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https://labnodes.vanderbilt.edu/drtc

University-affiliated center that facilitates the discovery, application, and translation of scientific knowledge to improve the lives of people with diabetes.

Proper citation: Vanderbilt Diabetes Research and Training Center (RRID:SCR_015153) Copy   

•   Source: SciCrunch Registry

http://depts.washington.edu/diabetes/

University-affiliated center to support both basic and clinical research in diabetes and related metabolic disorders with the ultimate purpose of translating findings into opportunities to prevent these diseases and to improve clinical care and outcomes.

Proper citation: University of Washington Diabetes Research Center (RRID:SCR_015126) Copy   

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http://www.hopkinsmedicine.org/diabetes-research-center/

Center whose goal is to understand the causes of both type 1 and 2 diabetes and promotes translational research that is aimed at reducing the burden of these diseases in the U.S. It has a specific focus on childhood diabetes and diabetes that affects minority populations.

Proper citation: Johns Hopkins University - University of Maryland Diabetes Research Center (RRID:SCR_015086) Copy   

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http://www2.niddk.nih.gov/Research/Resources/ObesityResources.htm

THIS RESOURCE IS NO LONGER IN SERVICE, documented May 23, 2017. This website contains resources for obesity researchers including: Obesity Databases, Registries and Information; Obesity Multicenter Clinical Research; Obesity Basic Research Networks; Obesity Reagents; Obesity Services; Obesity Standardization Programs; Obesity Tissues, Cells, Animals; Obesity Useful Tools.

Proper citation: NIDDK- National Institute of Diabetes and Digestive and Kidney Diseases Obesity Resources (RRID:SCR_003074) Copy   

•   Source: SciCrunch Registry

http://diabetes.niddk.nih.gov/dm/pubs/america/

A compilation and assessment of epidemiologic, public health, and clinical data on diabetes and its complications in the United States. Published by the National Diabetes Data Group of the National Institute of Diabetes and Digestive and Kidney Diseases, the book contains 36 chapters organized in five areas: * the descriptive epidemiology of diabetes in the United States based on national surveys and community-based studies, including prevalence, incidence, sociodemographic and metabolic characteristics, risk factors for developing diabetes, and mortality * the myriad complications that affect patients with diabetes * characteristics of therapy and medical care for diabetes * economic aspects, including health insurance and health care costs * diabetes in special populations, including African Americans, Hispanics, Asian and Pacific Islanders, Native Americans, and pregnant women. Diabetes in America, 2nd Edition, has been designed to serve as a reliable scientific resource for assessing the scope and impact of diabetes and its complications, determining health policy and priorities in diabetes, and identifying areas of need in research. The intended audience includes health policy makers at the local and Federal levels who need a sound quantitative base of knowledge to use in decision making; clinicians who need to know the probability that their patients will develop diabetes and the prognosis of the disease for complications and premature mortality; persons with diabetes and their families who need sound information on which to make decisions about their life with diabetes; and the research community which needs to identify areas where important scientific knowledge is lacking.

Proper citation: Diabetes in America (RRID:SCR_006754) Copy   

•   Source: SciCrunch Registry

https://t1dexchange.org/research/biobank/

Collection of biological samples linked to participant medical data from individuals living with type 1 diabetes. Unifies samples and data from eight different clinical studies related to type 1 diabetes.

Proper citation: T1D Exchange Biobank (RRID:SCR_017195) Copy   

•   Source: SciCrunch Registry

http://teddy.epi.usf.edu/

International consortium of six centers assembled to participate in the development and implementation of studies to identify infectious agents, dietary factors, or other environmental agents, including psychosocial factors, that trigger type 1 diabetes in genetically susceptible people. The coordinating centers recruit and enroll subjects, obtaining informed consent from parents prior to or shortly after birth, genetic and other types of samples from neonates and parents, and prospectively following selected neonates throughout childhood or until development of islet autoimmunity or T1DM. The study tracks child diet, illnesses, allergies and other life experiences. A blood sample is taken from children every 3 months for 4 years. After 4 years, children will be seen every 6 months until the age of 15 years. Children are tested for 3 different autoantibodies. The study will compare the life experiences and blood and stool tests of the children who get autoantibodies and diabetes with some of those children who do not get autoantibodies or diabetes. In this way the study hopes to find the triggers of T1DM in children with higher risk genes.

