Award Abstract # 1153775
EAGER: Distilling a Process for a National CI Roadmap from NSF Collaboratories

NSF Org: OAC
Office of Advanced Cyberinfrastructure (OAC)
Recipient: UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL
Initial Amendment Date: August 29, 2011
Latest Amendment Date: August 9, 2016
Award Number: 1153775
Award Instrument: Standard Grant
Program Manager: Rajiv Ramnath
OAC
 Office of Advanced Cyberinfrastructure (OAC)
CSE
 Directorate for Computer and Information Science and Engineering
Start Date: September 1, 2011
End Date: August 31, 2017 (Estimated)
Total Intended Award Amount: $300,000.00
Total Awarded Amount to Date: $300,000.00
Funds Obligated to Date: FY 2011 = $300,000.00
History of Investigator:
  • Ashok Krishnamurthy (Principal Investigator)
    ashok@renci.org
  • John McGee (Former Principal Investigator)
Recipient Sponsored Research Office: University of North Carolina at Chapel Hill
104 AIRPORT DR STE 2200
CHAPEL HILL
NC  US  27599-5023
(919)966-3411
Sponsor Congressional District: 04
Primary Place of Performance: University of North Carolina at Chapel Hill
104 Airport Drive, Suite 2200
Chapel Hill
NC  US  27599-1350
Primary Place of Performance
Congressional District:
04
Unique Entity Identifier (UEI): D3LHU66KBLD5
Parent UEI: D3LHU66KBLD5
NSF Program(s): Software Institutes
Primary Program Source: 01001112DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 7916, 8004
Program Element Code(s): 800400
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.070

ABSTRACT

Many large NSF Collaboratories are individually solving sometimes very similar CI challenges and utilizing the same academic research software. These projects also face very similar challenges in the development of new research software necessary to achieve the science objectives of the collaboratory. Alignment, re-use and coordinated development of enabling CI across these projects could lead to a National CI Roadmap, greatly enhancing infrastructure for research and education in the US. However, adopting new technologies and approaches mid-project imposes sufficiently high risk to the success of the science goals of the individual projects that this level of coordination and leverage rarely experienced at a deep level. This research will explore the risks and benefits, and development of new processes and communities to establish a coordinated National CI Roadmap.

In developing new processes for coordinated CI, the investigators and participating collaboratories will examine issues and concerns including: risk assessment and management for outsourced services and participation and utilization of developing or emerging open source software; privacy, integrity, assurances; code management; separation of software at the boundary of domain science and enabling infrastructure; virtualization; federated identity and group management; hosted data management and analytics offerings; integration with and dependence upon campus services and communicating with campus IT leadership.

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

This project had two related outcomes. The first was the creation of a distributed data sharing platform for scientific data. It is essential that researchers have the ability to share data, discover and access the data that has been collected at different institutions, test their analysis methods on a diverse collection of data, and publish and share the results with the community. The size and complexity of the data, as well as the computational requirements of the analysis methods makes conventional approaches to data sharing difficult for most researchers.We created a prototype platform for this project, which now forms the basis of a data services platform called xDCI. Another project called BRAIN-I which collects high-resolution 3D images of the brain is also based on the work done as part of this project. 

The second outcome of the project was to understand and disseminate the data collection, storage, analysis and visualization needs of two areas related to the Internet of Things. The first area was on the Industrial Internet, and we held a workshop in July 2015 at Cisco Headquarters in San Jose, CA. The record of this meeting was widely distributed.  The second workshop was on mobile technologies and how they can be used for health (mHealth). This workshop was held in May 2017 at Chapel Hill. Reports on both the workshops are available by either writing 


Last Modified: 04/18/2018
Modified by: Ashok Krishnamurthy

Please report errors in award information by writing to: awardsearch@nsf.gov.

Print this page

Back to Top of page