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    Or2013 poster Or2013 poster Document Transcript

    • Challenge to Data-intensive science: cooperation of metadata database for upper atmospheric research and author ID KOYAMA, Y.1, K. KURAKAWA2, Y. SATO3, Y. TANAKA3, S. ABE4, T. HORI5, N. UMEMURA5, A. SHINBORI6, S. UeNo6, M. YAGI7, and A. YATAGAI6 1 WDC for Geomag., Kyoto & Kyoto univ., 2NII, 3NIPR, 4Kyushu univ., 5Nagoya univ., 6Kyoto univ., 7Tohoku univ. Data-intensive Science DataCite Metadata Properties Table 2: DataCite Optional Properties Table 1: DataCite Mandatory Properties ID ID Property 1 Identifier (with type attribute) 6 Subject (with schema attribute) 2 Creator (with name identifier attributes) 7 Contributor (with type and name identifier attributes) 8 Date (with type attribute) 3 Title (with optional type attribute) 9 Language 4 Publisher 10 ResourceType (with description attribute) 5 Publication Year 11 AlternateIdentifier (with type attribute) 12 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. Property RelatedIdentifier (with type and relation type attributes) 13 Size Table 3: DataCite Administrative Properties “All Scientific Data Online” future increase Scientific information Velocity. 1 2 Tony Hey, Stewart Tansley, & Kristin Tolle (Eds.). (2009). The Fourth Paradigm: Data-Intensive Scientific Discovery. Microsoft Research. Retrieved from http://research.microsoft.com/enus/collaboration/fourthparadigm/default.aspx 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. A case study of Data-intensive Science in Upper Atmospheric Research ID Property 14 Format 0.1 LastMetadataUpdate 15 Version 0.2 MetadataVersionNumber 16 Rights 17 Description (with type attribute) •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. Metadata for Upper atmospheric research, DOI, & ORCID ORCID with Role (e.g., PI, Archive Spefialist) DOI DataCite Japan Link Center (JaLC) Characteristics of the upper atmospheric research 1.There are various phenomena over a wide area from the earth surface to the space 2.Many physical parameters need to be observed 3.Various variations including solar cycle, tidal cycle, gravity waves, etc. are overlapped Necessity of a Metadata Database IUGONET provides a new research platform that IUGONET provides a new research platform that enables Metadata for ground-based observation enables Metadata for ground-based observation data to be shared. data to be shared. In addition, IUGONET developed analysis In addition, IUGONET developed analysis software to access and analyze data in an software to access and analyze data in an integrated fashion. integrated fashion. •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”. Conclusion What is Metadata in this field? Metadata are defined as that describe certain information of our data (location, period, Instruments used, data location(URL)). • 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. Open Repositories 2013 July, 8, 2013 – July, 12, 2013 (PEI, Canada)