Descripción
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Understanding plant diseases and their molecular and genetic foundations requires investigation of pathogen-host interaction data. Enabling easy access to these datasets is especially important in plant sciences, where genetic and phenotypic observations have the added complexity of being dispersed over a wide range of plant species compared to the more uni-species nature of biomedicine. Recently, an international initiative interested in scholarly data publishing proposed that all scientific data should be published following the ?FAIR? Principles - Findable, Accessible, Interoperable, and Reusable [1]. This work describes how a significant plant-related database - the Pathogen-Host Interaction Database (PHI-base) [2] - is migrated and transformed such that it conforms to each of the FAIR Principles. Technical and architectural decisions, as well as the migration workflow are discussed in this work. We also examine how multiple FAIR principles can be addressed simultaneously through careful design decisions, and how FAIR data publishing implies more than data reformatting, requiring features beyond those exhibited by typical life science Semantic or Linked Data resources. We explore the value-added by completing this FAIR data transformation, and then test the results through integrative questions that could not easily be asked over conventional Web-based data approaches. Finally, we discuss the benefit of providing access to rich provenance information (subject matter, scope, authorship, etc.) - enhancing your citation rates by promoting transparent scholarly reuse of your data outputs. | |
Internacional
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Si |
Nombre congreso
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Workshop New Frontiers in Plant Biology |
Tipo de participación
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960 |
Lugar del congreso
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Centro de Biotecnología y Genómica de Plantas |
Revisores
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Si |
ISBN o ISSN
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0000-0000 |
DOI
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Fecha inicio congreso
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15/06/2016 |
Fecha fin congreso
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17/06/2016 |
Desde la página
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32 |
Hasta la página
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32 |
Título de las actas
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Publishing FAIR Data: an exemplar methodology utilizing the plant-pathogen knowledge from PHI-base |