146 research outputs found

    The CENDARI White Book of Archives

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    Over the course of its four year project timeline, the CENDARI project has collected archival descriptions and metadata in various formats from a broad range of cultural heritage institutions. These data were drawn together in a single repository and are being stored there. The repository contains curated data which has been manually established by the CENDARI team as well as data acquired from small, ‘hidden’ archives in spreadsheet format or from big aggregators with advanced data exchange tools in place. While the acquisition and curation of heterogeneous data in a single repository presents a technical challenge in itself, the ingestion of data into the CENDARI repository also opens up the possibility to process and index them through data extraction, entity recognition, semantic enhancement and other transformations. In this way the CENDARI project was able to act as a bridge between cultural heritage institutions and historical researchers, insofar as it drew together holdings from a broad range of institutions and enabled the browsing of this heterogeneous content within a single search space. This paper describes a broad range of ways in which the CENDARI project acquired data from cultural heritage institutions as well as the necessary technical background. In exemplifying diverse data creation or acquisition strategies, multiple formats and technical solutions, assets and drawbacks of a repository, this “White Book” aims at providing guidance and advice as well as best practices for archivists and cultural heritage institutions collaborating or planning to collaborate with infrastructure projects. http://www.cendari.eu/thematic- research-guides/white-book-archives The CENDARI White Book of Archives. Available from: http://hdl.handle.net/2262/7568

    Trends in Digital Cultural Heritage Management and Applications

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    We present some recent trends in the field of digital cultural heritage management and applications including digital cultural data curation, interoperability, open linked data publishing, crowd sourcing, visualization, platforms for digital cultural heritage, and applications. We present some examples from research and development projects of MUSIC/TUC in those areas.The Fourth International Conference on Digital Presentation and Preservation of Cultural and Scientific Heritage—DiPP2014 is supported by the Ministry of Education and Science and is under the patronage of UNESCO

    Considerando a questão da interoperabilidade

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    This article concerns the path taken during my scientific research related to the construction and management of digital assets for the design, development, and management of databases, within the scope of the INET-md in Portugal. Its general objective is to facilitate the interoperability, Web dissemination, search, and retrieval of the INET-md's digital collections. This investigation aims to reinforce the alliance between the areas of Information Science and Computer Science. From the Information Science, it brings the applications used for organization, management, and publication of digital assets collections on the Web; and from the Computer Science, it brings syntactic concepts (metadata and protocols) to communicate and exchange data and semantic concepts (ontologies and semantic annotations) to describe data. Both types of concepts can promote interoperability between distinct digital repositories and platforms, providing improvements in information search and retrieval activities.Este artigo diz respeito ao caminho percorrido durante a minha investigação científica relacionada à construção e gestão de ativos digitais para a conceção, desenvolvimento e gestão de bases de dados, no âmbito do INET-md em Portugal. Seu objetivo geral é facilitar a interoperabilidade, disseminação na Web, busca e recuperação das coleções digitais do INET-md. Esta investigação visa reforçar a aliança entre as áreas de Ciência da Informação e Ciência da Computação. Da Ciência da Informação, traz os aplicativos utilizados para organização, gestão e publicação de acervos de ativos digitais na Web; e da Ciência da Computação, traz conceitos sintáticos (metadados e protocolos) para comunicar e trocar dados e conceitos semânticos (ontologias e anotações semânticas) para descrever dados. Ambos os tipos de conceitos podem promover a interoperabilidade entre distintos repositórios e plataformas digitais, proporcionando melhorias nas atividades de busca e recuperação de informações.publishe

    Exploring the Relevance of Europeana Digital Resources: Preliminary Ideas on Europeana Metadata Quality

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    Europeana is a European project aimed to become the modern “Alexandria Digital Library”, as it targets providing access to thousands of resources of European cultural heritage, contributed by more than fifteen hundred institutions such as museums, libraries, archives and cultural centers. This article aims to explore Europeana digital resources as open learning repositories in order to re-use digital resources to improve learning process in the domain of arts and cultural heritage. To carry out this purpose, we present results of metadata quality based on a study case associated to recommendations and suggestions that provide this type of initiatives in our educational context in order to improve the access of digital resources according to a specific knowledge areas

    Toward a Flexible Metadata Pipeline for Fish Specimen Images

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    Flexible metadata pipelines are crucial for supporting the FAIR data principles. Despite this need, researchers seldom report their approaches for identifying metadata standards and protocols that support optimal flexibility. This paper reports on an initiative targeting the development of a flexible metadata pipeline for a collection containing over 300,000 digital fish specimen images, harvested from multiple data repositories and fish collections. The images and their associated metadata are being used for AI-related scientific research involving automated species identification, segmentation and trait extraction. The paper provides contextual background, followed by the presentation of a four-phased approach involving: 1. Assessment of the Problem, 2. Investigation of Solutions, 3. Implementation, and 4. Refinement. The work is part of the NSF Harnessing the Data Revolution, Biology Guided Neural Networks (NSF/HDR-BGNN) project and the HDR Imageomics Institute. An RDF graph prototype pipeline is presented, followed by a discussion of research implications and conclusion summarizing the results.Comment: 12 pages. 5 figures. Presented at the 16th International Conference on Metadata and Semantics Research. To be published in the conference proceedings of Metadata and Semantic Research: 16th International Conference, MTSR 2022, London, United Kingdom, November 8-10, 202

    Measuring metadata quality

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