Data Analytic Services Core

数据分析服务核心

• 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
• 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

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) 密歇根大学奥布莱恩肾脏转化资源中心 (MKTC) 的主要目标是 提供有效的转化研究渠道，为患者开发新颖的机械治疗策略 患有肾脏疾病。肾脏研究人员持续需要挖掘和提取相关知识 多标量数据集需要新的数据分析服务核心 (DASC)。 DASC 将支持 研究人员通过组装来自临床队列研究和试验的大规模数据集，从模型 来自整个肾脏研究界的系统研究。 DASC 的主要目标是赋权 研究人员独立挖掘多尺度数据集，特别是： (a) 了解人类疾病和模型中的全球分子术语的肾脏发育和损伤； (b) 定义诊断和进展的分子和临床标志物； (c) 确定治疗性攻击的关键途径； (d) 确定重点临床试验的患者群体； (e) 对连接分子和表型数据的多尺度数据进行纵向分析； (f) 识别处于疾病或疾病进展风险的受试者；和 (g) 将特定群体与背景卫生系统数据联系起来，以进行风险因素评估和预测 对特定队列研究中未招募/抽样的人员进行建模和结果分析。 DASC 托管的数据集将涵盖临床前肾脏的完整转化研究流程 疾病模型系统研究以人类队列数据集得出。此数据将加载到 DASC 托管的 数据挖掘和共享平台的开发旨在实现多尺度数据集的集成 由研究基地调查人员挖掘、分析和共享。数据挖掘和分析接口 询问感兴趣的遗传、分子、组织学或临床特征已被专门开发 以满足肾脏研究人员的需求。 DASC 将继续这一发展轨迹，同时使 由 MKTC 研究团体使用。核心将提供一套独立且互补的平台 满足我们在地区、国家和地区定义的研究用户角色的不同需求的方法 全球肾脏研究界。