M Kanao1* and A Kadokura1
*1Polar Environment Data Science Center, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, 10-3, Midori-cho, Tachikawa-shi, Tokyo 190-8518, Japan


The Polar Environmental Data Science Center (PEDSC) has a significant task to archive and deliver the data obtained from polar regions by Japanese related activities. Summary information (metadata) of all the archived data are available to involved polar communities, together with more general interests by public domain. The compiled metadata describe various science research disciplines (space and upper atmospheric sciences, meteorology and glaciology, geosciences and biosciences) from both long- and short-term projects in the Arctic and Antarctic, in which the majority are data from Japanese Antarctic Research Expedition (JARE) (Kanao et al., 2014). These science branch cover almost studies on environmental changes and earth evolution viewed from polar region. Inside the portal server for scientific metadata (, 380 records have been compiled as of July 2017.

Regarding these compiled metadata for all science branches, a sophisticated system that can automatically attribute the Digital Object Identifier (DOI) are recently equipped inside the portal server. The DOIs can be requested to "DataCite (" through a gateway interface provided by "Japan Link Center (JaLC;". The JaLC is Japanese organization authorized as one of the Registration Agency (RA) which can provide the DOIs. Under the adequate evaluation procedures, the metadata and their associated data with enough quality of publication procedure could be attributed by their DOIs with a "prefix" of "10.17592". Under the DOI auto-numbering rule, the "suffix" part of the DOIs (i.e., the character string ordering) is generated arbitrary in a manner defined by the metadata portal. After receiving offers to obtain DOIs from the data providers/managers, quality of individual data can be strictly evaluated by involved "data management committee", followed by attributing their DOIs for those with sufficient revel of quality for opening/publishing the data into public domain. There are several evaluation terms before assignment of the DOIs; regarding data quality, publishing methodology, long-term maintenance strategy, and their data policy, etc.; these evaluation items should be overcome in both the description of the metadata itself and the quality of corresponding actual dataset.

Promoting data citation procedure introduced here could be a model case with an effective framework for long-term strategy of publication and preservation of polar data among global system. Moreover, the approach of data citation conducted by this study could have a potential as socially relevant applications to the public domain, in addition to polar community (Parsons & Fox, 2013; Lawrence et al., 2011).


The authors would like to express their appreciation to many collaborators involving polar data management, in particular to the member of PEDSC, data committee on SCAR, IASC, WDS, CODATA and IPY.


Kanao, M., Okada, M. & Kadokura, A. (2014) Metadata Management at the Polar Data Center of the National Institute of Polar Research, Japan. CODATA Data Science Journal 13, pp PDA27-PDA31. DOI: 10.2481/dsj.IFPDA-05

Lawrence, B., Jones, C., Matthews, B., Pepler, S., & Callaghan, S. (2011) Citation and peer review of data: Moving towards formal data publication. International Journal of Digital Curation. 6(2).

Parsons M.A. & Fox, P.A. (2013) Is Data Publication the Right Metaphor? CODATA Data Science Journal 12, pp WDS32-WDS46.