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Challenge to Data-intensive science: cooperation of metadata database
for upper atmospheric research and author IDKOYAMA, Y.1, K. KURAKAWA2, Y. SATO3, Y. TANAKA3, S. ABE4, T. HORI5, N. UMEMURA5, A. SHINBORI6, S. UeNo6, M. YAGI7, and A. YATAGAI6
1WDC for Geomag., Kyoto & Kyoto univ., 2NII, 3NIPR, 4Kyushu univ., 5Nagoya univ., 6Kyoto univ., 7Tohoku univ.
Open Repositories 2013 July, 8, 2013 – July, 12, 2013 (PEI, Canada)
• We defined Upper Atmospheric domain specific XML Schema which connects DOI & ORCID. ( https://gist.github.com/iugonet/e32526c240519e03c112)
• In reuse of dataset & data, not only cooperation of DOI & ORCID, but also domain specific dainty-grained metadata is needed.
A case study of Data-intensive Science in Upper Atmospheric Research
Conclusion
DataCite Metadata Properties
ID Property
1 Identifier (with type attribute)
2 Creator (with name identifier attributes)
3 Title (with optional type attribute)
4 Publisher
5 Publication Year
ID Property
6 Subject (with schema attribute)
7 Contributor (with type and name identifier attributes)
8 Date (with type attribute)
9 Language
10 ResourceType (with description attribute)
11 AlternateIdentifier (with type attribute)
12 RelatedIdentifier (with type and relation type attributes)
13 Size
14 Format
15 Version
16 Rights
17 Description (with type attribute)
ID Property
0.1 LastMetadataUpdate
0.2 MetadataVersionNumber
Table 1: DataCite Mandatory Properties Table 2: DataCite Optional Properties
Table 3: DataCite Administrative Properties
Characteristics of the upper atmospheric research1.There are various phenomena over a wide area from the earth surface to the space2.Many physical parameters need to be observed3.Various variations including solar cycle, tidal cycle, gravity waves, etc. are overlapped
•Sufficient for Data Publication & Citation purpose.
•Insufficient for Scientific reuse purpose.
•No detailed metadata (e.g., Geolocational properties),
•No Role info. of the Contributor.
•Coarse-grained metadata. (The min. unit is dataset)↓
Necessity for domain specific metadata for reuse purpose.
Data-intensive Science
DOI
ORCID
with Role
(e.g., PI, Archive Spefialist)
Metadata for Upper atmospheric research, DOI, & ORCID
DataCiteJapan Link Center (JaLC)
•Sufficient for Scientific reuse purpose.
•Detailed metadata (e.g., Geolocation Info., Calibration Info.),
•Human Resource Info. with Role (e.g., PI, Archive Specialist)
•Dainty-grained metadata. (The min. unit is data file)↓
This monain specific metadata helps reuse dataset & data.Scientist derive from their info. to “Derived and Recombined Data”.
Tony Hey, Stewart Tansley, & Kristin Tolle (Eds.). (2009). The Fourth Paradigm: Data-Intensive Scientific Discovery. Microsoft Research. Retrieved from http://research.microsoft.com/en-us/collaboration/fourthparadigm/default.aspx
Science is changing because of the impact of information technology. Experimental, theoretical & computational science are all being affected by the data deluge, and a fourth, “data-intensive” science paradigm is emerging.
Necessity of a Metadata Database
“All Scientific Data Online” futureincrease Scientific information Velocity.
Construction steps of the left pyramidal structure:1.To construct Data Publication & Citation,2.To construct reuse data framework,3. - More. Some steps are needed.
We considered the cooperation of metadata & identifiers which required for steps 1 & 2.
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IUGONET provides a new research platform that enables Metadata for ground-based observation data to be shared.In addition, IUGONET developed analysis software to access and analyze data in an integrated fashion.
IUGONET provides a new research platform that enables Metadata for ground-based observation data to be shared.In addition, IUGONET developed analysis software to access and analyze data in an integrated fashion.
What is Metadata in this field?Metadata are defined as that describe certain information of our data (location, period, Instruments used, data location(URL)).