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Sustainable Environment-Actionable Data

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Overview

Awarded through NSF's DataNet program, the Sustainable Environment-Actionable Data (SEAD) project will develop tools and services for active curation and longterm preservation of scientific data, while also engaging researchers through social networking tools. SEAD will enable new modalities of sustainability science -- the study of dynamic interactions between nature and society by advancing the science of sustainability through the integration of social science, natural science, and environmental data.

During the first two years of the project the team will work closely with scientists in sustainable land use, water quality, urban planning and agriculture in the Upper Great Lakes and Mississippi River Basin.

Resources

SEAD Project Website

SEAD Virtual Archive: Thin Layer for Scientific Discovery and Long-Term Preservation
SEAD: An integrated infrastructure to support data stewardship in sustainability science
SEAD: A System to Support Active and Social Data Curation in Sustainability Science Research poster presented by Robert McDonald at the Research Data Access and Preservation (RDAP) Summit 2012.
An Overview of the National Science Foundation DataNet Funded Sustainable Environment-Actionable Data Project This panel will feature partners from the University of Michigan (U-M) based Sustainable Environments-Actionable Data (SEAD) Project, a National Science Foundation (NSF) Sustainable Digital Data Preservation and Access Network Partnership (DataNet, NSF 2009). This presentation will focus on SEAD and its partnership (U-M, Indiana University, University of Illinois, the Interuniversity Consortium for Political and Social Research (ICPSR), and Rensselaer Polytechnic Institute), and the mission of...

Contact

Beth Plale [plale at indiana dot edu]

Project Contributors

  • Katy Borner
  • Kavitha Chandrasekar
  • Stacy Kowalczyk
  • Robert Light
  • Robert McDonald
  • Beth Plale
  • Robert Ping

 

Sponsors, Oct 2011 - present
Related News, Events and Publications:

SEAD Virtual Archive: Thin Layer for Scientific Discovery and Long-Term Preservation
SEAD: An integrated infrastructure to support data stewardship in sustainability science
D2I research accepted to Joint Conference on Digital Libraries (JCDL 2013) D2I and D2I affiliates' research accepted and will be presented at the 2013 Joint Conference on Digital Libraries.
New Legal Mandate in Hand, Data-Sharing Advocates Tackle Cultural Obstacles With its hands-on practical approach, the work of the Research Data Alliance may also help lay the groundwork for agreement on technical standards on an international basis, said Beth A. Plale, a professor of computer science at Indiana University at Bloomington who participated in the founding session this week in Göteborg.
Professor Beth A. Plale co-leads U.S. involvement in new international Research Data Alliance U.S. involvement is led by Rensselaer Polytechnic Institute Computer Science Professor Francine Berman and Professor Beth A. Plale, of the School of Informatics and Computing at Indiana University.
DLP: SEAD Virtual Archive: Thin Layer for Scientific Discovery and Long-Term Preservation

The Digital Library Program Brown Bag Series
SEAD Virtual Archive: Building a Federation of Institutional Repositories for Long-Term Data Preservation in Sustainability Science Paper accepted to 8th International Digital Curation Conference and presented by Stacy Konkiel, Indiana University, for the SEAD project.
SEAD: Preserving Data for Environmental Sciences in Areas of Climate, Land-Use, and Environmental Management Poster and Minute Madness presentation at 8th International Digital Curation Conference by Robert H. McDonald, Indiana University, for the SEAD project.
2012 Fall Seminar Series D2I hosts a series of seminars each semester. Click here for dates, locations, abstracts, bios, slides, archives of talks and general information about the Fall 2012 Seminar Series.
Invited Talk: Big Data meets HPC: Sustainable Environment - Actionable Data Presentation by Beth Plale at the Indo US Workshop on Accelerating Big Data Applications, Dec 2012.