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72 Research products, page 1 of 8

  • Publications
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  • 2012-2021
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  • Hyper Article en Ligne - Sciences de l'Homme et de la Société
  • DARIAH EU
  • Digital Humanities and Cultural Heritage

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  • Open Access English
    Authors: 
    Maryl, Maciej; Błaszczyńska, Marta; Zalotyńska, Agnieszka; Taylor, Laurence; Avanço, Karla; Balula, Ana; Buchner, Anna; Caliman, Lorena; Clivaz, Claire; Costa, Carlos; +21 more
    Publisher: HAL CCSD
    Countries: France, Croatia, Croatia
    Project: EC | OPERAS-P (871069), EC | OPERAS-P (871069)

    This report discusses the scholarly communication issues in Social Sciences and Humanities that are relevant to the future development and functioning of OPERAS. The outcomes collected here can be divided into two groups of innovations regarding 1) the operation of OPERAS, and 2) its activities. The “operational” issues include the ways in which an innovative research infrastructure should be governed (Chapter 1) as well as the business models for open access publications in Social Sciences and Humanities (Chapter 2). The other group of issues is dedicated to strategic areas where OPERAS and its services may play an instrumental role in providing, enabling, or unlocking innovation: FAIR data (Chapter 3), bibliodiversity and multilingualism in scholarly communication (Chapter 4), the future of scholarly writing (Chapter 5), and quality assessment (Chapter 6). Each chapter provides an overview of the main findings and challenges with emphasis on recommendations for OPERAS and other stakeholders like e-infrastructures, publishers, SSH researchers, research performing organisations, policy makers, and funders. Links to data and further publications stemming from work concerning particular tasks are located at the end of each chapter.

  • Open Access English
    Authors: 
    Clivaz, Claire; Allen, Garrick,;
    Publisher: HAL CCSD
    Country: France

    Ancient Manuscripts and Virtual Research Environments Lausanne, 10–11 September 2020 - Conference report

  • Open Access English
    Authors: 
    Stefan Buddenbohm; Maaike A. de Jong; Jean-Luc Minel; Yoann Moranville;
    Publisher: HAL CCSD
    Country: France
    Project: EC | HaS-DARIAH (675570)

    AbstractHow can researchers identify suitable research data repositories for the deposit of their research data? Which repository matches best the technical and legal requirements of a specific research project? For this end and with a humanities perspective the Data Deposit Recommendation Service (DDRS) has been developed as a prototype. It not only serves as a functional service for selecting humanities research data repositories but it is particularly a technical demonstrator illustrating the potential of re-using an already existing infrastructure - in this case re3data - and the feasibility to set up this kind of service for other research disciplines. The documentation and the code of this project can be found in the DARIAH GitHub repository: https://dariah-eric.github.io/ddrs/.

  • English
    Authors: 
    Edmond, Jennifer; Basaraba, Nicole; Doran, Michelle; Garnett, Vicky; Grile, Courtney Helen; Papaki, Eliza; Tóth-Czifra, Erzsébet;
    Publisher: HAL CCSD
    Country: France
  • English
    Authors: 
    Khemakhem, Mohamed;
    Publisher: HAL CCSD
    Country: France
    Project: EC | PARTHENOS (654119), ANR | BASNUM (ANR-18-CE38-0003)

