Arctic Data session at ISAR-5 - Invitation to submit an Abstract (Deadline 31 August)

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Arctic Data session at ISAR-5 - Invitation to submit an Abstract (Deadline 31 August)

Julie Friddell

Organizers and Conveners of the Fifth International Symposium on Arctic Research (ISAR-5) invite you to submit an abstract and register for the Symposium at  The symposium will address “The changing Arctic and its regional to global impact: From information to knowledge and action.”

We invite you to submit an abstract to Session S-9:  Understanding the Changing Arctic through Data: Stewardship, Publication, and Science

Main convener: Peter L. Pulsifer / Co-conveners: Masaki Kanao, Øystein Godøy, Shannon Christoffersen Vossepoel, Hironori Yabuki, Julie Friddell

(session description below)

The full session list can be found at:

The deadline for submission of Abstracts is 31 August 2017.

The deadline for early-bird registration is 15 November 2017;  late registration ends 15 December 2017.  On-site registration is also available during the Symposium (15-18 January 2018, in Tokyo, Japan).

Please feel free to circulate this call to your networks.  Thank you for your consideration!

**Apologies for cross posting

Julie E. Friddell, Ph.D.
Director, Canadian Cryospheric Information Network/Polar Data Catalogue
Department of Geography & Environmental Management
University of Waterloo
200 University Avenue West
Waterloo, Ontario, Canada N2L 3G1
[hidden email]
1-519-888-4567 x 32689

(S9) Understanding the Changing Arctic through Data: Stewardship, Publication, and Science

The ISAR-5 Conference aims to contribute to our understanding of a rapidly changing Arctic. These changes are being observed and experienced at a range of different scales from local to global. Science and other ways of knowing increasingly reveal that these changes are a result of a complex, interconnected physical and sociological system. Atmospheric, cryospheric and ocean drivers are interacting in ways that impact ecosystems, and all of these phenomena are connected to challenges and potential opportunities being faced by humans. Observations are at the foundation of many types of science and Indigenous knowledge, and in the 21st century these observations are typically stored as digital data. These data are transformed and mediated through analysis, visualization or other methods to form different kinds of information that is used to generate knowledge for action.

In recent years, there has been much attention paid to data and the many ways that we collect, store, manage, transform and use data. The Internet, mobile computing, and increases in computing power and storage capacities, are presenting new opportunities for supporting research and sharing knowledge. At the same time, many challenges remain in the areas of data management and use of new technology, such as securing interoperability, disclosure of data, big data treatment, data rescue, etc. In this session we call for papers that share ideas, experiences, and results related to data.
Relevant topics include but are not limited to:
• Advances in data publication and citation, including establishment of new journals and tracking of data usage and decisions (such as scientific, administrative and political) made using data;
• Data rescue;
• Making data from all countries widely available;
• Improving the reusability of data;
• Innovative ways of managing data, including integration of data in Virtual Research Environments;
• Attempts to realization of the interoperability between datasets over the different disciplines;
• The integration of high performance and distributed computing in data analysis;
• Advances with data collection, including technologies simplifying data sharing, utilization, and monitoring carried out at a local scale;
• Modeling socio-ecological systems using new techniques (e.g. agent-based modeling);
• Innovations in data representation methods such as document oriented databases or linked open data;
• Documenting, modeling and benefits using vocabularies and ontologies;
• Working with Big Data.

Papers from the social sciences, Northern communities, and interdisciplinary approaches are strongly encouraged.

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