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While remote collaboration is not new in DH, it has had a profound impact on the DH research, education and community in the past couple of years due to the health, security and financial crises. If absorbed appropriately, it can also prove beneficial in overcoming the various environmental, geographical, mobility and other barriers in the future, making DH more resilient, inclusive and diverse. This is why the main objective of the proposed workshop is to develop a better understanding of the dynamics on the Digital Humanities work floor when researchers, teachers and/or professionals with different areas of competence engage in remote collaboration to solve humanities research questions, and to explore how education and training of humanities scholars, cultural heritage professionals and technical experts can help making remote collaboration across disciplines more efficient and effective, more creative and innovative, and more inclusive and rewarding for all participants. To this end, we invite submissions reporting on all aspects and stages of engaging in remote collaborative research and teaching in DH, including the obstacles encountered and solutions found. We are also welcoming position papers on the role of research infrastructures to better facilitate remote collaboration in DH.

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.

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.

Im KONDE-Projekt, das aus Hochschulraumstrukturmitteln finanziert wird, beschäftigten sich sieben universitäre Partner und drei weitere Einrichtungen aus unterschiedlichen Blickwinkeln mit theoretischen und praktischen Aspekten der Digitalen Edition. Ein Outcome des Projektes stellt das Weißbuch dar, welches über 200 Artikel zum Thema Digitale Edition umfasst. Die behandelten Themenkomplexe reichen dabei über Digitale Editionswissenschaft im Allgemeinen, Annotation und Modellierung, Interfaces, Archivierung und Metadaten bis hin zu rechtlichen Aspekten.

International audience

Im KONDE-Projekt, das aus Hochschulraumstrukturmitteln finanziert wird, beschäftigten sich sieben universitäre Partner und drei weitere Einrichtungen aus unterschiedlichen Blickwinkeln mit theoretischen und praktischen Aspekten der Digitalen Edition. Ein Outcome des Projektes stellt das Weißbuch dar, welches über 200 Artikel zum Thema Digitale Edition umfasst. Die behandelten Themenkomplexe reichen dabei über Digitale Editionswissenschaft im Allgemeinen, Annotation und Modellierung, Interfaces, Archivierung und Metadaten bis hin zu rechtlichen Aspekten.

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.

Research infrastructures are facilities, resources and services used by the scientific community to conduct research. They include major research instruments, laboratories, databases, libraries and archival collections. Research infrastructures require digital infrastructure and services for information storage, management, processing, publication and access. In archaeology, data centres and repositories where researchers can deposit and access documentation and data from excavations, field surveys, laboratory analysis, etc. already exist in several European countries. The EU FP7 project ARIADNE (www.ariadneinfrastructure. eu) will set up a common interface to a digital infrastructure integrating archaeological information and datasets held by data centres, institutional and other repositories which are distributed across Europe. This paper addresses the following questions: What is an e-infrastructure for research? How will ARIADNE integrate digital resources on the European level? What are major challenges of the project? Beside the considerable semantic and technical challenges, particularly the need to facilitate a culture of collaboration and data sharing among a multi-disciplinary research community is emphasised.

This report lists and describes a selection of Natural Language Processing (NLP) tools which are considered to form a Corpus-Enrichment and NLP toolchain for common CLS research tasks. The tools were selected to be: • safely positioned in their life cycle, i.e., state-of-the art, and mature as well as continuously maintained, or in development and promised as CLS Infra Deliverables by March 2025 • as multilingual as possible (beyond English and several major European languages) • as interoperable as possible with other tools and texts in other languages.