IN44A:
BIG Value of Small Data: Realizing the Huge Potential of the Diverse "Long Tail" Communities to Contribute to the Advancement of Science II

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Session ID#: 17048

Session Description:
Small research data (‘Long-tail data’) have a huge potential to contribute to the advancement of science, growing BIG in value: Like pieces of a puzzle that create a picture when put together correctly, small data, when properly curated and aggregated, can reveal large-scale temporal and spatial patterns that lead to major new scientific discoveries. This session intends to highlight success stories how long tail data have been aggregated into ‘BIG’ data collections and lead to new scientific insights, and to draw attention to the technical, organizational, and cultural challenges and solutions of developing and sustainably operating data systems that advanced mining and analysis of small data. We encourage contributions that describe science generated from syntheses of small data; data models and ontologies used to aggregate small data; tools for mining and analyzing small data; solutions for sustainable domain-specific data curation; and approaches to advance a culture of open data sharing.
Primary Convener:  Kerstin Lehnert, Columbia University, Lamont-Doherty Earth Observatory, Palisades, United States
Convener:  Lesley A Wyborn, Australian National University, Canberra, Australia
Chairs:  Kerstin Lehnert, Columbia University, Lamont-Doherty Earth Observatory, Palisades, United States and Lesley A Wyborn, Australian National University, Canberra, Australia
OSPA Liaison:  Lesley A Wyborn, Australian National University, Canberra, Australia
Index Terms:

1904 Community standards [INFORMATICS]
1910 Data assimilation, integration and fusion [INFORMATICS]
1912 Data management, preservation, rescue [INFORMATICS]
1914 Data mining [INFORMATICS]

Abstracts Submitted to this Session:

Transforming Research Data into Resource Data (Invited) (123883)
Cynthia L Chandler1, Adam Shepherd1, Robert C Groman1, Danie Kinkade1, Shannon Rauch2, Molly D Allison1, Nancy J Copley1, Hannah Ake1, Amber York2, Peter H Wiebe1 and David M Glover3, (1)Woods Hole Oceanographic Institution, Woods Hole, MA, United States, (2)Woods Hole Oceanographic Institution, Woods Hole, United States, (3)Woods Hole Oceanographic Institution, Department of Marine Chemistry and Geochemistry, Woods Hole, MA, United States
Aggregating todays data for tomorrows science: a geological use case (Invited) (123405)
Mrs. Helen Glaves, Andrew Kingdon, Martin Nayembil and Garry Baker, British Geological Survey, Nottingham, United Kingdom
The Private Lives of Minerals: Social Network Analysis Applied to Mineralogy and Petrology (163338)
Robert M Hazen1, Shaunna M Morrison2, Peter Arthur Fox3, Joshua J Golden4, Robert T Downs5, Ahmed M Eleish6, Anirudh Prabhu2, Congrui Li3 and Chao Liu1, (1)Carnegie Inst, Washington, DC, United States, (2)Carnegie Institution for Science, Earth and Planets Laboratory, Washington, United States, (3)Rensselaer Polytechnic Institute, Troy, NY, United States, (4)University of Arizona, Tucson, AZ, United States, (5)University of Arizona, Department of Geosciences, Tucson, AZ, United States, (6)Carnegie Inst Washington, Earth and Planets Laboratory, Washington, United States
Creating big data from small: using semantic web technology to facilitate the aggregation of diverse European contaminant data for regulatory assessments (175149)
Alexandra Kokkinaki, Robert Thomas and Roy K Lowry, National Oceanography Center, BODC, Liverpool, United Kingdom
From a single Neutron Monitor to an International Network: the Real-Time Database for High-Resolution Neutron Monitor Measurements (NMDB) (159726)
Christian T Steigies, Christian-Albrechts-Universität zu Kiel, Kiel, Germany and NMDB team
Linking the Long Tail of Data: A Bottoms-up Approach to Connecting Scientific Research (160892)
David K Arctur, University of Texas at Austin, Austin, TX, United States, Bryon Jacob, data.world, Austin, TX, United States and David Arctur and data.world
Progress Towards an Open Data Ecosystem for Australian Geochemistry and Geochronology Data (177772)
Brent McInnes1, Tim Rawling2,3, Warick Brown4, Matthias Liffers4, Lesley A Wyborn5, Adam Brown6 and Simon J D Cox7, (1)Curtin University, John de Laeter Centre, Faculty of Science & Engineering, Perth, WA, Australia, (2)AuScope, University of Melbourne, Melbourne, Australia, (3)AuScope, Melbourne, Australia, (4)Curtin University, John de Laeter Centre, Faculty of Science & Engineering, Perth, Australia, (5)Australian National University, Canberra, Australia, (6)CSIRO Earth Science and Resource Engineering Perth, Perth, WA, Australia, (7)CSIRO, Land and Water, Melbourne, Australia
Data Publication and Interoperability for Long Tail Researchers via the Open Data Repository’s (ODR) Data Publisher. (176555)
Nate Stone1, Barbara Lafuente2, Thomas Bristow3, Richard M Keller4, Robert T Downs5, David Frederick Blake6, Mark Fonda4 and Alex Pires5, (1)Open Data Repository, Gray, United States, (2)University of Arizona, Tucson, AZ, United States, (3)NASA Ames Research Center, Moffett Field, United States, (4)NASA Ames Research Center, Moffett Field, CA, United States, (5)University of Arizona, Department of Geosciences, Tucson, AZ, United States, (6)NASA Ames Research Center, Exobiology Branch, Moffett Field, CA, United States

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