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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Dive into the research topics where GEMS Informatics Initiative is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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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Olena Boiko
- Research Computing - Research Professional 5
- GEMS Informatics Initiative
Person: Researchers
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A Spatially Explicit, Long-Term Examination of the Changing Climate-Productivity Nexus of US Agriculture
Pardey, P. G. (PI), Chai, Y. (Co-Principal Investigator), Joglekar, A. (Co-Principal Investigator) & Hurley, M. A. (Other Role)
USDA Nat'l Inst. of Food & Agriculture
9/1/24 → 8/31/28
Project: Research project
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Potato Biotic Threat Intelligence System ? Developing conceptual models & system framework
Pardey, P. G. (PI), Boiko, O. (CoI), Senay, S. D. (CoI), Ranjan, A. (Co-Principal Investigator), Silverstein, K. (Co-Principal Investigator) & Srivastava, S. (Other Role)
8/23/24 → 6/30/25
Project: Research project
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Developing and scaling spatiotemporal pipelines linking farm BMPs to lakes and environmental variables
Silverstein, K. (PI), Agrawal, A. (CoI), Pardey, P. G. (CoI) & Porter, D. H. (CoI)
12/19/22 → 12/18/25
Project: Research project
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Agricultural policy and crop location: Long-run output and spatial climate risk consequences
Greyling, J. C., Pardey, P. G. & Senay, S., Jan 2025, In: American Journal of Agricultural Economics. 107, 1, p. 181-207 27 p.Research output: Contribution to journal › Article › peer-review
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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., Jul 1 2023, In: Crop Science. 63, 4, p. 1701-1721 21 p.Research output: Contribution to journal › Review article › peer-review
Open Access5 Scopus citations -
Data note: Spatializing South African agricultural censuses, 1918–2017
Senay, S. D., Greyling, J. C., Pardey, P. G. & Verhoef, H., 2023, In: Agrekon. 62, 3-4, p. 328-336 9 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations
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