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Award Abstract #1261582

CIF21 DIBBs: Brown Dog

Div Of Advanced Cyberinfrastructure
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Initial Amendment Date: September 5, 2013
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Latest Amendment Date: November 6, 2015
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Award Number: 1261582
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Award Instrument: Cooperative Agreement
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Program Manager: Robert Chadduck
ACI Div Of Advanced Cyberinfrastructure
CSE Direct For Computer & Info Scie & Enginr
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Start Date: October 1, 2013
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End Date: September 30, 2018 (Estimated)
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Awarded Amount to Date: $10,519,716.00
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Investigator(s): Kenton McHenry kmchenry@ncsa.uiuc.edu (Principal Investigator)
Jong Lee (Co-Principal Investigator)
Praveen Kumar (Co-Principal Investigator)
Barbara Minsker (Co-Principal Investigator)
Michael Dietze (Co-Principal Investigator)
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Sponsor: University of Illinois at Urbana-Champaign
CHAMPAIGN, IL 61820-7473 (217)333-2187
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NSF Program(s): DATANET
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Program Reference Code(s): 7433, 8048
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Program Element Code(s): 7726


The information age has made it trivial for anyone to create and then share vast amounts of digital data. This includes unstructured collections made of data such as images, video, and audio to collections of born digital content made up of data such as documents and spreadsheets. While the creation and sharing of content has been made easy, its inverse, the ability to search and use the contents of digital data, has been made exponentially more difficult. In the physical analogue librarians have used the process of curation to standardize the format by which information is stored and diligently index holdings with metadata to allow both current and future generations to find information. Digitally this does not happen as that curation overhead is an unwelcomed bottleneck to the creation of more data. Though popular services such as modern search engines give the illusion that this is being done, this is largely over the portion of digital data that is text based and/or containing text metadata. Unstructured collections and contents trapped behind difficult to read file formats, however, make up a significant part of our collective digital data assets and are largely not accessible.

Science today not only uses but relies on software and digital content. It is well known that science is not only responsible for a significant amount of our digital data holdings but that also much of this is un-curated data, what the scientific community currently refer to as "long-tail" data. As such contemporary science, which relies on digital data and software, software which evolves and disappears quickly as underlying technology changes, is entering a realm where scientific results are no-longer easily reproducible and as such in essence no longer a science as science hinges on the fact that a documented procedure will result in the same result each time.


Note:  When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher. Some full text articles may not yet be available without a charge during the embargo (administrative interval).

Some links on this page may take you to non-federal websites. Their policies may differ from this site.

P. Kumar. "Hydrocomplexity: Addressing Water Security and Emergent Environmental Risks," Water Resources Research, 2015. 

D.K. Woo, J.C. Quijano, P. Kumar, S. Chaoka, C.J. Bernacchi. "Threshold Dynamics in Soil Carbon Storage for Bioenergy Crops," Environmental Science & Technology, v.48, 2014, p. 12090. 

P. Kumar. "Hydrocomplexity: Addressing Water Security and Emergent Environmental Risks," Water Resources Research, 2015.


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



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