    Dictionaries could be considered as the most comprehensive reservoir of human knowledge, which carry not only the lexical description of words in one or more languages, but also the common awareness of a certain communityabout every known piece of knowledge in a time frame. Print dictionaries are the principle resources which enable the documentation and transfer of such knowledge. They already exist in abundant numbers, while new onesare continuously compiled, even with the recent strong move to digital resources.However, a majority of these dictionaries, even when available digitally, is still not fully structured due to the absence of scalable methods and techniques that can cover the variety of corresponding material. Moreover, the relatively few existing structured resources present limited exchange and query alternatives, given the discrepancy of their data models and formats.In this thesis we address the task of parsing lexical information in print dictionaries through the design of computer models that enable their automatic structuring. Solving this task goes hand in hand with finding a standardised output for these models to guarantee a maximum interoperability among resources and usability for downstream tasks.First, we present different classifications of the dictionaric resources to delimit the category of print dictionaries we aim to process. Second, we introduce the parsing task by providing an overview of the processing challengesand a study of the state of the art. Then, we present a novel approach based on a top-down parsing of the lexical information. We also outline the archiecture of the resulting system, called GROBID-Dictionaries, and the methodology we followed to close the gap between the conception of the system and its applicability to real-world scenarios.After that, we draw the landscape of the leading standards for structured lexical resources. In addition, we provide an analysis of two ongoing initiatives, TEI-Lex-0 and LMF, that aim at the unification of modelling the lexical information in print and electronic dictionaries. Based on that, we present a serialisation format that is inline with the schemes of the two standardisation initiatives and fits the approach implemented in our parsing system.After presenting the parsing and standardised serialisation facets of our lexical models, we provide an empirical study of their performance and behaviour. The investigation is based on a specific machine learning setup andseries of experiments carried out with a selected pool of varied dictionaries.We try in this study to present different ways for feature engineering and exhibit the strength and the limits of the best resulting models. We also dedicate two series of experiments for exploring the scalability of our models with regard to the processed documents and the employed machine learning technique.Finally, we sum up this thesis by presenting the major conclusions and opening new perspectives for extending our investigations in a number of research directions for parsing entry-based documents.; Les dictionnaires peuvent être considérés comme le réservoir le plus compréhensible de connaissances humaines, qui contiennent non seulement la description lexicale des mots dans une ou plusieurs langues, mais aussi la conscience commune d’une certaine communauté sur chaque élément de connaissance connu dans une période de temps donnée. Les dictionnaires imprimés sont les principales ressources qui permettent la documentation et le transfert de ces connaissances. Ils existent déjà en grand nombre, et de nouveaux dictionnaires sont continuellement compilés.Cependant, la majorité de ces dictionnaires dans leur version numérique n’est toujours pas structurée en raison de l’absence de méthodes et de techniques évolutives pouvant couvrir le nombre du matériel croissant et sa variété. En outre, les ressources structurées existantes, relativement peu nombreuses, présentent des alternatives d’échange et de recherche limitées, en raison d’un sérieux manque de synchronisation entre leurs schémas de structure.Dans cette thèse, nous abordons la tâche d’analyse des informations lexicales dans les dictionnaires imprimés en construisant des modèles qui permettent leur structuration automatique. La résolution de cette tâche va depair avec la recherche d’une sortie standardisée de ces modèles afin de garantir une interopérabilité maximale entre les ressources et une facilité d’utilisation pour les tâches en aval.Nous commençons par présenter différentes classifications des ressources dictionnaires pour délimiter les catégories des dictionnaires imprimés sur lesquelles ce travail se focalise. Ensuite, nous définissions la tâche d’analyse en fournissant un aperçu des défis de traitement et une étude de l’état de l’art.Nous présentons par la suite une nouvelle approche basée sur une analyse en cascade de l’information lexicale. Nous décrivons également l’architecture du système résultant, appelé GROBID-Dictionaries, et la méthodologie quenous avons suivie pour rapprocher la conception du système de son applicabilité aux scénarios du monde réel.Ensuite, nous prestons des normes clés pour les ressources lexicales structurées. En outre, nous fournissons une analyse de deux initiatives en cours, TEI-Lex-0 et LMF, qui visent à unifier la modélisation de l’information lexicale dans les dictionnaires imprimés et électroniques. Sur cette base, nous présentons un format de sérialisation conforme aux schémas des deux initiatives de normalisation et qui est assorti à l’approche développée dans notresystème d’analyse lexicale.Après avoir présenté les facettes d’analyse et de sérialisation normalisées de nos modèles lexicaux, nous fournissons une étude empirique de leurs performances et de leurs comportements. L’étude est basée sur une configuration spécifique d’apprentissage automatique et sur une série d’expériences menées avec un ensemble sélectionné de dictionnaires variés. Dans cette étude, nous essayons de présenter différentes manières d’ingénierie des caractéristiques et de montrer les points forts et les limites des meilleurs modèles résultants. Nous consacrons également deux séries d’expériences pour explorer l’extensibilité de nos modèles en ce qui concerne les documents traités et la technique d’apprentissage automatique employée.Enfin, nous clôturons cette thèse en présentant les principales conclusions et en ouvrant de nouvelles perspectives pour l’extension de nos investigations dans un certain nombre de directions de recherche pour l’analyse des documents structurés en un ensemble d’entrées.

