Learning from the International Polar Year to Build the Future of Polar Data Management
The research data landscape of the last International Polar Year was dramatically different from its predecessors. Data scientists documented lessons learned about management of large, diverse, and interdisciplinary datasets to inform future development and practices. Improved, iterative, and adapti...
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ftjdsj:oai:ojs.datascience.codata.org:article/32 2023-05-15T16:53:54+02:00 Learning from the International Polar Year to Build the Future of Polar Data Management Mokrane, M Parsons, M A 2014-10-17 application/pdf https://datascience.codata.org/jms/article/view/dsj.IFPDA-15 https://doi.org/10.2481/dsj.IFPDA-15 eng eng Ubiquity Press https://datascience.codata.org/jms/article/view/dsj.IFPDA-15/32 10.2481/dsj.IFPDA-15 https://datascience.codata.org/jms/article/view/dsj.IFPDA-15 doi:10.2481/dsj.IFPDA-15 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 13 (2014): Special Issue; PDA88-PDA93 1683-1470 International Polar Year Data management Data curation and stewardship Long-term preservation Open-access Data infrastructure Data ecosystem info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2014 ftjdsj https://doi.org/10.2481/dsj.IFPDA-15 2022-04-13T19:17:24Z The research data landscape of the last International Polar Year was dramatically different from its predecessors. Data scientists documented lessons learned about management of large, diverse, and interdisciplinary datasets to inform future development and practices. Improved, iterative, and adaptive data curation and system development methods to address these challenges will be facilitated by building collaborations locally and globally across the ‘data ecosystem’, thus, shaping and sustaining an international data infrastructure to fulfil modern scientific needs and societal expectations. International coordination is necessary to achieve convergence between domain-specific data systems and hence enable multidisciplinary approaches needed to solve the Global Challenges. Article in Journal/Newspaper International Polar Year Data Science Journal Data Science Journal 13 0 88 |
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Open Polar |
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Data Science Journal |
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ftjdsj |
language |
English |
topic |
International Polar Year Data management Data curation and stewardship Long-term preservation Open-access Data infrastructure Data ecosystem |
spellingShingle |
International Polar Year Data management Data curation and stewardship Long-term preservation Open-access Data infrastructure Data ecosystem Mokrane, M Parsons, M A Learning from the International Polar Year to Build the Future of Polar Data Management |
topic_facet |
International Polar Year Data management Data curation and stewardship Long-term preservation Open-access Data infrastructure Data ecosystem |
description |
The research data landscape of the last International Polar Year was dramatically different from its predecessors. Data scientists documented lessons learned about management of large, diverse, and interdisciplinary datasets to inform future development and practices. Improved, iterative, and adaptive data curation and system development methods to address these challenges will be facilitated by building collaborations locally and globally across the ‘data ecosystem’, thus, shaping and sustaining an international data infrastructure to fulfil modern scientific needs and societal expectations. International coordination is necessary to achieve convergence between domain-specific data systems and hence enable multidisciplinary approaches needed to solve the Global Challenges. |
format |
Article in Journal/Newspaper |
author |
Mokrane, M Parsons, M A |
author_facet |
Mokrane, M Parsons, M A |
author_sort |
Mokrane, M |
title |
Learning from the International Polar Year to Build the Future of Polar Data Management |
title_short |
Learning from the International Polar Year to Build the Future of Polar Data Management |
title_full |
Learning from the International Polar Year to Build the Future of Polar Data Management |
title_fullStr |
Learning from the International Polar Year to Build the Future of Polar Data Management |
title_full_unstemmed |
Learning from the International Polar Year to Build the Future of Polar Data Management |
title_sort |
learning from the international polar year to build the future of polar data management |
publisher |
Ubiquity Press |
publishDate |
2014 |
url |
https://datascience.codata.org/jms/article/view/dsj.IFPDA-15 https://doi.org/10.2481/dsj.IFPDA-15 |
genre |
International Polar Year |
genre_facet |
International Polar Year |
op_source |
Data Science Journal; Vol 13 (2014): Special Issue; PDA88-PDA93 1683-1470 |
op_relation |
https://datascience.codata.org/jms/article/view/dsj.IFPDA-15/32 10.2481/dsj.IFPDA-15 https://datascience.codata.org/jms/article/view/dsj.IFPDA-15 doi:10.2481/dsj.IFPDA-15 |
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. |
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CC-BY |
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https://doi.org/10.2481/dsj.IFPDA-15 |
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Data Science Journal |
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13 |
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88 |
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