Projects per year
Organization profile
Organization profile
GEMS Informatics re-imagines the relationships between public and private data, institutions, and disciplines to inform and accelerate data-driven innovation in the food and agricultural sectors. GEMS is a joint venture led by the College of Food, Agricultural and Natural Resource Sciences (CFANS) and Research Computing (Minnesota Supercomputing Institute and U-Spatial) at the University of Minnesota. We make genomic, environmental, management, and socioeconomic data inter-operable at varying spatial and temporal scales to generate new insights and promote new innovation partnerships. GEMS Informatics uses FAIR(ER)-findable, accessible, interoperable, reusable, ethical and reproducible practices in all it does. Producing and enabling the creation of research-ready, scientific-quality data, and turning that data into actionable information for farmers, scientists, governments or companies is what we do.
GEMS has five service areas:
- GEMS Platform: Smart data sharing, cleaning and analysis platform
- GEMS Sensing: Field-based IoT (Internet of Things) sensors and data services
- GEMS Exchange: Data streaming services via interoperable APIs
- GEMS Learning: Digital and data science education
- GEMS Solutions: Consulting services
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):
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Profiles
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Graham T Allan
- Research Computing - Research Director
- Minnesota Supercomputing Institute
- GEMS Informatics Initiative
Person: Research Support
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Joseph E Axberg
- Research Computing - IT Professional
- GEMS Informatics Initiative
Person: Academic Professionals
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Developing and scaling spatiotemporal pipelines linking farm BMPs to lakes and environmental variables
Silverstein, K., Agrawal, A., Pardey, P. G. & Porter, D. H.
12/19/22 → 12/18/23
Project: Research project
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Characterizing the gaps and opportunities for computer-aided planning and design forconservation in Hennepin County
10/15/22 → 10/15/23
Project: Research project
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Adapting perennial grain and oilseed crops for climate resiliency
Jungers, J., Runck, B., Ewing, P. M., Maaz, T., Carlson, C., Neyhart, J., Fumia, N., Bajgain, P., Subedi, S., Sharma, V., Senay, S., Hunter, M., Cureton, C., Gutknecht, J. & Kantar, M. B., 2023, (Accepted/In press) In: Crop Science.Research output: Contribution to journal › Review article › peer-review
Open Access -
Smallholder farms have and can store more carbon than previously estimated
Ewing, P. M., Tu, X., Runck, B. C., Nord, A., Chikowo, R. & Snapp, S. S., Mar 2023, In: Global change biology. 29, 6, p. 1471-1483 13 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Sustaining productivity gains in the face of climate change: A research agenda for US wheat
Kusunose, Y., Rossi, J. J., Van Sanford, D. A., Alderman, P. D., Anderson, J. A., Chai, Y., Gerullis, M. K., Jagadish, S. V. K., Paul, P. A., Tack, J. B. & Wright, B. D., Feb 2023, In: Global change biology. 29, 4, p. 926-934 9 p.Research output: Contribution to journal › Article › peer-review
Open Access
Datasets
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SNP Genotyping Data for the Barley Population in "Registration of the S2MET Barley Mapping Population for Multi-Environment Genomewide Selection"
Neyhart, J. & Smith, K. P., Data Repository for the University of Minnesota, 2019
DOI: 10.13020/cp4r-0v95, http://hdl.handle.net/11299/204785
Dataset