  • Publication . Report . 2020
    English
    Authors: 
    Bertrand, Loïc; Anglos, Demetrios; Castillejo, Marta; Charbonnel, Bénédicte; David, Sophie; de Clercq, Hilde; Dubray, Fanny; Spring, Marika;
    Publisher: HAL CCSD
    Country: France
    Project: EC | E-RIHS PP (739503)

    The study and preservation of tangible cultural and natural heritage is a global challenge for science and society at large. The European Research Infrastructure for Heritage Science (E-RIHS) will play a leading role in research on the interpretation, preservation, documentation and management of heritage. As an interdisciplinary infrastructure, E-RIHS will interconnect knowledge and methodologies to address key scientific questions in the field of heritage as a whole. The infrastructure is built on ten core pillars. It will provide a structured and unified input of large-scale instruments, portable devices, physical and digital archives. Its implementation will focus on scientific excellence, interdisciplinarity and cooperation. In doing so, it will offer unprecedented research opportunities to a wide range of interdisciplinary scientific communities.

  • English
    Authors: 
    Blandine Nouvel; Evelyne Sinigaglia; Véronique Humbert;
    Publisher: HAL CCSD
    Country: France

    International audience; The aim of the talk is to present the methodology used to reorganise the PACTOLS thesaurus of Frantiq, launched within the framework of the MASA consortium. PACTOLS is a multilingual and open repository about archaeology from Prehistory to the present and for Classics. It is organized into six micro-thesaurus at the root of its name (Peuples, Anthroponymes,Chronologie, Toponymes, Oeuvres, Lieux, Sujets). The goal is to turn it into a tool interoperable with information systems beyond its original documentary purpose, and usable by archaeologists as a repository for managing scientific data. During the talk, we will describe the choice of tools, the organisation of work within the steering group and the collaborations with specialists for the upgrading and development of the vocabulary while showing the strengths and limitations of some experiments. Above allit will show how the introduction of the conceptual categories of the BackBone Thesaurus of DARIAH, modelled on the CIDOC-CRM ontology, through a progressive deconstruction/reconstruction process, eventually had an impact on all micro thesauri and questioned the organisation of knowledge so far proposed.

  • English
    Authors: 
    Wissik, Tanja; Edmond, Jennifer; Fischer, Frank; de Jong, Franciska; Scagliola, Stefania; Scharnhorst, Andrea; Schmeer, Hendrik; Scholger, Walter; Wessels, Leon;
    Publisher: HAL CCSD
    Country: France
    Project: EC | PARTHENOS (654119), EC | CLARIN-PLUS (676529)

    The digital humanities (DH) enrich the traditional fields of the humanities with new practices, approaches and methods. Since the turn of the millennium, the necessary skills to realise these new possibilities have been taught in summer schools, workshops and other alternative formats. In the meantime, a growing number of Bachelor's and Master's programmes in digital humanities have been launched worldwide. The DH Course Registry, which is the focus of this article, was created to provide an overview of the growing range of courses on offer worldwide. Its mission is to gather the rich offerings of different courses and to provide an up-to-date picture of the teaching and training opportunities in the field of DH. The article provides a general introduction to this emerging area of research and introduces the two European infrastructures CLARIN and DARIAH, which jointly operate the DH Course Registry. A short history of the Registry is accompanied by a description of the data model and the data curation workflow. Current data, available through the API of the Registry, is evaluated to quantitatively map the international landscape of DH teaching.Preprint of a publication for LibraryTribune (China) (accepted)

  • English
    Authors: 
    Tóth-Czifra, Erzsébet; Romary, Laurent;
    Publisher: HAL CCSD
    Country: France

