Construction of the combined system of literature, intermediate data, and data in upper atmospheric research field

Wednesday, 17 December 2014
Yukinobu Koyama1, Masahito Nose1, Toshihiko Iyemori1, Yasuhiro Murayama2, Kei Kurakawa3, Shuji Abe4, Daisuke Ikeda4, Yoshimasa Tanaka5, Norio Umemura6, Atsuki Shinbori7, Satoru Ueno1, Manabu Yagi8 and Yuka Sato5, (1)Kyoto University, Graduate School of Science, Kyoto, Japan, (2)Integrated Science Data System Research Lab., Tokyo, Japan, (3)National Institute of Informatics, Tokyo, Japan, (4)Kyushu University, Fukuoka, Japan, (5)NIPR National Institute of Polar Research, Tokyo, Japan, (6)Nagoya University, Nagoya, Japan, (7)Kyoto University, Kyoto, Japan, (8)Tohoku University, Sendai, Japan
 To investigate the mechanism of long-term variations in the upper atmosphere, we need to create integrated links between a variety of ground-based observations made at various locations from the equator to the poles because what we observe is the result of complicated processes. However, the Japanese observational databases (e.g., by a global network of radars, magnetometers, and optical sensors) have been maintained and made available to the community by each institution that conducted the observations. Then researchers encountered the problem that is difficult to look for various kinds of observational data to clarify the global scale physical phenomena. In order to solve the problem, the Japanese IUGONET project built the metadata database for upper atmosphere to cross-search their databases and integrated analysis tools. It became easy to find data and to derive many data to intermediate data by using above mentioned infrastructure. However, it is still difficult to reproduce the past research from the paper as only key because of lack of supplementary information.

 We introduce our activity to solve above mentioned problem especially about data publication which mints DOI and metadata to dataset by the Japanese local community relevant to upper atmospheric research field. In order to beyond data publication and citation, we describe our challenge to cooperation of literature, data, identifiers, general metadata, domain specific metadata, derivation process, and code.