Proper citation: TEDDY (RRID:SCR_000383) Copy   

•   Source: SciCrunch Registry

http://www.hopkinsguides.com/

Authoritative, need-to-know information from Johns Hopkins available for mobile devices and the web. Guides provide up to date information and break down details of diagnosis, drug indications, dosing, pharmacokinetics, side effects and interactions, pathogens, management, and vaccines into frequently-updated, quick-read entries. Available for infectious disease (ABX), diabetes, and HIV.

Proper citation: Johns Hopkins Point of Care Guides (RRID:SCR_006314) Copy   

•   Source: SciCrunch Registry

http://www.biogrid.org.au

A federated data sharing platform and infrastructure that provides access to real-time clinical, imaging and biospecimen data across jurisdictions, institutions and diseases. The web-based platform provides a secure infrastructure that advances health research by linking privacy-protected and ethically approved data among a wide network of health collaborators. Access to de-identified health records data is granted to authorized researchers after an application process so patient privacy and intellectual property are protected. BioGrid Australia''s approved researchers are provided access to multiple institutional databases, via the BioGrid interface, preventing gaps in patient records and research analysis. This legal and ethical arrangement with participating collaborators allows BioGrid to connect data through a common platform where data governance and access is managed by a highly skilled team. Data governance, security and ethics are at the core of BioGrid''s federated data sharing platform that securely links patient level clinical, biospecimen, genetic and imaging data sets across multiple sites and diseases for the purpose of medical research. BioGrid''s infrastructure and data management strategies address the increasing need by authorized researchers to dynamically extract and analyze data from multiple sources whilst protecting patient privacy. BioGrid has the capability to link data with other datasets, produce tailored reports for auditing and reporting and provide statistical analysis tools to conduct more advanced research analysis. In the health sector, BioGrid is a trusted independent virtual real-time data repository. Government investment in BioGrid has facilitated a combination of technology, collaboration and ethics approval processes for data sharing that exist nowhere else in the world.

Proper citation: BioGrid Australia (RRID:SCR_006334) Copy   

•   Source: SciCrunch Registry

http://www.autoimmunitycenters.org/

Nine centers that conduct clinical trials and basic research on new immune-based therapies for autoimmune diseases. This program enhances interactions between scientists and clinicians in order to accelerate the translation of research findings into medical applications. By promoting better coordination and communication, and enabling limited resources to be pooled, ACEs is one of NIAID''''s primary vehicles for both expanding our knowledge and improving our ability to effectively prevent and treat autoimmune diseases. This coordinated approach incorporates key recommendations of the NIH Autoimmune Diseases Research Plan and will ensure progress in identifying new and highly effective therapies for autoimmune diseases. ACEs is advancing the search for effective treatments through: * Diverse Autoimmunity Expertise Medical researchers at ACEs include rheumatologists, neurologists, gastroenterologists, and endocrinologists who are among the elite in their respective fields. * Strong Mechanistic Foundation ACEs augment each clinical trial with extensive basic studies designed to enhance understanding of the mechanisms responsible for tolerance initiation, maintenance, or loss, including the role of cytokines, regulatory T cells, and accessory cells, to name a few. * Streamlined Patient Recruitment The cooperative nature of ACEs helps scientists recruit patients from distinct geographical areas. The rigorous clinical and basic science approach of ACEs helps maintain a high level of treatment and analysis, enabling informative comparisons between patient groups.

Proper citation: Autoimmunity Centers of Excellence (RRID:SCR_006510) Copy   

•   Source: SciCrunch Registry

https://cdtr.wustl.edu/our-cores/research-partnerships-with-american-indianalaska-native-core/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on June 15,2026. Core facility whose services include consultation for community engagement strategies, communication with Native and non-Native American policy experts, and technical assitance in developing culturally appropriate study paradigms.