    There is a growing need to establish domain-or discipline-specific approaches to research data sharing workflows. A defining feature of data and data workflows in the arts and humanities domain is their dependence on cultural heritage sources hosted and curated in museums, libraries, galleries and archives. A major difficulty when scholars interact with heritage data is that the nature of the cooperation between researchers and Cultural Heritage Institutions (henceforth CHIs) is often constrained by structural and legal challenges but even more by uncertainties as to the expectations of both parties. The Heritage Data Reuse Charter aims to address these by designing a common environment that will enable all the relevant actors to work together to connect and improve access to heritage data and make transactions related to the scholarly use of cultural heritage data more visible and transparent. As a first step, a wide range of stakeholders on the Cultural Heritage and research sector agreed upon a set of generic principles, summarized in the Mission Statement of the Charter, that can serve as a baseline governing the interactions between CHIs, researchers and data centres. This was followed by a long and thorough validation process related to these principles through surveys 1 and workshops 2. As a second step, we now put forward a questionnaire template tool that helps researchers and CHIs to translate the 6 core principles into specific research project settings. It contains questions about access to data, provenance information, preferred citation standards, hosting responsibilities etc. on the basis of which the parties can arrive at mutual reuse agreements that could serve as a starting point for a FAIR-by-construction data management, right from the project planning/application phase. The questionnaire template and the resulting mutual agreements can be flexibly applied to projects of different scale and in platform-independent ways. Institutions can embed them into their own exchange protocols while researchers can add them to their Data Management Plans. As such, they can show evidence for responsible and fair conduct of cultural heritage data, and fair (but also FAIR) research data management practices that are based on partnership with the holding institution.

  • Publication . Report . 2019
    English
    Authors: 
    da Silva, Filipe Guimarães; Jorge, Maria do Rosário; Castaño, Inês; Fernandes, João; Raciti, Marco;
    Publisher: HAL CCSD
    Country: France
    Project: EC | DESIR (731081)

    The DESIR Winter School "Shaping new approaches to data management in arts and humanities" took place in Lisbon on 10-13 December 2019. The event was hosted by NOVA FCSH University facilities and was organised in the framework of the Horizon 2020 funded project DESIR (DARIAH ERIC Sustainability Refined). It aimed at gathering PhD students, arts and humanities scholars from all career stages and research managers interested in the issues raised by sustainable practices to open up data in the arts and humanities. The event was a joint organisation between DARIAH and NOVA FCSH. As such, it brought together the collaboration of national and European experts in the data management field.Sharing knowledge, research outputs and other scholarly resources in ways that are tuned for long-term availability and maximal use and reuse are recognized as essential practices but also key challenges for arts and humanities research. In the last couple of years, this need has also been recognized in a strong political drive in the European Union giving rise to support structures but also policy imperatives for research data management. As a result, Research data management emerged to be a new field of expertise to explore and establish in all range of disciplines.The fact that the concept of data in the arts and humanities domain is far from being a straightforward one adds further complexities to the implementation of such policies in the arts and humanities domain. To meaningfully address the real data needs of the diverse communities of arts and humanities scholars in terms of skills, infrastructure and best practices, we need to keep a reflexive and open exchange about the function of data inspecific research questions and fields of enquiry.The DESIR Winter School provided a unique opportunity for arts and humanities scholars as well as for librarians and research managers to learn about how to maximize the potential of their scholarly resources and to take practical steps in opening up their research in ethically and legally responsible ways. To this end, the DESIR Winter School covered a wide selection of topics ranging from the optimal implementation of FAIR data in the arts and humanities, issues around ethics, Intellectual Property Rights and licensing, data and software citation practices, open research notebooks and innovative publishing practices in the arts and humanities.The main goals of the Winter School were to:• Introduce scientific and academic communities in the arts and humanities to the principles and practices of responsible research and Open Science;• Strengthen the skills of the arts and humanities communities in research data management, curation, sharing, preservation and reuse;• Enable R&D and Higher Education institutions to develop research data strategies and policies;• Foster national and international collaboration amongst the diverse research communities in the arts and humanities;• Introduce participants to innovative publishing practices in the arts and humanities, such as data journals, overlay journals etc.

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