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OHSU Informatics Analytics BD2K Skill Course

OHSU 信息学分析 BD2K 技能课程

基本信息

批准号：
9063158
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 2017-10-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9063158
关键词：
Address Big Data Big Data to Knowledge Bioinformatics Case Study Clinical Data Competence Complex Computational Biology Data Data Analyses Data Analytics Data Science Data Set Education Elements Environment Exercise Future Goals Grant Health Hybrids Informatics Information Retrieval Institution Instruction Knowledge Melissa Mentors Metadata Methodology Methods Needs Assessment Ontology Participant Persons Preparation Problem Sets Public Health Recruitment Activity Reproducibility Research Research Personnel Resources Science Secure Seminal Series Signal Transduction Staging Structure Students System Teaching Method Techniques Testing Time Training United States National Institutes of Health Work career data wrangling educational atmosphere experience graduate student improved online course population health precision medicine repository skills student training 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：我们建议创建和传播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能够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。尽管大数据在推动研究方面的潜力是巨大的，但我们的需求评估发现，大量的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“争论”数据以准备分析，以及使用常用和先进的方法来分析数据的基本技能。这些需求因研究人员的经验和技能而异。因此，我们提出了三个教育组成部分：第一是招募不同的参与者，并努力灌输