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...

Full description

Bibliographic Details
Published in:Data Science Journal
Main Authors: Mokrane, M, Parsons, M A
Format: Article in Journal/Newspaper
Language:English
Published: Ubiquity Press 2014
Subjects:
International Polar Year
Data management
Data curation and stewardship
Long-term preservation
Open-access
Data infrastructure
Data ecosystem
Online Access:https://datascience.codata.org/jms/article/view/dsj.IFPDA-15
https://doi.org/10.2481/dsj.IFPDA-15
Description
Summary: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.

Similar Items