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This report has been prepared by the “Bibliographical Data” Working Group of the DARIAH-ERIC consortium, which develops public digital research infrastructure for the arts and humanities. The Group consists of more than 30 members from 15 countries, most of whom are researchers and curators in the public sector who are engaged in bibliographical data (“bibliodata”) research and curation. This report is aimed at all active stakeholders in the humanities bibliodata landscape,especially public sector entities who may benefit from the Group’s insights and engage in cooperation to identify common interests, shape joint agendas, and achieve common goals. Those goals include creating shared infrastructure solutions, harmonising existing standards, and building partnerships to meet major challenges for contemporary bibliodata stakeholders. The bibliodata landscape is a dynamic ecosystem including the many stakeholders who produce, process, and use diverse bibliographical resources (datasets, tools, services). Following the digital revolution, this landscape has been reconfigured and a critical era is now upon us that demands closer investigation. This report analyses the state of the art by defining current bibliodata (Chapter 1), mapping the contemporary landscape (Chapter 2), identifying crucial stakeholder challenges and opportunities (Chapter 3), and offering recommendations for future cooperation (Chapter 4). This report presents an overview of issues in the bibliodata landscape. It is intended to provide a foundation for more detailed reports and case studies on the issues identified in this document.

The actor network is a living document that includes relevant information regarding the DARIAH-FI research infrastructure, such as the activities conducted so far (internal meetings, roadshows), the future of the consortium and details of the different WPs.

Given the dynamic rate of change in the OA books business models landscape, the OPERAS Open Access Business Models Special Interest Group launched a survey in 2021 to 1) improve our understanding of the scholarly publishing landscape and of the challenges that publishers face in the context of publishing OA monographs; and 2) to identify main trends (including opportunities and challenges) and the knowledge of collaborative funding and infrastructure models in OA publishing in Social Science and the Humanities. This white paper updates and expands an earlier version published in 2021, which presented the preliminary analysis of the findings. Despite a small sample of presses meaning that no strong trends ought to be discussed, several insights were drawn and should be considered important directions for the future. Key findings in the report have been grouped into three main areas: collaboration, funding, and support. The report found that, although not opposed to the idea, a majority of presses do not engage in collaboration, specifically collaborative models for shared infrastructure, mainly due to the lack of knowledge and information, or perceived lack of need. This indicates that, for OA books, we are still at the early stage of the adoption curve for collaborative shared infrastructure. In terms of funding, most publishers perceive themselves to be somewhat sustainable. For institutional publishers, parent organisations are crucial as providers of financial or non-monetary support of OA. In addition, most publishers stress the need to have more resources and rely on more than one funding source, including grants and subsidies. The report found that awareness-raising and targeted support and training could be used to engage the presses but further incentivisation may be required to encourage publishers to collaborate more widely. We believe that the insights from this white paper may be interesting to a number of projects, such as DIAMAS, OPERAS-PLUS, and Palomera and have presented areas for further research and more specific actionable points for these projects.

Abstract Digital Image Modelling is becoming a standard approach in epigraphic studies, mostly expressed in the diffusion practice of research groups which want their materials being publicly accessible. However, there is an important lack of works which seek for the use of 3D tools to improve the epigraphic analysis and text reading. Therefore, this paper attempts to show the application of Photogrammetry Structure from Motion and Digital Image Modelling to 3D record and analyse inscriptions that are in poor state of preservation, aiming to resolve some text-restitution problems and contribute towards the definition of new methodologies in Roman epigraphy.

Amphytrion kann nicht wieder zu seiner Gattin Alkmene heimkehren, ehe er den Mord an deren Bürdern gerächt. Boioter, Phoker und Lokrer stehen dem Amphytrion bei diesem Unternehmen zur Seite. Die Phoker werden in dieser Stelle μεγάθυμοι genannt, diese Umschreibung erfahren in der Ilias auch die Abanter (2,541; 4,463-464; vgl. Hes. frg. 204,53 (M.-W.)), sie ist in der Ilias ansonsten jedoch für die Epeier am gebräuchlichsten (vgl. 11,732-733; 743-745 sowie 15,518-519), kommt zudem für die Phthier (13,699), die Kephallener (2,631) und die Aitoler (23,633) vor. In der Odyssee werden die Kaukonen (3,366) auf dieselbe Weise umschrieben. Die Lokrer werden hier als ἀγχέμαχοι (nahekämpfend) charakterisiert, diese Hesiod’sche Darstellung der Kampfesweise der Lokerer steht im Widerspruch zu Hom. Il. 13,713-118, wo diese eindeutig als Fernkämpfer gezeigt werden.

