Award Abstract # 2136085
Community Needs for Research Data Management in Aquatic Ecosystems

NSF Org: OAC
Office of Advanced Cyberinfrastructure (OAC)
Recipient: UNIVERSITY OF ILLINOIS
Initial Amendment Date: July 9, 2021
Latest Amendment Date: July 9, 2021
Award Number: 2136085
Award Instrument: Standard Grant
Program Manager: Plato Smith
plsmith@nsf.gov
 (703)292-4278
OAC
 Office of Advanced Cyberinfrastructure (OAC)
CSE
 Directorate for Computer and Information Science and Engineering
Start Date: December 1, 2021
End Date: November 30, 2024 (Estimated)
Total Intended Award Amount: $40,154.00
Total Awarded Amount to Date: $40,154.00
Funds Obligated to Date: FY 2021 = $40,154.00
History of Investigator:
  • William MacMullen (Principal Investigator)
    wjohn@illinois.edu
Recipient Sponsored Research Office: University of Illinois at Urbana-Champaign
506 S WRIGHT ST
URBANA
IL  US  61801-3620
(217)333-2187
Sponsor Congressional District: 13
Primary Place of Performance: Board of Trustees of the University of Illinois Henry Admin Bldg
506 S. Wright Street
Urbana
IL  US  61801-3620
Primary Place of Performance
Congressional District:
13
Unique Entity Identifier (UEI): Y8CWNJRCNN91
Parent UEI: V2PHZ2CSCH63
NSF Program(s): NSF Public Access Initiative
Primary Program Source: 01002122DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 7556
Program Element Code(s): 741400
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.070

ABSTRACT

This workshop will bring together multiple communities that cross disciplinary boundaries and sectors to focus on shared Aquatic invasive species (AIS) data challenges in the Upper Mississippi River Basin (UMRB). The Midwest Big Data Hub (MBDH) team will work in partnership with a committee of AIS experts and with national organizations including the other three NSF Big Data Innovation Hubs. Intended workshop participants include researchers, outreach and education specialists, and government agency staff. AIS are a growing threat to freshwater resources, aquatic ecosystems, and wetland plant communities in the Midwest. In the UMRB the potential for spread and impacts are especially high due to the proximity to the Great Lakes, the interconnected stream network, and an abundance of glacial lakes used for recreation. Much of the data needed to address the questions around aquatic invasive species movement and impact are currently being collected by various academic institutions, government agencies, and other stakeholders. However, the UMRB Region currently lacks a comprehensive inventory of the data available, information about accessibility, and data format standards. Further, AIS management is a multifaceted issue requiring data on numerous interconnected processes. Advances in technologies as well as data management skills are needed to advance data interoperability and replicability to address the challenge of AIS.

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.

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