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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Main Authors: M Mokrane, M A Parsons
Format: Article
Language:English
Published: Ubiquity Press 2014-10-01
Series:Data Science Journal
Subjects:
Online Access:http://datascience.codata.org/articles/32
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author M Mokrane
M A Parsons
author_facet M Mokrane
M A Parsons
author_sort M Mokrane
collection DOAJ
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.
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spelling doaj.art-80eb3487b2d34784892d515c2ef7f0492022-12-21T18:46:28ZengUbiquity PressData Science Journal1683-14702014-10-011310.2481/dsj.IFPDA-1532Learning from the International Polar Year to Build the Future of Polar Data ManagementM Mokrane0M A Parsons1ICSU World Data System IPO, c/o NICT, 4-2-1 Nukui-kitamachi, Koganei, 184-8795 Tokyo, JapanRensselaer Polytechnic Institute, 110 8th Street, Troy, NY, 12180, USAThe 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.http://datascience.codata.org/articles/32International Polar YearData managementData curation and stewardshipLong-term preservationOpen-accessData infrastructureData ecosystem
spellingShingle M Mokrane
M A Parsons
Learning from the International Polar Year to Build the Future of Polar Data Management
Data Science Journal
International Polar Year
Data management
Data curation and stewardship
Long-term preservation
Open-access
Data infrastructure
Data ecosystem
title 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_short 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
topic International Polar Year
Data management
Data curation and stewardship
Long-term preservation
Open-access
Data infrastructure
Data ecosystem
url http://datascience.codata.org/articles/32
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