Science Metadata Management, Interoperability and Data Citations of the National Institute of Polar Research, Japan

The Polar Data Centre (PDC) of the National Institute of Polar Research (NIPR) has a responsibility to manage polar science data as part of the National Antarctic Data Centre and the Science Committee on Antarctic Research. During the International Polar Year (IPY 2007–2008), a remarkable number of...

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Published in:Data Science Journal
Main Authors: Kanao, M., Okada, M., Friddell, J., Kadokura, A.
Format: Article in Journal/Newspaper
Language:English
Published: Ubiquity Press 2018
Subjects:
DOI
IPY
Online Access:https://datascience.codata.org/jms/article/view/dsj-2018-001
https://doi.org/10.5334/dsj-2018-001
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record_format openpolar
spelling ftjdsj:oai:ojs.datascience.codata.org:article/638 2023-05-15T14:01:49+02:00 Science Metadata Management, Interoperability and Data Citations of the National Institute of Polar Research, Japan Kanao, M. Okada, M. Friddell, J. Kadokura, A. polar region from IGY to present various science research disciplines (space and upper atmospheric sciences, meteorology and glaciology, geosciences and biosciences) 2018-01-24 application/xml application/pdf https://datascience.codata.org/jms/article/view/dsj-2018-001 https://doi.org/10.5334/dsj-2018-001 eng eng Ubiquity Press https://datascience.codata.org/jms/article/view/dsj-2018-001/733 https://datascience.codata.org/jms/article/view/dsj-2018-001/734 10.5334/dsj-2018-001 https://datascience.codata.org/jms/article/view/dsj-2018-001 doi:10.5334/dsj-2018-001 Authors who publish with this journal agree to the following terms:Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work. CC-BY Data Science Journal; Vol 17 (2018); 1 1683-1470 database Polar Data Centre Metadata management Interoperability Data citation DOI info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2018 ftjdsj https://doi.org/10.5334/dsj-2018-001 2022-04-13T19:17:37Z The Polar Data Centre (PDC) of the National Institute of Polar Research (NIPR) has a responsibility to manage polar science data as part of the National Antarctic Data Centre and the Science Committee on Antarctic Research. During the International Polar Year (IPY 2007–2008), a remarkable number of data/metadata involving multi-disciplinary science activities were compiled. Although the long-term stewardship of the accumulation of metadata falls to the data center of NIPR, the work has been in collaboration with the Global Change Master Directory, the Polar Information Commons, the World Data System and other data science bodies/communities under the International Council for Science. In addition, links with other data centers, such as the Data Integration and Analysis System Program of the Global Earth Observation System of Systems and the Polar Data Catalogue of Canada were initiated in 2014 using the Open Archives Initiative Protocol for Metadata Harvesting. The metadata compiled by the PDC were recently modified using an automatic attributing system and DataCite through the Japan Link Center. Article in Journal/Newspaper Antarc* Antarctic International Polar Year IPY National Institute of Polar Research Data Science Journal Antarctic Canada Data Science Journal 17
institution Open Polar
collection Data Science Journal
op_collection_id ftjdsj
language English
topic database
Polar Data Centre
Metadata management
Interoperability
Data citation
DOI
spellingShingle database
Polar Data Centre
Metadata management
Interoperability
Data citation
DOI
Kanao, M.
Okada, M.
Friddell, J.
Kadokura, A.
Science Metadata Management, Interoperability and Data Citations of the National Institute of Polar Research, Japan
topic_facet database
Polar Data Centre
Metadata management
Interoperability
Data citation
DOI
description The Polar Data Centre (PDC) of the National Institute of Polar Research (NIPR) has a responsibility to manage polar science data as part of the National Antarctic Data Centre and the Science Committee on Antarctic Research. During the International Polar Year (IPY 2007–2008), a remarkable number of data/metadata involving multi-disciplinary science activities were compiled. Although the long-term stewardship of the accumulation of metadata falls to the data center of NIPR, the work has been in collaboration with the Global Change Master Directory, the Polar Information Commons, the World Data System and other data science bodies/communities under the International Council for Science. In addition, links with other data centers, such as the Data Integration and Analysis System Program of the Global Earth Observation System of Systems and the Polar Data Catalogue of Canada were initiated in 2014 using the Open Archives Initiative Protocol for Metadata Harvesting. The metadata compiled by the PDC were recently modified using an automatic attributing system and DataCite through the Japan Link Center.
format Article in Journal/Newspaper
author Kanao, M.
Okada, M.
Friddell, J.
Kadokura, A.
author_facet Kanao, M.
Okada, M.
Friddell, J.
Kadokura, A.
author_sort Kanao, M.
title Science Metadata Management, Interoperability and Data Citations of the National Institute of Polar Research, Japan
title_short Science Metadata Management, Interoperability and Data Citations of the National Institute of Polar Research, Japan
title_full Science Metadata Management, Interoperability and Data Citations of the National Institute of Polar Research, Japan
title_fullStr Science Metadata Management, Interoperability and Data Citations of the National Institute of Polar Research, Japan
title_full_unstemmed Science Metadata Management, Interoperability and Data Citations of the National Institute of Polar Research, Japan
title_sort science metadata management, interoperability and data citations of the national institute of polar research, japan
publisher Ubiquity Press
publishDate 2018
url https://datascience.codata.org/jms/article/view/dsj-2018-001
https://doi.org/10.5334/dsj-2018-001
op_coverage polar region
from IGY to present
various science research disciplines (space and upper atmospheric sciences, meteorology and glaciology, geosciences and biosciences)
geographic Antarctic
Canada
geographic_facet Antarctic
Canada
genre Antarc*
Antarctic
International Polar Year
IPY
National Institute of Polar Research
genre_facet Antarc*
Antarctic
International Polar Year
IPY
National Institute of Polar Research
op_source Data Science Journal; Vol 17 (2018); 1
1683-1470
op_relation https://datascience.codata.org/jms/article/view/dsj-2018-001/733
https://datascience.codata.org/jms/article/view/dsj-2018-001/734
10.5334/dsj-2018-001
https://datascience.codata.org/jms/article/view/dsj-2018-001
doi:10.5334/dsj-2018-001
op_rights Authors who publish with this journal agree to the following terms:Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
op_rightsnorm CC-BY
op_doi https://doi.org/10.5334/dsj-2018-001
container_title Data Science Journal
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