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Washington University Center for Diabetes Translation Research Policy and Systems Science Analysis in Diabetes Research Core (RRID:SCR_015203)Copy Citation Copied
URL: https://cdtr.wustl.edu/our-cores/policy-and-systems-science-analysis/
Proper Citation: Washington University Center for Diabetes Translation Research Policy and Systems Science Analysis in Diabetes Research Core (RRID:SCR_015203)
Description: THIS RESOURCE IS NO LONGER IN SERVICE. Documented on June 15,2026. Core facility whose services include policy consultation and research design advice, workshops on systems science analysis, and management of a resource library of policy and system science tools and datasets.
Resource Type: access service resource, core facility, resource, service resource
Keywords: policy analysis, systems science, policy consultation, diabetes translational research
Related Condition: Diabetes
Funding: NIDDK P30DK092950
Availability: THIS RESOURCE IS NO LONGER IN SERVICE
Resource Name: Washington University Center for Diabetes Translation Research Policy and Systems Science Analysis in Diabetes Research Core
Resource ID: SCR_015203
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
Email: info_at_ dknet.org
