RIKEN MetaDatabase: A Database Platform for Health Care and Life Sciences as a Microcosm of Linked Open Data Cloud
Periodicals(2018)
Abstract
AbstractRecently, the number and heterogeneity of life science datasets published on the Web have increased significantly. However, biomedical scientists face numerous serious difficulties finding, using and publishing useful databases. To address these issues, the authors developed a Resource Description Framework-based database platform, called the RIKEN MetaDatabase http://metadb.riken.jp, that allows biologists to develop, publish and integrate multiple databases easily. The platform manages the metadata of both research and individual data described using standardised vocabularies and ontologies, and has a simple browser-based graphical user interface to view data including tabular and graphical forms. The platform was released in April 2015, and 113 databases, including mammalian, plant, bioresource and image databases, with 26 ontologies have been published using this platform as of January 2017. This paper describes the technical knowledge obtained through the development and operation of the RIKEN MetaDatabase to accelerate life science data distribution.
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Key words
Bioresource, Database Cloud Platform, Database Integration, Electron Microscopy Imaging Database, Imaging Data Integration, Life Sciences, Linked Open Data (LOD), Ontology, Open Microscopy Environment (OME), Phenotype, Resource Description Framework (RDF), Semantic Web, Web Ontology Language (OWL)
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