STEEDS: Spatio-Temporal Environmental and Ecosystem Data Sharing

The Spatio-Temporal Environmental and Ecosystem Data Sharing (STEEDS) project serves the long-tail of scientists analyzing local ecological data by facilitating with minimal effort: 1) the publication of their data using ontologies of their choice, 2) the integration of their data with CO datasets, 3) the analysis of their data through pre-defined community workflows that automatically generate process metadata, and 4) sharing of their results documented with all the metadata and provenance generated by the system.

The activities are focused on enabling aquatic ecoystems scientists to synthesize data in a matter of hours to days rather than months, so they can invest more intellectual capacity and time on interpreting complex ecosystem behavior and therefore be much more adept at seeing cause and effect. They become live witnesses, instead of post-fact detectives, opening the door to proactive prevention of undesirable policies and ecological disasters.

People

Members

Yolanda Gil

Craig Knoblock

Pedro Szekely

Varun Ratnakar

Ewa Deelman

Collaborators

Tom Harmon
UC Merced

Paul Hanson
UW-Madison

Adarda Ztacea
Pacific Ocean

Chris Duffy
Penn State

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Publications

2012

• Organic Data Sharing: A Novel Approach to Scientific Data Sharing. Gil, Y.; Ratnakar, V.; and Hanson, P. 2012. In Second International Workshop on Linked Science: Tackling Big Data (LISC), held in conjunction with the International Semantic Web Conference (ISWC), Boston, MA.

EarthCube Report on a Workflows Roadmap for the Geosciences. Deelman, E.; Duffy, C.; Gil, Y.; Marru, S.; Pierce, M.; and Wiener, G. 2012. National Science Foundation, Arlington, VA.

Automatic Metadata Annotation through Reconstructing Provenance. Groth, P.; Gil, Y.; and Magliacane, S. 2012. In Proceedings of the Third International Workshop on the role of Semantic Web in Provenance Management (SWPM) , Heraklion, Greece.

Scientific Workflows: the Key to Convergence? Mike P. McCann, Andreas F. Hofmann, Thomas C. Harmon, and Yolanda Gil. 2012 Ocean Sciences Meeting, Salt Lake City, Utah, 19-24 February, 2012.

Designing a Roadmap for Geoscience Workflows. Duffy, C.; Gil, Y.; Deelman, E.; Marru, S.; Pierce, M.; Demir, I.; and Wiener, G. 2012. Eos Transactions of the American Geophysical Union, 93(24):.

Designing a Roadmap for Workflow Cyberinfrastructure in the Geosciences: From Big Data to the Long Tail. Yolanda Gil; Ewa Deelman; Ibrahim Demir; Christopher Duffy; Suresh Marru; Marlon E. Pierce; Gerry Wiener. American Geophysical Union Fall Meeting, 2012.

2011

A New Approach for Publishing Workflows: Abstractions, Standards, and Linked Data. Garijo, D., and Gil, Y. 2011. In Proceedings of the Sixth Workshop on Workflows in Support of Large-Scale Science (WORKS'11), held in conjunction with SC 2011, Seattle, Washington.

Mind Your Metadata: Exploiting Semantics for Configuration, Adaptation, and Provenance in Scientific Workflows. Gil, Y.; Szekely, P.; Villamizar, S.; Harmon, T.; Ratnakar, V.; Gupta, S.; Muslea, M.; Silva, F.; and Knoblock, C. 2011. In Proceedings of the Tenth International Semantic Web Conference (ISWC), Bonn, Germany.

Final Report of the 2011 Workshop on Aquatic Ecosystem Sustainability (WAES). Gil, Y., and Harmon, T. 2011. Technical Report ISI-TR-674, Information Sciences Institute, Marina del Rey, CA.

Lowering the Barriers to Integrative Aquatic Ecosystem Science: Semantic Provenance, Open Linked Data, and Workflows. Thomas C. Harmon, Andreas F. Hofmann, Ryan Utz, Ewa Deelman, Paul C Hanson, Pedro Szekely, Sandra Villamizar, Craig Knoblock, Qinghua Guo, Dan Crichton, and Yolanda Gil. American Geophysical Union Fall Meeting, 2011.

Scientific workflows to assess the response of the Californian San Joaquin River to flow restoration efforts. Sandra Villamizar, Yolanda Gil, Pedro Szekely, Varun Ratnakar, Shubham Gupta, Maria Muslea, Fabio Silva, and Thomas Harmon. American Geophysical Union Fall Meeting, 2011.

Relevant Links

Wings

Karma

USC Water Institute