A Platform for Computationally Advanced Collaborative AgroInformatics Data Discovery and Analysis

Citation data:

Proceedings of the Practice and Experience in Advanced Research Computing 2017 on Sustainability, Success and Impact - PEARC17, Vol: Part F128771, Page: 1-4

Publication Year:
2017

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DOI:
10.1145/3093338.3093376
Author(s):
Andrew Gustafson, Jesse Erdmann, Michael Milligan, Getiria Onsongo, Philip Pardey, Tom Prather, Kevin Silverstein, James Wilgenbusch, Ying Zhang
Publisher(s):
Association for Computing Machinery (ACM)
Tags:
Computer Science
conference paper description
The International Agroinformatics Alliance (IAA) is a coalition of public and private institutions that are cooperating to develop a platform for computationally advanced collaborative analysis of agricultural data. By combining large agricultural data sets with advanced analysis techniques, IAA seeks to catalyze agricultural research, leading to improved agricultural productivity and stability. IAA has constructed a platform that combines Jupyterhub web notebooks for interactive data analysis, relational databases for storage of crop genetic and geospatial data, and the Globus file transfer system for efficient data transfer and authentication. The platform uses a data permissions system that allows users to share data with collaborators. The central platform is located at the Minnesota Supercomputing Institute, at the University of Minnesota, which allows access to the large storage and compute resources required for advanced agroinformatics analysis pipelines.

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