Award Abstract # 1835877
Collaborative Research: CSSI: Framework: Data: Clowder Open Source Customizable Research Data Management, Plus-Plus

NSF Org: OAC
Office of Advanced Cyberinfrastructure (OAC)
Recipient: SOUTHERN METHODIST UNIVERSITY
Initial Amendment Date: August 9, 2018
Latest Amendment Date: May 19, 2023
Award Number: 1835877
Award Instrument: Standard Grant
Program Manager: Alejandro Suarez
alsuarez@nsf.gov
 (703)292-7092
OAC
 Office of Advanced Cyberinfrastructure (OAC)
CSE
 Direct For Computer & Info Scie & Enginr
Start Date: September 1, 2018
End Date: August 31, 2024 (Estimated)
Total Intended Award Amount: $584,151.00
Total Awarded Amount to Date: $638,151.00
Funds Obligated to Date: FY 2018 = $584,151.00
FY 2022 = $36,000.00

FY 2023 = $18,000.00
History of Investigator:
  • Barbara Minsker (Principal Investigator)
    minsker@smu.edu
  • Jessie Zarazaga (Co-Principal Investigator)
  • Kenneth Berry (Former Co-Principal Investigator)
Recipient Sponsored Research Office: Southern Methodist University
6425 BOAZ ST RM 130
DALLAS
TX  US  75205-1902
(214)768-4708
Sponsor Congressional District: 24
Primary Place of Performance: Southern Methodist University
6425 Boaz Lane
Dallas
TX  US  75275-0302
Primary Place of Performance
Congressional District:
32
Unique Entity Identifier (UEI): D33QGS3Q3DJ3
Parent UEI: S88YPE3BLV66
NSF Program(s): Data Cyberinfrastructure
Primary Program Source: 01002223DB NSF RESEARCH & RELATED ACTIVIT
01002324DB NSF RESEARCH & RELATED ACTIVIT

01001819DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 062Z, 077Z, 7218, 7925, 8048, 9251
Program Element Code(s): 772600
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.070

ABSTRACT

Preserving, sharing, navigating, and reusing large and diverse collections of data is now essential to scientific discoveries in areas such as phenomics, materials science, geoscience, and urban science. These data navigation needs are also important when addressing the growing number of research areas where data and tools must span multiple domains. To support these needs effectively, new methods are required that simplify and reduce the amount of effort needed by researchers to find and utilize data, support community accepted data practices, and bring together the breadth of standards, tools, and resources utilized by a community. Clowder, an active curation based data management system, addresses these needs and challenges by distributing much of the data curation overhead throughout the lifecycle of the data, augmenting this with social curation and automated analysis tools, and providing extensible community-dependent means of viewing and navigating data. As an open source framework, built to be extensible at every level, Clowder is capable of interacting with and utilizing a variety of community tools while also supporting different data governance and ownership requirements.

The project enhances Clowder's core systems for the benefit of a larger group of users. It increases the level of interoperability with community resources, hardens the core software, and distributes core software development, while continuing to expand usage. Governance mechanisms and a business model are established to make Clowder sustainable, creating an appropriate governance structure to ensure that the software continues to be available, supportable, and usable. The effort engages a number of stakeholders, taking data from diverse but converging scientific domains already using the Clowder framework, to address broad interoperability and cross domain data sharing. The overall effort will transition the grassroots Clowder user community and Clowder's other stakeholders (such as current and potential developers) into a larger organized community, with a sustainable software resource supporting convergent research data needs.

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.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Li, Zheng and Wang, Xinlei and Zarazaga, Jessie and Smith-Colin, Janille and Minsker, Barbara "Do infrastructure deserts exist? Measuring and mapping infrastructure equity: A case study in Dallas, Texas, USA" Cities , v.130 , 2022 https://doi.org/10.1016/j.cities.2022.103927 Citation Details

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