Utah Population Database (UPDB)

犹他州人口数据库 (UPDB)

• 批准号: 9918294
• 负责人: Ken R Smith
• 金额: $ 0.35万
• 依托单位: UNIVERSITY OF UTAH
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/9918294
• 关键词: Abbreviations; Adenomatous Polyposis Coli; Affect; Area; BRCA1 gene; BRCA2 gene; Behavioral Research; Bioinformatics; Budgets; CDKN2A gene; Cancer Center; Cancer Center Support Grant; Cancer Family; Cancer Patient; Cancer-Predisposing Gene; Chemicals; Clinical; Clinical Research; Collaborations; Complex; Computer software; Computers; Cost Savings; Custom; DNA; DNA Sequence Alteration; Data; Data Set; Databases; Development; Discipline; Disease; Doctor of Philosophy; Environmental Epidemiology; Environmental Risk Factor; Epidemiology; Equipment; European; Faculty; Family; Family Study; Funding; Genealogy; Genes; Genetic; Genetic Counseling; Genetic screening method; Genetic study; Genomics; Genotype; Geography; Goals; Grant; Hereditary Malignant Neoplasm; High-Risk Cancer; Incidence; Individual; Infrastructure; Institutes; Internet; Investigation; Investments; Laboratories; Link; Malignant Neoplasms; Management Information Systems; Maps; Medical; Medical Genetics; Mission; Molecular Target; NCI Center for Cancer Research; NF1 gene; National Cancer Institute; Natural Language Processing; Neurofibromatosis 1; Pattern; Peer Review; Persons; Pharmaceutical Preparations; Phenotype; Population Database; Prevalence; Productivity; Records; Research; Research Design; Research Personnel; Resource Informatics; Resource Sharing; Resources; Scientist; Secure; Services; Software Engineering; Software Tools; Source; Susceptibility Gene; Syndrome; System; Technology; United States; United States Public Health Service; Update; Utah; acronyms; anticancer research; base; biobank; cancer epidemiology; cancer risk; cost; data management; data mining; data registry; database design; design; electronic data capture system; experimental study; gene discovery; gene environment interaction; genetic epidemiology; genetic pedigree; graphical user interface; health care delivery; human disease; human subject; improved; informatics shared resource; kindred; malignant breast neoplasm; melanoma; member; molecular pathology; mortality; neoplasm registry; neoplasm resource; next generation sequencing; operation; population based; programs; recruit; screening; segregation; software development; software systems; tool

RESEARCH INFORMATICS SHARED RESOURCE ABSTRACT The Research Informatics (RI) Shared Resource, established in 1995, provides Cancer Center members state- of-the-art software engineering, database design, and application and web development, as well as cutting- edge expertise in natural language processing, system design, data mining, and electronic data capture systems. Huntsman Cancer Institute (HCI) covers a majority of the costs of this stable, integrated team of computer professionals, enabling their allocation to the ongoing and new initiatives of highest importance to the cancer mission; priorities are determined by the HCI Director's Cabinet. Samir Courdy, BS, MBA, an accomplished computer scientist with expertise in software engineering and development of large-scale software systems, has directed the RI Shared Resource since 2006 and has managed all software development since 2000. Ms. Cindy Spigle, associate director of the RI Resource since 2011, is responsible for daily operations and assists Mr. Courdy in management. To achieve its goals, the RI Shared Resource provides computing infrastructure, hardware equipment, and services, including the latest advances in front-end graphical user interface (GUI) technologies and secure backend database engines and persistence layers. The RI Shared Resource has developed applications and databases for several other HCI-managed Shared Resources, including High-Throughput Genomics and Bioinformatic Analysis, Genetic Counseling, Biorepository and Molecular Pathology, and the Utah Population Database. The RI Shared Resource supports all four of the Cancer Center's Research Programs with the many software suites the team designs, builds, and supports. These include comprehensive suites of software applications for Cancer Clinical Research (CCR); Biospecimen Management and Annotation (itBioPath); a microarray and next-generation sequencing Laboratory Information Management System (LIMS) and experiment analysis and annotation suite (GNomEx); and a drug/chemical screening annotation and management suite (CSAM). CCR, itBioPath, and GNomEx are integrated systems providing genotype and phenotype associations for research. As software development is beyond the budget of most individual researchers, the RI Shared Resource adds important value to the Cancer Center by enabling a wide variety of researchers to utilize customized software tools without substantial financial investments. The Resource also provides cost savings to researchers by obtaining grant and institutional support to help offset software development costs. In 2013, use of the RI Shared Resource by Cancer Center members with peer-reviewed funding exceeded 57%, while the CCSG budget request is only 6% ($123,370) of the total proposed budget.

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