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Among the potential intellectual outputs of the ENCODE project is the production of a MOOC that introduces teaching staff and scientific experts to the digital transition in the field of ancient writing cultures. The basis for this MOOC is the need to foster awareness of the importance of digital competences and to use a structured framework to introduce people to the available innovative teaching and learning materials and opportunities for organizing (self-)training in this field of research. For specialists in the humanities, there is often an unexpected reluctance to go beyond simply using digital tools and to deepen their understanding of the implications of the digital transitions of research fields, as well as considering the readiness of young graduates to acquire digital competences. This MOOC, which is easily accessible, affordable, sustainable, and flexible, may achieve the initial aim of the project, namely, bridging the gap between the highly specialized competences in the humanities and the innovative digital skills needed in open science practices. The main methodological issue concerns the design and adaptation of cooperative tools in order to implement a common pedagogical approach and to produce MOOC content that integrates the different competences and insights of the project participants. This report on the experiment provides useful insights into the differing expectations of academic staff as content producers, issues surrounding MOOC-cooperative design between universities in different countries, the usability of the tested platform and of the different features provided, and sustainability, as guaranteed through the connection with digital infrastructures. In the concluding section, the originality of the MOOC at a more general scale is emphasized. The ways in which the MOOC can facilitate and support the digital transition are assessed according to the FAIR principles in Higher Education Institutions. Moreover, the MOOC offers models for hands-on experiences of digital training and the evaluation of learning outcomes according to shared European frameworks; it demonstrates the importance of being connected with larger projects and digital infrastructures. ispartof: Education Sciences vol:13 issue:43 pages:1-12 status: Published online

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; The digital text platform is part of the Flemish contribution to DARIAH Belgium (DARIAH = Digital Research Infrastructure for the Arts and Humanities). The goal is to create a platform for the collaborative management and discovery of digitised textual collections that allows digital humanities researchers to prepare their corpora (consisting of, for example, digitised newspapers and books) for textual analysis. The platform will enable researchers to browse and search the digitised collections compiled, cleaned, enriched and managed by the researchers themselves. Once the relevant research sub-corpus has been compiled, data export tools, using standardised open formats (such as XML, JSON, .csv, .txt, etc.) will enable researchers to export sub-corpus for analysis with existing digital text analysis tools such as MALLET, (http://mallet.cs.umass.edu/topics.php) for topic modelling, VOYANT (http://voyant-tools.org) for data visualisation or AntConC (http://www.laurenceanthony.net/software/antconc/) for concordance and textual analysis.The platform has been conceived as part of a larger and modular virtual research environment service infrastructure (http://www.ghentcdh.ugent.be/projects/dariah-vl_vre.si). In a previous phase, possible frameworks and content management systems were tested, notably Islandora (a digital asset management system based on Fedora Commons and Drupal), but also Mediawiki and Omeka.One of the main challenges of the envisaged new platform is the possibility to integrate a wider variety of possible textual data streams (including a scan workflow). In addition, user-friendliness, scalability, adherence to standards and facilitating the interoperability of data are key issues to be addressed. The platform will build on the existing IIIF format, the International Image Interoperability Framework. This format is used by some of the most important libraries and cultural heritage institutions in the world, therefore providing access to enormous collections of digital objects. As the name suggests, IIIF is mainly focused on displaying and annotating images. However, we fully endorse the IIIF-community’s vision to develop an overarching interoperability framework for other data types, including all kinds of textual data. Benefits of the format include the interoperability, the ease of sharing images and annotations without the need to exchange files, and its support for multilingual data. In the months leading up to the conference, we will evaluate the existing IIIFpowered digital libraries and research projects and how they deal with practices of co-creation, data cleaning and enrichment of (structural) metadata. OCR improvement will become vital, as digital textual analysis can only be performed well on high-quality textual data. A related challenge will be combining the various input formats and converting them to different output formats required for analysis. In our poster, we will present a summary of our experiences with and technical assessment of our previous Islandora installation, in addition to our survey of the existing corpus management solutions. As a way of conclusion, we will introduce the envisioned new version of the platform.

This article shows that metadata plays a central role in our society and concludes that through collaborative work, it is possible to pool solutions and to establish relationships of cooperation, both at the level of practical tool development and with regard to sharing and creating knowledge and know-how. ispartof: ABB: Archives et Bibliothèques de Belgique - Archief- en Bibliotheekwezen in België vol:106 pages:135-144 status: published

More and more cultural institutions use Linked Data principles to share and connect their collection metadata. In the archival field, initiatives emerge to exploit data contained in archival descriptions and adapt encoding standards to the semantic web. In this context, online authority files can be used to enrich metadata. However, relying on a decentralized network of knowledge bases such as Wikidata, DBpedia or even Viaf has its own difficulties. This paper aims to offer a critical view of these linked authority files by adopting a close-reading approach. Through a practical case study, we intend to identify and illustrate the possibilities and limits of RDF triples compared to institutions' less structured metadata. Comment: Workshop "Dariah "Trust and Understanding: the value of metadata in a digitally joined-up world" (14/05/2018, Brussels), preprint of the submission to the journal "Archives et Biblioth\`eques de Belgique"

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.

Contemporary researchers are beginning to explore the possibilities and opportunities of digital humanities, but encounter major obstacles regarding (meta)data1. Many archival institutions lack the technology or the skills to process (meta)data, let alone share it. Different types of standards coexist and sometimes conflict with each other, while implementing the same standards often leads to slight differences which decrease interoperability. Storing, securing and making born-digital or digitized information available in a sustainable manner is a major challenge. Concepts such as metadata, Meta Information, Linked Open Data (LOD), Big Data… are on the rise, but their meaning and content — let alone their implications in terms of social impact — are seldom questioned. Archival institutions thus face a myriad of challenges when sharing (meta)data with the scientific community and when planning to preserve information for future generations while maintaining data authenticity2 . ispartof: Archief- en Bibliotheekwezen in België vol:106 pages:5-13 status: published

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.