The article presents a method for automatic semantic indexing of archaeological grey‐literature reports using empirical (rule‐based) Information Extraction techniques in combination with domain‐specific knowledge organization systems. The semantic annotation system (OPTIMA) performs the tasks of Named Entity Recognition, Relation Extraction, Negation Detection, and Word‐Sense Disambiguation using hand‐crafted rules and terminological resources for associating contextual abstractions with classes of the standard ontology CIDOC Conceptual Reference Model (CRM) for cultural heritage and its archaeological extension, CRM‐EH.Relation Extraction (RE) performance benefits from a syntactic‐based definition of RE patterns derived from domain oriented corpus analysis. The evaluation also shows clear benefit in the use of assistive natural language processing (NLP) modules relating to Word‐Sense Disambiguation, Negation Detection, and Noun Phrase Validation, together with controlled thesaurus expansion.The semantic indexing results demonstrate the capacity of rule‐based Information Extraction techniques to deliver interoperable semantic abstractions (semantic annotations) with respect to the CIDOC CRM and archaeological thesauri. Major contributions include recognition of relevant entities using shallow parsing NLP techniques driven by a complimentary use of ontological and terminological domain resources and empirical derivation of context‐driven RE rules for the recognition of semantic relationships from phrases of unstructured text.

Interview guide for service developers interviews regarding a research infrastructure for the digital humanities and computational social sciencies.

The DESIR project sets out to strengthen the sustainability of DARIAH and firmly establish it as a long-term leader and partner within arts and humanities communities. The project was designed to address six core infrastructural sustainability dimensions and one of these was dedicated to training and education, which is also one of the four pillars identified in the DARIAH Strategic Plan 2019-2026. In the framework of Work Package 7: Teaching, DESIR organised dedicated workshops in the six DARIAH accession countries (Czech Republic, Finland, Israel, Spain, Switzerland and the United Kingdom) to introduce them to the DARIAH infrastructure and related services, and to develop methodological research skills. The topic of each workshop was decided by accession countries representatives according to the training needs of the national communities of researchers in the (Digital) Humanities. Training topics varied greatly: on the one hand, some workshops had the objective to introduce participants to specific methodological research skills; on the other hand, a different approach was used, and some events focused on the infrastructural role of training and education. The workshops organised in the context of Work Package 7: Teaching are listed below:• CZECH REPUBLIC: “A series of fall tutorials 2019 organized by LINDAT/CLARIAHCZ, tutorial #3 on TEI Training”, November 28, 2019, Prague;• FINLAND: “Reuse & sustainability: Open Science and social sciences and humanities research infrastructures”, 23 October 2019, Helsinki;• ISRAEL: “Introduction to Text Encoding and Digital Editions”, 24 October 2019, Haifa;• SPAIN: “DESIR Workshop: Digital Tools, Shared Data, and Research Dissemination”, 3 July 2019, Madrid;• SWITZERLAND: “Sharing the Experience: Workflows for the Digital Humanities”, 5-6 December 2019, Neuchâtel;• UNITED KINGDOM: “Research Software Engineering for Digital Humanities: Role of Training in Sustaining Expertise”, 9 December, London.

Sharing archaeological data across national borders and between previously unconnected systems is a topic of increasing importance. Infrastructures such as ARIADNE aim to provide services that support sharing of archaeological research data. Ontologies such as the CIDOC CRM are an appropriate instrument to harmonize different data structures and thereby support data exchange. Before integrating data by mapping to ontologies it is crucial to establish where the shared meaning of the data lies and to understand the methodology used to record the data. As the largest proportion of archaeological data are derived from excavations or field investigations the initial focus falls on the documentation of these “raw data”. But documentation often varies depending on country-specific guidelines, different excavation methods and technologies, project management requirements, budget, etc. Therefore an analysis of the different recording forms should prove helpful to identify the common meanings of concepts and terms used in archaeological fieldwork. This paper will show first results of research based on the collection of excavation report forms and manuals from different countries which cover a range of fieldwork methodologies (e.g. single context recording, palaeolithic excavations, etc.). The aim is to analyse and compare the different methodologies, the archaeological concepts involved and the data records, perhaps for the first time on an international level. We want to discuss the challenges of integrating different concepts, terms and vocabularies, often in different languages, and whether problems with integrating such archaeological data could be addressed by additional archaeological extensions to the CIDOC CRM.