Data Management and Cyberinfrastructure for Traditional and Local Knowledge and Archaeology in the Arctic
Scientists are realizing the importance of social science research to fully understand how the rapid environmental change in the Arctic will affect human populations living in the Artic and beyond. Millions of dollars are invested in scientific research, including in the social sciences, on the changing Arctic every year, and with that investment, scientists have begun stressing the importance of preserving these collected data for future analysis. With the increased recognition of the importance of social science data, however, numerous challenges and obstacles exist to effectively managing data from the social sciences. Data from the social sciences, for example, frequently take a different form from data from the physical sciences and can be highly dependent on context. This paper will present the various ongoing efforts in cyberinfrastructure for traditional and local knowledge and social sciences (with a focus on archaeology) in the Arctic, including The Exchange for Local Observations and Knowledge of the Arctic (ELOKA, http://eloka-arctic.org). We will also address the challenges of managing data from the social sciences, including maintaining privacy of subjects, preserving context of the data, and ensuring the data are preserved for the future.
SAA 2015 abstracts made available in tDAR courtesy of the Society for American Archaeology and Center for Digital Antiquity Collaborative Program to improve digital data in archaeology. If you are the author of this presentation you may upload your paper, poster, presentation, or associated data (up to 3 files/30MB) for free. Please visit http://www.tdar.org/SAA2015 for instructions and more information.
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Data Management and Cyberinfrastructure for Traditional and Local Knowledge and Archaeology in the Arctic. Colleen Strawhacker, Peter Pulsifer, Shari Gearheard. Presented at The 80th Annual Meeting of the Society for American Archaeology, San Francisco, California. 2015 ( tDAR id: 397173)
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