38 research outputs found

    Survey on researchers requirements and practices towards Cultural Heritage institutions: Documentation and analysis

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    Arts and Humanities research is mainly based on the analysis of " human traces "-such as artefacts, pieces of art, written documents, audio and video recordings, photographs, etc. – that are most of the time preserved by Cultural Heritage Institutions (or CHIs). To preserve, study and promote these objects, an increasing number of heterogeneous digital data is produced by CHIs, but also by Arts and Humanities scholars themselves. For instance, digital Cultural Heritage data include natively digital documents (like qualitative or quantitative datasets, digital photographs, transcriptions, etc.), digitized resources of all kind (such as scanned texts, digitized images or 3D models, etc.), but also attached metadata, annotation or further enrichments. In this regard, access to high quality Cultural Heritage data and metadata is essential to ensure high quality research in Arts and Humanities. Data sharing is indeed a key issue in the future development of Digital Humanities. According to this vision, enabling access to and promoting the reuse of Cultural Heritage data are thus crucial to create new collaboration and new research, facilitate the development of an open publishing environment for Arts and Humanities research, and reinforce the adoption of digital methods and workflows amongst researchers.However, in their relations with CHI, scholars seem always facing the same recurringproblem: « There is no generally valid rule as to how they can quote, duplicate andfurthermore republish in their scholarly work2 ». This situation is clearly a hindrance for bothCHIs and scholars, to develop new research on the one hand, and on the other to gainvisibility. It is now essential to tackle this issue by providing a clear and comprehensiveframework that enables interactions between CHIs and Arts and Humanities scholars

    The SSK. Make your Arts and Humanities research go standard. TEI inside !

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    International audienceGuidelines and tools are easier to understand and use when presented through examples. The SSK provides a variety of standardized resources in a meaningful context, delivered by research use cases : the « scenarios ». FULL TEI TEI is the SSK underlying data model, designed to maximize scenario reuse and customization

    Share - Publish - Store - Preserve. Methodologies, Tools and Challenges for 3D Use in Social Sciences and Humanities

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    Through this White Paper, which gathers contributions from experts of 3D data as well as professionals concerned with the interoperability and sustainability of 3D research data, the PARTHENOS project aims at highlighting some of the current issues they have to face, with possible specific points according to the discipline, and potential practices and methodologies to deal with these issues. During the workshop, several tools to deal with these issues have been introduced and confronted with the participants experiences, this White Paper now intends to go further by also integrating participants feedbacks and suggestions of potential improvements. Therefore, even if the focus is put on specific tools, the main goal is to contribute to the development of standardized good practices related to the sharing, publication, storage and long-term preservation of 3D data

    "Les Experts RDI" : un projet de capitalisation des savoirs pour Michelin

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    Ce projet s’inscrit dans le cadre de l'UE Conduite de projet (INF05) du Master Architecture de l’information de l’ENS de Lyon. Notre Ă©quipe a eu l’opportunitĂ© de rĂ©flĂ©chir Ă  une nouvelle architecture de l’information pour l’entreprise Michelin. Cet article revient sur cette expĂ©rience. La capitalisation du savoir : un enjeu stratĂ©gique pour l’entreprise Le 15 janvier dernier, le manager du service Information Scientifique & Technique (IST) de Michelin, N. Dubuc, et le responsable fonctionnel ..
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