Kai Lenz

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Database integration of a wide variety of life-science data is an important issue for comprehensive data analysis. Since Semantic Web technologies, such as Resource Description Framework (RDF), are expected to provide efficient data integration technologies, many life-science databases are published in RDF with SPARQL Protocol and RDF Query Language(More)
To promote data dissemination and integration of life sciences datasets produced by RIKEN, we developed an infrastructure database called " RIKEN MetaDatabase " that enables data publication and integration using the Resource Description Framework. In addition, we implemented a simple workflow for data management and a graphical user interface representing(More)
Linked Open Data (LOD) is a powerful mechanism for linking different datasets published on the Web, which is expected to create new value of data through mash-up over such various datasets. One of the important needs to extract data from LOD is to find a path of resources connecting given two classes, each of which has an end resource of the path. Based on(More)
Life sciences research produces numerous heterogeneous data-sets at a rapid rate, and researchers in this field face serious difficulties in handling and publishing such datasets. These problems occur not only in the life sciences but also within a research institute such as RIKEN, the largest Japanese comprehensive science institute. To address this issue,(More)
We developed RDF-based databases of the phenotypes and animal strains produced in Japan and a portal site termed as " J-Phenome ". By the application of common schema, these databases can be retrieved by the same SPARQL query across graphs. In the operation of these databases, RDF represented multiple advantages such as improvement of comprehensive search,(More)
The Life Science Database Archive (LSDB Archive, https://dbarchive.biosciencedbc.jp/) is a service to collect, preserve and provide databases generated by life-science researchers in Japan. As of September 2015, the LSDB Archive includes 103 databases and all the databases can be downloadable with appropriate licenses and metadata. Although a simple keyword(More)
" Bio-resources " , commonly used biological materials for experimental studies such as mouse strains, cell lines and microbe culture collections are crucial fundamentals to provide reproducibility and reliability of data in life science. To provide advanced infrastructure of life science, wider-dissemination, quality control and standardization of(More)
We introduce a database platform called 'RIKEN Meta Data-base' that provides information on RIKEN's various life-science databases to help researchers around the world make full use of RIKEN's research results. Since RIKEN procures various and large life-sciences datasets through the genomes and phenomes of various species, including datasets for sequence(More)