OHSU Informatics Analytics BD2K Skill Course

OHSU 信息学分析 BD2K 技能课程

基本信息

批准号：
8828755
负责人：
DAVID A. DORR
金额：
$ 16.2万
依托单位：
OREGON HEALTH & SCIENCE UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2014
资助国家：
美国
起止时间：
2014-09-29 至 2017-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8828755
关键词：
Address Authorization documentation Big Data Bioinformatics Case Study Clinical Data Competence Complex Computational Biology Data Data Analyses Data Set Education Educational Curriculum Educational process of instructing Elements Environment Exercise Future Goals Grant Health Hybrids Informatics Information Retrieval Institution Instruction Knowledge Learning Medicine Melissa Mentors Metadata Methodology Methods Metric Needs Assessment Ontology Participant Persons Preparation Public Health Recruitment Activity Reproducibility Research Research Personnel Resources Science Scientist Secure Seminal Series Signal Transduction Staging Structure Students System Techniques Testing Time Training United States National Institutes of Health Work career experience graduate student improved population health public health relevance repository skills web page

项目摘要

DESCRIPTION: We propose to create and disseminate an OHSU Informatics Analytics BD2K Skill Course to enable researchers and students at any career stage to gain crucial analytics and data skills and competencies as part of the Big Data to Knowledge (BD2K) initiative. Although the potential of big data to advance research is enormous, our needs assessment has identified that a wide range of researchers and graduate students lack fundamental skills in identifying the appropriate data sets to answer their hypotheses, in managing and 'wrangling' data to prepare it for analysis, and in using both common and advanced methods to analyze the data. These needs varied by experience and skill of the researcher. We therefore propose three educational components: the first is to recruit a diverse set of participants and work to inculcate a fundamental set of competencies in basic big data skills; the second is to create realistic but synthetic large datasets with embedded signals where students can practice their skills in collaborative and interactive exercises; the third is to create advanced challenges to help researchers test and implement more advanced methodologies. We anticipate the impact to be substantial in enabling researchers to improve their use of big data to more rapidly and accurately address important research hypotheses. We will disseminate this work via online curricula resources and public venues and share the datasets created so that others may train their own teams.

描述：我们建议创建并传播 OHSU 信息学分析 BD2K 技能课程，使任何职业阶段的研究人员和学生都能获得关键的分析和数据技能和能力，作为大数据到知识 (BD2K) 计划的一部分。尽管大数据推进研究的潜力巨大，但我们的需求评估发现，许多研究人员和研究生缺乏识别合适的数据集来回答他们的假设、管理和“整理”数据以准备数据的基本技能进行分析，并使用通用和高级方法来分析数据。这些需求因研究人员的经验和技能而异。因此，我们提出三个教育组成部分：第一个是招募多元化的参与者并努力灌输基本大数据技能的一套基本能力；第二个是创建带有嵌入式信号的真实但综合的大型数据集，学生可以在其中通过协作和交互练习练习技能；第三是创造高级挑战，帮助研究人员测试和实施更先进的方法。我们预计，这将产生巨大的影响，使研究人员能够改善大数据的使用，从而更快、更准确地解决重要的研究假设。我们将通过在线课程资源和公共场所传播这项工作，并共享创建的数据集，以便其他人可以培训自己的团队。