target the performance, layout and a generalization to synchronize clouds for multiple, collated text witnesses. This allows the spatial stable word clouds to be used in interactive applications and especially in tools for scholarly editions.

This workshop is a participant-led knowledge sharing platform for digitally-oriented labs in the humanities and social sciences. The workshop will provide the opportunity to share experiences and learn from others on the intellectual and operational function of labs, and to exchange good practices for successful and sustainable digital labs.

Kao is a stylized signature used in East Asian cultures. Its location and size are important elements of document manners. This study explores information about their location and size in images through numerical summarization and visualization, and provides quantitative results that support existing tacit knowledge.

We aim to introduce a comprehensive workflow for the enrichment and linking the metadata of a literary corpus, including an implementation of FAIR principles, which have been developed in the field of scientific data management. We will present the practical application of the workflow using a corpus of Polish novels.

This workshop will discuss the field of stylometry and authorship attribution, and its application to the development of legal evidence. Workshop participants will be invited to participate in a discussion of the development of consensus standards to help improve reliability and to permit evaluation of proposed stylometric evidence.

In this poster we present the ongoing development of an integrated free and open source toolchain for semantic annotation of digitised cultural heritage. The toolchain development involves the specification of a common data model that aims to increase interoperability across diverse datasets and to enable new collaborative research approaches.

This paper presents our work on training two automatic NER models for ancient Greek using transformer-based models. The models classify the entities into three categories, namely, Person, Location, and Miscellaneous and achieved promising results on test and evaluation datasets.