iugonet 20120710 poster

1
Metadata Database for Upper Atmosphere by using DSpace Yukinobu KOYAMA *1 , Shuji ABE *2 , Tomoaki HORI *3 , Norio UMEMURA *3 , Hiroo HAYASHI *1 , Yoshimasa TANAKA *4 , Atsuki SHINBORI *1 , Satoru UeNo *1 , Yuka SATO *4 , Manabu YAGI *5 , Akiyo YATAGAI *1 *1 Kyoto Univ., *2 Kyushu Univ, *3 Nagoya Univ., *4 NIPR, *5 Tohoku Univ. The 7th International Conference on Open Repositories Edinburgh, UK July 9th – 13th, 2012 IUGONET provide the analysis software. • Built the Metadata DB for upper atmosphere by using DSpace. • Metadata files in XML is stored as ‘content’ of DSpace. • OpenSearch has been prepared and we implemented the procedure to connect from the data analysis software to the Metadata DB via OpenSearch interface. Conclusion Issues & Solution of upper atmospheric research The integration analysis by using various kinds of observational data is necessity for investigating the mechanism of long-term variations in the upper atmosphere. However, there are no way to cross-search their DBs which are distributed over many research institutes in Japan. For resolving this inconvenience, we build the Metadata DB in order to cross-search their DBs. References [1] SPASE 2.0: a standard data model for space physics, Todd King, James Thieman and D. Aaron Roberts, Earth Science Informatics, 1865-0473 • Metadata which includes location information (e.g., URI) of observational data is sent to the analysis software via OpenSearch. •The analysis software downloads observational data by using the location information. Collaboration by using OpenSearch The OpenSearch interface is opened also to the other applications. Metadata DB We defined the IUGONET common metadata format which is based on the SPASE Data Model [1]. Basically the metadata includes URI of observational data, start & end time of observation, spatial coverage of observation and so forth. Metadata Format & Customization Points Ideally, the metadata DB system which can deal with arbitrary metadata is the best but •default setting of DSpace is for Dublin Core metadata format, •IUGONET Common metadata format has deeper tree structure than Dublin Core metadata format. Exam ple ofthe records in the m etadatafieldregistry table AccessInformation Form at Num eric alData 2 177 SourceU R L Granule 2 147 qualifier element metadata _schem a _id metadata _field_id <Spase> <Num ericalData> <AccessInformation> <Form at/> </AccessInformation> </Num ericalData> </Spase> <Spase> <Granule> <Source> <UR L/> </Source> </G ranule> </Spase> http:// www.iugonet.org/ Customized DSpace-1.7.0 http:// search.iugonet.org/ iugonet/ Combine DBs on metadata level Search of various observational data at 1 query http://search.iugonet.org/ open-search/ (1a) Query (2a) Load (3) Plot (1b) Metadata (2b) Wget (2c) Data Link to the Observational Data Issues: •Observational DBs are distributed. •To find out & collect many kinds of data is difficult. Hurdle of the interdiscipl inary study Global Observation Networks Analysis Soft. Metadata DB Observational DBs Metadata DB Observational Data Therefore we gave up to handle complete shape of our metadata. Then we customized it according to following two rules. 1.Some search targets are chosen from the metadata, and are inserted into “metadatafieldregistry” table. 2.Complete shape of our metadata is stored as ‘content’ of DSpace.

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Page 1: Iugonet 20120710 poster

 

 

Metadata Database for Upper Atmosphere by using DSpace

Yukinobu KOYAMA*1, Shuji ABE*2, Tomoaki HORI*3, Norio UMEMURA*3, Hiroo HAYASHI*1, Yoshimasa TANAKA*4, Atsuki SHINBORI*1, Satoru UeNo*1, Yuka SATO*4, Manabu YAGI*5, Akiyo YATAGAI*1

*1 Kyoto Univ., *2 Kyushu Univ, *3 Nagoya Univ., *4 NIPR, *5 Tohoku Univ.

The 7th International Conference on Open Repositories Edinburgh, UK

July 9th – 13th, 2012

IUGONET provide the analysis software.

• Built the Metadata DB for upper atmosphere by using DSpace.• Metadata files in XML is stored as ‘content’ of DSpace.• OpenSearch has been prepared and we implemented the

procedure to connect from the data analysis software to the Metadata DB via OpenSearch interface.

Conclusion

Issues & Solution of upper atmospheric research

The integration analysis by using various kinds of observational data is necessity for investigating the mechanism of long-term variations in the upper atmosphere. However, there are no way to cross-search their DBs which are distributed over many research institutes in Japan. For resolving this inconvenience, we build the Metadata DB in order to cross-search their DBs.

References[1] SPASE 2.0: a standard data model for space physics, Todd King, James Thieman and D. Aaron Roberts, Earth Science Informatics, 1865-0473

• Metadata which includes location information (e.g., URI) of observational data is sent to the analysis software via OpenSearch.

•The analysis software downloads observational data by using the location information.

Collaboration by using OpenSearch

The OpenSearch interface is opened also to the other applications.

Metadata DB

We defined the IUGONET common metadata format which is based on the SPASE Data Model [1]. Basically the metadata includes URI of observational data, start & end time of observation, spatial coverage of observation and so forth.

Metadata Format & Customization Points

Ideally, the metadata DB system which can deal with arbitrary metadata is the best but

• default setting of DSpace is for Dublin Core metadata format,• IUGONET Common metadata format has deeper tree structure

than Dublin Core metadata format.

Example of the records in the metadatafieldregistry table

AccessInformation

Format

NumericalData

2177

SourceURLGranule2147

qualifierelementmetadata_schema_id

metadata_field_id

<Spase><NumericalData>

<AccessInformation><Format/>

</AccessInformation></NumericalData>

</Spase>

<Spase><Granule>

<Source><URL/>

</Source></Granule>

</Spase>

http://www.iugonet.org/

Customized DSpace-1.7.0

http://search.iugonet.org/iugonet/

Combine DBs on metadata level

Search of various observational data at 1 query

http://search.iugonet.org/open-search/

(1a) Query

(2a) Load

(3) Plot

(1b) Metadata

(2b) Wget

(2c) Data

Link to the Observational Data

Issues:

•Observational DBs are distributed.

•To find out & collect many kinds of data is difficult.

Hurdle of the interdisciplinary study

Global Observation Networks

Analysis Soft.

Metadata DB

Observational DBs

Metadata DB

Observational Data

Therefore we gave up to handle complete shape of our metadata. Then we customized it according to following two rules.

1.Some search targets are chosen from the metadata, and are inserted into “metadatafieldregistry” table.

2.Complete shape of our metadata is stored as ‘content’ of DSpace.