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Data Analytic Services Core

数据分析服务核心

基本信息

批准号：
10746902
负责人：
BRIAN David ATHEY
金额：
$ 23.4万
依托单位：
UNIVERSITY OF MICHIGAN AT ANN ARBOR
依托单位国家：
美国
项目类别：
财政年份：
2023
资助国家：
美国
起止时间：
2023-09-01 至 2028-06-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10746902
关键词：
Address Advocate Area Back Biological Models Categories Cells Clinical Clinical Markers Clinical Trials Cohort Studies Collaborations Communities Community Outreach Core Facility Critical Pathways Custom Data Data Analyses Data Analytics Data Set Databases Development Diagnosis Disease Progression Education Effectiveness Ensure Epidemiology Evaluation of Risk Factors Feedback Gene Expression Genetic Genotype Goals Health system Hematology Histologic Human Individual Injury Injury to Kidney Institution Intervention Kidney Kidney Diseases Knowledge Knowledge Extraction Link Maps Michigan Molecular Multiomic Data Mus National Institute of Diabetes and Digestive and Kidney Diseases Online Systems Outcome Participant Pathway interactions Patients Performance Persons Phenotype Process Protocols documentation Research Research Personnel Research Training Resource Development Resources Sampling Services Social Network Structure System Systems Biology Target Populations Therapeutic Training Programs Translational Research Translations Universities Update Urology Validation Vision Work analytical tool base bench to bedside catalyst cohort data exploration data integration data management data mining data resource data sharing design disadvantaged student disorder risk empowerment equity, diversity, and inclusion human disease human model improved innovation interest knowledgebase large scale data large-scale database longitudinal analysis molecular marker mouse model multiscale data nephrogenesis novel outreach patient population phenotypic data pre-clinical predictive modeling programs search engine sharing platform tool treatment response treatment strategy user-friendly web portal

项目摘要

ABSTRACT - DATA ANALYTIC SERVICES CORE (DASC) The main goal of the University of Michigan O'Brien Kidney Translational Resource Center (MKTC) is to provide an effective translational research pipeline to develop novel, mechanistic treatment strategies for patients with kidney diseases. The continuing need of kidney researchers to mine and extract pertinent knowledge from multi-scalar data sets has necessitated a new Data Analytic Services Core (DASC). DASC will support the investigators by assembling large-scale data sets derived from the clinical cohort studies and trials, from model system studies from the renal research community at large. The key objectives of the DASC will be to empower investigators to independently mine multi-scale data sets, specifically to: (a) Understand kidney development and injury in global molecular terms in human disease and models; (b) Define molecular and clinical markers of diagnosis and progression; (c) Identify critical pathways for therapeutic attack; (d) Identify patient populations for focused clinical trials; (e) Perform longitudinal analysis of multi-scale data linking molecular and phenotypic data; (f) Identify subjects at risk of disease or disease progression; and (g) Link specific cohorts with background health systems data to permit risk factor evaluation, prediction modeling, and outcomes analyses among those not recruited/sampled in specific cohort studies. The data set(s) hosted by the DASC will span the full translational research pipeline from preclinical kidney disease model system studies to the human cohort data sets derived. This data will be loaded into DASC-hosted data mining and sharing platforms which have been developed to enable integration of multi-scale data sets to be mined, analyzed, and shared by research base investigators. The data mining and analytic interfaces to interrogate genetic, molecular, histological, or clinical features of interest have been specifically developed towards the needs of the renal researcher. The DASC will continue this development trajectory while enabling use by the MKTC research community. The core will provide a suite of independent and complimentary platform approaches serving distinct needs of the research user personas we have defined in our reginal, national and global kidney research community.

摘要-数据分析服务核心（dasc）