OHSU Informatics Analytics BD2K Skill Course

描述：我们建议创建和传播OHSU信息分析BD2K技能课程，使研究人员和处于任何职业阶段的学生能够获得关键的分析和数据技能以及能力，作为大数据向知识(BD2K)计划的一部分。尽管大数据推动研究的潜力巨大，但我们的需求评估发现，许多研究人员和研究生缺乏基本技能，无法确定合适的数据集来回答他们的假设，缺乏管理和“争论”数据以准备分析数据，以及使用普通和高级方法分析数据。这些需求因研究人员的经验和技能而异。因此，我们提出了三个教育组成部分：第一个是招募不同的参与者，并努力灌输 大数据基本技能的一套基本能力；第二是创建具有嵌入信号的现实但合成的大型数据集，学生可以在协作和互动练习中练习他们的技能；第三是创建高级挑战，以帮助研究人员测试和实施更高级的方法。我们预计，这一影响将是巨大的，使研究人员能够改进他们对大数据的使用，以更快、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，并分享创建的数据集，以便其他人可以培训自己的团队。

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.