Challenge to Data-intensive Science: cooperation of metadata database for upper atmospheric research and author ID

Author(s)
First Name: 
Yukinobu
Last Name: 
KOYAMA
Affiliation: 
Kyoto University
First Name: 
Kei
Last Name: 
KURAKAWA
Affiliation: 
National Institute of Informatics
First Name: 
Yuka
Last Name: 
SATO
Affiliation: 
National Institute of Polar Research
First Name: 
Yoshimasa
Last Name: 
TANAKA
Affiliation: 
National Institute of Polar Research
First Name: 
Shuji
Last Name: 
ABE
Affiliation: 
Kyushu University
First Name: 
Tomoaki
Last Name: 
HORI
Affiliation: 
Nagoya University
First Name: 
Norio
Last Name: 
UMEMURA
Affiliation: 
Nagoya University
First Name: 
Atsuki
Last Name: 
SHINBORI
Affiliation: 
Kyoto University
First Name: 
Satoru
Last Name: 
UeNo
Affiliation: 
Kyoto University
First Name: 
Manabu
Last Name: 
YAGI
Affiliation: 
Tohoku University
First Name: 
Akiyo
Last Name: 
YATAGAI
Affiliation: 
Kyoto University
Keywords: 
Data-intensive Science;Geoscience;ORCID;DSpace;IUGONET
Track: 
General conference
Poster
Abstract: 

Science is changing because of the impact of information technology. Experimental, theoretical, and computational science are all being affected by the data deluge, and a fourth, "data-intensive" science paradigm is emerging.
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, magnetome-ters, optical sensors, helioscopes) 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, we built the metadata database for upper atmosphere by using extended DSpace^1. The extended point is to handle the IUGONET common metadata format
which include resource types for dataset and human resources^2 instead of Dublin Core. Thereby,
the researchers can reach distributed observational raw data via metadata [1].
From a viewpoint of data publication, International Council for Science (ICSU) - World Data
System (WDS) members are considering to put Digital Object Identi er (DOI) to dataset by
using registration agency like DataCite. Then ICSU - CODATA's Data Science Journal is consid-
ering to realize data citation. On the other hand, Open Researcher & Contributor ID (ORCID)
launched its registry service on Oct. 2012. Under these situation, we planned to put the both
IDs into above mentioned metadata to create linkage between raw data and data contributor.
As a first step, we put ORCID ID into the metadata.
[1] Koyama et al., "Metadata Database for Upper Atmosphere by using DSpace", OR2012.
^1
http://search.iugonet.org/iugonet/
^2
http://www.iugonet.org/data/schema/iugonet.xsd

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