EconPapers    
Economics at your fingertips  
 

RIKEN MetaDatabase: A Database Platform for Health Care and Life Sciences as a Microcosm of Linked Open Data Cloud

Norio Kobayashi, Satoshi Kume, Kai Lenz and Hiroshi Masuya
Additional contact information
Norio Kobayashi: Advanced Center for Computing and Communication (ACCC), BioResource Center, RIKEN CLST-JEOL Collaboration Center, RIKEN, Japan
Satoshi Kume: RIKEN Center for Life Science Technologies, RIKEN CLST-JEOL Collaboration Center, RIKEN Compass to Healthy Life Research Complex Program, RIKEN, Japan
Kai Lenz: Advanced Center for Computing and Communication (ACCC), RIKEN, Japan
Hiroshi Masuya: BioResource Center, Advanced Center for Computing and Communication (ACCC), RIKEN, Japan

International Journal on Semantic Web and Information Systems (IJSWIS), 2018, vol. 14, issue 1, 140-164

Abstract: Recently, 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.

Date: 2018
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 18/IJSWIS.2018010106 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jswis0:v:14:y:2018:i:1:p:140-164

Access Statistics for this article

International Journal on Semantic Web and Information Systems (IJSWIS) is currently edited by Brij Gupta

More articles in International Journal on Semantic Web and Information Systems (IJSWIS) from IGI Global
Bibliographic data for series maintained by Journal Editor ().

 
Page updated 2025-03-19
Handle: RePEc:igg:jswis0:v:14:y:2018:i:1:p:140-164