Proper citation: Washington University Center for Diabetes Translation Research Research Partnerships with American Indian/Alaskan Native Communities Core (RRID:SCR_015183) Copy   

•   Source: SciCrunch Registry

https://cdtr.wustl.edu/our-cores/administrative-core/

THIS RESOURCE IS LONGER IN SERVICE. Documented on June 15,2026. Management core whose main functions include organizing and managing membership committees, coordinating communication with the NIH and other research bases, and overseeing the use of funds.

Proper citation: Washington University Center for Diabetes Translation Research Administrative Core in Diabetes Research Core (RRID:SCR_015235) Copy   

•   Source: SciCrunch Registry

http://diabetestranslation.org/en/Cores/SNNR/feature.html

Program and partnership for supporting the California Diabetes Program. This partnership engages in various supportive activtes, including diabetes surveillance; the design, implementation, and evaluation of prevention and care strategies for diabetes; understanding the implications of policy change on diabetes care and prevention; and dissemination of new findings to diabetes stakeholders throughout the state.

Proper citation: Health Delivery Systems Center for Diabetes Translational Research California State Resource Program (RRID:SCR_015192) Copy   

•   Source: SciCrunch Registry

http://diabetestranslation.org/en/Cores/hit/

Core dedicated to promoting and integrating health information technology into every day health care settings. These technologies include data networks, surveillance of patterns of diabetes care, and management tools for diabetic populations.

Proper citation: Health Delivery Systems Center for Diabetes Translational Research Health Information Technology Core (RRID:SCR_015193) Copy   

•   Source: SciCrunch Registry

http://derc.yale.edu/cores/translational/index.aspx

Core facility whose goal is to provide training and education for the development of clinical researchers in diabetes.

Proper citation: Yale Diabetes Research Center Diabetes Translational Core Facility (RRID:SCR_015168) Copy   

•   Source: SciCrunch Registry

https://diabetes.med.umich.edu/affiliated-centers/michigan-center-diabetes-translational-research-mcdtr/cores-and-programs-3

Core is outgrowth of Michigan-UNC Peer Support Core, funded through Michigan Center for Diabetes Translational Research, 2016-21. It continues the Peer Support Core’s emphasis on the variety of peers and peer support approaches and the processes that undergird them, while expanding on these to include families and communities. Services include individual consultation to researchers and on research projects, national outreach, and facilitation such as through webinars and annual research workshops of national Special Interest Group of researchers interested in contributions of and interactions among community, peer, and family supports for reducing inequity in diabetes prevention and management.

Proper citation: Michigan Center for Diabetes Translational Research Leveraging Community, Peer, and Family Support Core Facility (RRID:SCR_015169) Copy   

•   Source: SciCrunch Registry

http://chicagodiabetesresearch.org/cores/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on June 30,2023. Core facility that provides analytic support for a wide range of projects in diabetes translation research ranging from program evaluation to cost-effectiveness analysis.

Proper citation: Chicago Center for Diabetes Translation Research Quantitative Analysis Core (RRID:SCR_015208) Copy   

•   Source: SciCrunch Registry

https://cdtr.wustl.edu/cores/artificial-intelligence-ai-and-data-science/

Core facility whose services include consultation for management of complex datasets and literature resources, as well as promoting education of data analysis tools for researchers.

Proper citation: Washington University Center for Diabetes Translation Research Health Informatics in Diabetes Research Core (RRID:SCR_015206) Copy   

•   Source: SciCrunch Registry

http://www.einstein.yu.edu/centers/diabetes-translational-research/lcmc/

Core facility that supports type II translational research in diabetes prevention and control. The life course perspective focuses on biopsychosocial and behavioral processes that individuals experience during particular periods in their life, and examines the interplay between these exposures in shaping disease risk.

Proper citation: New York Regional Center for Diabetes Translation Research Life Course Methodology Core (RRID:SCR_015176) Copy   

•   Source: SciCrunch Registry

https://labnodes.vanderbilt.edu/resource/view/id/10410/collection_id/2234/community_id/1136

Core facility whose goal is to incorporate and implement diabetes research outcomes into clinical settings. Services include data processing management and a software toolset and workflow methodology for electronic collection and management of research and clinical trial data.

Proper citation: Vanderbilt Center for Diabetes Translation Research Behavioral Intervention Technologies and Services Core (RRID:SCR_015177) Copy   

•   Source: SciCrunch Registry