| NSF Org: |
OAC Office of Advanced Cyberinfrastructure (OAC) |
| Recipient: |
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| Initial Amendment Date: | September 23, 2013 |
| Latest Amendment Date: | August 30, 2017 |
| Award Number: | 1261727 |
| Award Instrument: | Cooperative Agreement |
| Program Manager: |
Amy Walton
awalton@nsf.gov (703)292-4538 OAC Office of Advanced Cyberinfrastructure (OAC) CSE Directorate for Computer and Information Science and Engineering |
| Start Date: | October 1, 2013 |
| End Date: | September 30, 2019 (Estimated) |
| Total Intended Award Amount: | $4,543,420.00 |
| Total Awarded Amount to Date: | $5,173,883.00 |
| Funds Obligated to Date: |
FY 2016 = $1,134,391.00 FY 2017 = $630,463.00 |
| History of Investigator: |
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| Recipient Sponsored Research Office: |
2550 NORTHWESTERN AVE # 1100 WEST LAFAYETTE IN US 47906-1332 (765)494-1055 |
| Sponsor Congressional District: |
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| Primary Place of Performance: |
155 S. Grant Street West Lafayette IN US 47907-2114 |
| Primary Place of
Performance Congressional District: |
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| Unique Entity Identifier (UEI): |
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| Parent UEI: |
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| NSF Program(s): | Data Cyberinfrastructure |
| Primary Program Source: |
01001718DB NSF RESEARCH & RELATED ACTIVIT 01001314DB NSF RESEARCH & RELATED ACTIVIT |
| Program Reference Code(s): |
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| Program Element Code(s): |
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| Award Agency Code: | 4900 |
| Fund Agency Code: | 4900 |
| Assistance Listing Number(s): | 47.070 |
ABSTRACT
This project will develop geospatial data analysis building blocks as core part of the HUBzero Scientific Collaboration platform to enable researchers and educators to create and share geospatial data sets and modeling tools. The project will build upon geospatial capabilities that have been developed by IT experts and validated by the science community and bring such capabilities to the masses, hence any domain scientist can develop and deploy geospatial applications with graphical user interfaces on the web. The deliverables include (1) tools and web service interfaces of "data space" for managing and sharing data, including geospatial data, and (2) Extended RAPPTURE Toolkit APIs to support geospatial mapping, image processing, visualization, and access to shared data in the data space. The building blocks software developed in this project will be open source as part of the HUBzero open source releases.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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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 has created new capabilities of geospatial data management, processing, analysis and visualization in HUBzero®, an open source software stack for creating dynamic web platforms for scientific collaboration. HUBzero powers more than 60 research community websites that makes computational tools, scientific data sets, research results and training materials available to the broader community and public. These sites, also known as science gateways, support research and education in a wide range of domains including nanotechnology, materials research, cancer care engineering, extreme weather, hydrology, and agricultural and food sustainability. As geographically referenced data are widely collected and available, its usage in research and education is increasing rapidly. Traditionally, one needs to have in-depth knowledge and computer programming expertise of Geographical Information System (GIS), as well as computing resources to process, analyze and view geospatial data. The GABBs software produced from this project helps lower the barriers in dealing with such data. Integrated with the HUBzero platform, GABBs is helping make scientific datasets such as satellite imagery of land use, earth features, water quality data, and crop health information, and simulation outputs more accessible and usable by anyone with a web browser and an Internet connection. Tools of general usage and domain specific applications have been created and are being used by users from multiple disciplines and sectors.
The software developed in this project is available in multiple manners and is deployed on a geospatial data science gateway MyGeoHub.org, a web portal for research data, applications, learning and collaboration. This site is currently supporting more than 10 federally funded research projects and more than 10,000 users annually. The software tools from the project have been widely used to support education and workforce development. Researchers use these interactive tools to access scientific and social science datasets around the nation; run computational workloads on the NSF supported powerful supercomputers; and train the next generation workforce in computational and data competency in classrooms and workshops.
Earth scientists in an NSF Cyber Training project are using the GABBs-enabled tools and MyGeoHub to teach graduate students how to make their research more reproducible and accessible. More than forty workshop participants from the US, Europe and China, used the SIMPLE-G suite of economic modeling tools to model and analyze the impacts of practices and policies, and collaborate across disciplines with the goal of finding long term sustainable development solutions. The GABBs platform makes tools like these more accessible to those around the world who lack the computing power or money to buy licenses.
MultiSpect Online is a GABBs-enabled web application for interactively analyzing multispectral and hyperspectral image data ranging from airborne and spaceborne earth observation systems such as satellites to medical images in a web browser. This puts powerful visualization and processing capabilities (e.g., visualize multispectral image data with the minimum 3 to several 100’s of bands, unsupervised classification, supervised classification with 10 different classifiers) in the hands of teachers and students who can teach and learn through hands-on experience in analyzing real-world datasets and be better prepared to enter the workforce. MultiSpec has been used by more than 1000 users in classroom and research to date, and in introducing remote sensing and image analysis to middle school students in summer camps.
SWATShare, HydroGlobe and AgMIP Data Aggregation tools are also outcomes of the project that have immediate impacts on research and learning. SWATShare is a Soil and Water Assessment Tool (SWAT) environmental model publishing, sharing and analysis platform. It has been used by 400+ users to publish more than 500 SWAT models, and run more than 700 simulations and calibrations on the NSF supported supercomputing ecosystem XSEDE through a web browser interface. SWATShare has been used by several graduate courses at Purdue University and Texas A&M University Kingsville. It is interoperable with HydroShare, a data/model sharing collaborative platform for the hydrology community. Also freely available, HydroGlobe can extract remotely sensed data related to soil moisture, potential evapotranspiration, precipitation and other hydrologic variables in a user friendly format for a specified spatial and temporal domain, reducing the “data wrangling” time significantly in the research pipeline. The AgMIP tool makes it easier for social scientists to access and aggregate output data from the Global Gridded Crop Model Intercomparison data archive.
More than 12 graduate students and more than 9 undergraduate students were trained and contributed to the project. The team published 35+ peer-reviewed conference papers and abstracts, and approximately 20 peer-reviewed journal papers, and one book chapter; conducted 100+ training events and presentations (including conferences, workshops, tutorials, webinars and posters). 20+ scientific tools were created using GABBs, attracting approximately 2200 users.
By making it easier and faster to share computational tools and data, this project helps the research community make progress toward compliance of FAIR science, that is, making research software and data Findable, Accessible, Interoperable and Reusable.
Last Modified: 01/21/2020
Modified by: Xiaohui Carol Song
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