Skip directly to content

Minimize RSR Award Detail

Research Spending & Results

Award Detail

Awardee:REGENTS OF THE UNIVERSITY OF MICHIGAN
Doing Business As Name:University of Michigan Ann Arbor
PD/PI:
  • Andrea Thomer
  • (734) 763-2285
  • athomer@umich.edu
Award Date:09/23/2019
Estimated Total Award Amount: $ 122,016
Funds Obligated to Date: $ 122,016
  • FY 2019=$122,016
Start Date:09/15/2019
End Date:08/31/2022
Transaction Type:Grant
Agency:NSF
Awarding Agency Code:4900
Funding Agency Code:4900
CFDA Number:47.050
Primary Program Source:040100 NSF RESEARCH & RELATED ACTIVIT
Award Title or Description:EarthCube Data Capabilities: Collaborative Proposal: Reducing Time-To-Science in the Earth Sciences: Annotations to foster convergence, inclusion, and credit
Federal Award ID Number:1928317
DUNS ID:073133571
Parent DUNS ID:073133571
Program:EarthCube
Program Officer:
  • Eva Zanzerkia
  • (703) 292-4734
  • ezanzerk@nsf.gov

Awardee Location

Street:3003 South State St. Room 1062
City:Ann Arbor
State:MI
ZIP:48109-1274
County:Ann Arbor
Country:US
Awardee Cong. District:12

Primary Place of Performance

Organization Name:University of Michigan Ann Arbor
Street:105 South State Street
City:Ann Arbor
State:MI
ZIP:48109-1285
County:Ann Arbor
Country:US
Cong. District:12

Abstract at Time of Award

The long term sustainability of federally funded research depends on the discovery, accessibility and reuse of data. However, data and research products are often stored in different locations. This makes it challenging to find and integrate related data. This project helps support the discovery of related but distributed research products for Earth science and natural history data. Researches will have a way to link data resources, add context, or provide additional information about data, software and publications. Researchers use this system to create annotations that link resources using unique identifiers. Over time, these links connect to create a network of data resources. This project will support the development of the underlying database, a user interface for access and discovery, and a number of documentation tools and workshops to help support the ongoing development and sustainability of the Throughput database.The broader impacts of this project include the engagement of early career researchers and the better sharing of data and other research products in the Earth sciences. Improved discoverability of data, metadata and services is a need shared across the geosciences. A barrier that increases "time-to-science" in Earth Science research is the difficulty of integrating individual observations, concepts, data models, and statistical techniques across subfields. The Throughput Annotation Engine (TAE) offers a solution to the challenge of managing interdisciplinary workflows by providing multiple points of entry to access, annotate and interact with data, and to link code, data, publications, or other elements to one another. The TAE will support adoption as part of a system of systems, linking outside users to data repositories, and providing data stewards a degree of flexibility in deciding how to manage new information: whether to incorporate information in annotations into their data models, or to access and report annotations using the Throughput API. Throughput improves credit for data, software and documentation by providing a mechanism to track use and implementation across a range of publications and online resources, and will provide a new set of citation tools based on FORCE11 recommendations. Linked annotations in the TAE support the generation of metrics for research infrastructure beyond standard publication metrics. The Cookbook will allow individuals and communities to identify programmatic workflows, and link them to community data resources. The Cookbook will provide researchers with access to community best-practices, and, by leveraging ORCID user credentials, to individuals engaged in the development of documentation and workflows. Throughput offers a user-centered solution to deepening and densifying connections among the many nodes in the emerging linked data ecosystem of scientists, data, software services, journals, and funders. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

For specific questions or comments about this information including the NSF Project Outcomes Report, contact us.