Sharing canonical human stroke data

共享规范的人类中风数据

• 批准号: 7559104
• 负责人: A. Gregory Sorensen
• 金额: $ 63.4万
• 依托单位: MASSACHUSETTS GENERAL HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-30 至 2011-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7559104
• 关键词: Acute; Address; Adult; Algorithms; Archives; Biomedical Informatics Research Network; Blood Vessels; Brain imaging; Cause of Death; Cerebrovascular Disorders; Clinical; Clinical Data; Computer software; Data; Data Analyses; Data Set; Databases; Diabetes Mellitus; Disease; Ensure; Equipment; Evolution; Genetic; Genome; Genotype; Goals; Guidelines; Heritability; Human; Image; Image Analysis; Impaired cognition; Individual; Lead; Link; Metadata; Methodology; Morbidity - disease rate; Myocardial Infarction; Ontology; Pathogenesis; Patients; Perfusion; Phenotype; Play; Population; Prevention; Process; Research; Research Infrastructure; Resources; Rheumatoid Arthritis; Risk Factors; Role; Running; Secondary Prevention; Services; Site; Speed; Standardization; Stroke; Stroke prevention; System; Terminology; Training; White Matter Disease; Work; cohort; computing resources; data portal; data sharing; database structure; distributed data; genetic variant; genome wide association study; improved; morphometry; neuroimaging; novel therapeutic intervention; programs; prototype; success; tool

Despite significant progress in stroke prevention and its acute treatment, stroke remains the third leading cause of death and the leading cause of adult morbidity worldwide. Fundamental advances in stroke will require collecting and pooling advanced phenotype (e.g., neuroimaging) and genetic data from multiple centers. Description of and access to the data will also require a common stroke-specific lexicon. We have therefore initiated efforts to promote sharing and distribution of imaging and genetic data, www.strokedatabase.org and www.strokegenetics.org, and a lexicographic categorization tool, ccs.martinos.org. Using these portals, data and tools are available to individual research groups. We seek to expand our ability to distribute data and tools by linking our efforts to the infrastructure provided by the Biomedical Informatics Research Network (BIRN). We will initially distribute data using the BIRN service, Extensible Neuroimaging Archive Toolkit (XNAT) Central, to insure our data compatibility with the BIRN Data Repository (BDR). We will then work with BIRN domain experts to begin to incorporate stroke data specific terms into the BIRN ontology to ensure successful port and distribution of our data using the BDR. Linking our existing portals with BIRN resources has the potential to greatly facilitate data sharing which will benefit the understanding of stroke and speed discovery of new therapeutic interventions.

尽管在中风的预防和急性治疗方面取得了重大进展，但中风仍然是第三大 死亡原因和成人发病率的主要原因。中风的根本性进展 需要收集和汇集高级表型（例如，神经成像）和来自多个 中心.对数据的描述和访问也需要一个通用的笔画专用词典。我们有 因此开始努力促进成像和遗传数据的共享和分发， www.strokedatabase.org和www.strokegenetics.org，以及词典分类工具， 利用这些门户网站，各个研究小组可以获得数据和工具。我们寻求 通过将我们的努力与 生物医学信息学研究网络（BIRN）。我们最初将使用BIRN服务分发数据， 可扩展神经影像存档工具包（XNAT）中心，以确保我们的数据与BIRN数据兼容 存储库（BDR）。然后，我们将与BIRN领域专家合作，开始将特定的中风数据 术语添加到BIRN本体中，以确保使用BDR成功移植和分发我们的数据。连接我们的 拥有BIRN资源的现有门户网站有可能极大地促进数据共享， 了解中风和加快发现新的治疗干预措施。