HumanISE - Indexed Articles in Conferences

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Browsing HumanISE - Indexed Articles in Conferences by Author "5961"
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    Creating lightweight ontologies for dataset description practical applications in a cross-domain research data management workflow
    ( 2014) João Aguiar Castro ; João Rocha Silva ; Cristina Ribeiro ; 215 ; 5820 ; 5961
    The description of data is a central task in research data management. Describing datasets requires deep knowledge of both the data and the data creation process to ensure adequate capture of their meaning and context. Metadata schemas are usually followed in resource description to enforce comprehensiveness and interoperability, but they can be hard to understand and adopt by researchers. We propose to address data description using ontologies, which can evolve easily, express semantics at different granularity levels and be directly used in system development. Considering that existing ontologies are often hard to use in a crossdomain research data management environment, we present an approach for creating lightweight ontologies to describe research data. We illustrate our process with two ontologies, and then use them as configuration parameters for Dendro, a software platform for research data management currently being developed at the University of Porto.
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    Research data management in the field of Ecology: An overview
    ( 2018) Alves,C ; João Aguiar Castro ; Cristina Ribeiro ; Honrado,JP ; Lomba,A ; 215 ; 5961
    The diversity of research topics and resulting datasets in the field of Ecology (the scientific study of ecological systems and their biodiversity) has grown in parallel with developments in research data management. Based on a meta-analysis performed on 93 scientific references, this paper presents a comprehensive overview of the use of metadata tools in the Ecology domain through time. Overall, 40 metadata tools were found to be either referred or used by the research community from 1997 to 2018. In the same period, 50 different initiatives in ecology and biodiversity research were conceptualized and implemented to promote effective data sharing in the community. A relevant concern that stems from this analysis is the need to establish simple methods to promote data interoperability and reuse, so far limited by the production of metadata according to different standards. With this study, we also highlight challenges and perspectives in research data management in the domain of Ecology towards best practice guidelines.