iDASH: Integrating Data for Analysis, Anonymization, and Sharing

iDASH：集成数据进行分析、匿名化和共享

基本信息

批准号：
8697113
负责人：
LUCILA OHNO-MACHADO
金额：
$ 335.02万
依托单位：
UNIVERSITY OF CALIFORNIA, SAN DIEGO
依托单位国家：
美国
项目类别：
财政年份：
2010
资助国家：
美国
起止时间：
2010-09-20 至 2017-09-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8697113
关键词：
Acute Address Algorithms Anticoagulation Automobile Driving Behavioral Behavioral Research Biological Biomedical Computing Biomedical Research California Child Collaborations Collection Communication Communities Complex Computational algorithm Computer software Computers Control Groups Coronary artery Data Data Analyses Data Collection Data Compression Data Sources Data Storage and Retrieval Detection Development Devices Dimensions Disease Documentation Educational workshop Electronic Health Record Ensure Environment Environmental Monitoring Event Exposure to Failure Feedback Gene Expression Profile Genetic Genetic Polymorphism Genetic Risk Genome Genomics Goals Health Health Services Heart Diseases Human Individual Infectious Agent Information Technology Informed Consent Institutes Institution Internet Intervention Knowledge Laboratories Lead Leadership Longevity Maintenance Massive Parallel Sequencing Measurement Medical center Methods MicroRNAs Modeling Molecular Molecular Profiling Monitor Mucocutaneous Lymph Node Syndrome Obesity Ontology Outcome Pathway interactions Patients Pattern Performance Pharmaceutical Preparations Phase Phenotype Physical activity Policies Population Practice Management Predisposition Privacy Process Prospective Studies Publications Quality Control Reading Regulation Reporting Research Research Design Research Infrastructure Research Personnel Resource Sharing Resources Retrospective Studies Risk Risk Adjustment Safety Schedule Science Scientist Secure Security Services Side Software Tools Source Staging System Technology Telecommunications Training Training and Infrastructure Translational Research Universities Validation Vision Work abstracting biomedical informatics collaborative trial computer infrastructure computer science computerized data processing computerized tools computing resources cyber infrastructure data exchange data integration data integrity data sharing design experience health information technology improved infrastructure development innovation insight interest molecular phenotype multidisciplinary new technology open source patient privacy population based post-market prevent public health relevance risk variant sensor simulation supercomputer symposium tool tool development transcriptomics user-friendly

项目摘要

DESCRIPTION (provided by applicant): We propose to create IDASH, a national center for biomedical computing that will develop new algorithms, open-source tools, computational infrastructure and services that will enable biomedical and behavioral researchers nationwide to integrate Data for Analysis, Anonymization, and Sharing, IDASH will address fundamental challenges to research progress by providing a secure, privacy-preserving environment in which researchers can analyze genomic, transcriptomic and highly annotated phenotypical data. Leveraging the high performance capabilities of the San Diego Supercomputer Center (SDSC), and scalable cyberinfrastructure developed by the California Institute for Telecommunications and Information Technology, iDASH will provide synergistic application of tools and systems to advance research and improve human health. iDASH will focus on privacy protection through anonymization, data simulation, and an informed consent management system. It will focus on data analysis through the development of new tools for data annotation and integration across temporal and spatial dimensions, and develop algorithms for rare event detection and risk adjustment. To enable efficient analysis of short-reads from massively parallel sequencing, compression algorithms and a new genomic query system will be developed. Three Driving Biological Projects that span the molecular-individual-population spectrum will motivate, inform and support tool development: (1) Molecular Phenotyping of Kawasaki Disease; (2) Post-Marketing Pharmacosurveillance of Anticoagulation Agents; (3) Individualized Intervention to Enhance Physical Activity. iDASH trainees will complete core biomedical informatics courses and will have options for short- and long-term graduate training at San Diego State University and UCSD. We will collaborate with other NCBCs and disseminate tools via annual workshops for users and developers, presentations at major conferences, and scientific publications. We will develop a comprehensive web portal to download tools, upload data, and obtain documentation and user-friendly training materials. An experienced leadership team will use effective project management practices to support collaboration as well as monitor and ensure progress toward iDASH goals.

描述（由申请人提供）：我们建议创建 IDASH，一个国家生物医学计算中心，该中心将开发新的算法、开源工具、计算基础设施和服务，使全国的生物医学和行为研究人员能够整合数据进行分析、匿名化、 IDASH 将通过提供一个安全、保护隐私的环境来解决研究进展的根本挑战，让研究人员可以在其中分析基因组、转录组和高度注释的表型数据。利用圣地亚哥超级计算机中心 (SDSC) 的高性能以及加州电信和信息技术研究所开发的可扩展网络基础设施，iDASH 将提供工具和系统的协同应用，以推进研究并改善人类健康。 iDASH 将通过匿名化、数据模拟和知情同意管理系统专注于隐私保护。它将通过开发跨时间和空间维度的数据注释和集成的新工具来专注于数据分析，并开发罕见事件检测和风险调整的算法。为了能够对大规模并行测序的短读进行有效分析，将开发压缩算法和新的基因组查询系统。跨越分子个体群体谱系的三个驱动生物学项目将激励、告知和支持工具开发：(1) 川崎病的分子表型分析；（2）抗凝药物上市后药物监测； (3)个体化干预，增强体力活动。 iDASH 学员将完成核心生物医学信息学课程，并可以选择在圣地亚哥州立大学和加州大学圣地亚哥分校进行短期和长期研究生培训。我们将与其他 NCBC 合作，通过为用户和开发人员举办的年度研讨会、在主要会议上的演讲以及科学出版物来传播工具。我们将开发一个综合门户网站，用于下载工具、上传数据以及获取文档和用户友好的培训材料。经验丰富的领导团队将使用有效的项目管理实践来支持协作以及监控和确保 iDASH 目标的进展。