University of Washington , Seattle, Washington, USA.
OMICS. 2011 Apr;15(4):217-9. doi: 10.1089/omi.2011.0009.
Data-intensive science will open up new avenues to explore, new questions to ask, and new ways to answer. Yet, this potential cannot be unlocked without new emphasis on education of the researchers gathering data, the analysts analyzing data and the cross-disciplinary participants working together to make it happen. This article is a summary of the education issues and challenges of data-intensive sciences and cloud computing as discussed in the Data-Intensive Science (DIS) workshop in Seattle, September 19-20, 2010.
数据密集型科学将开辟新的探索途径,提出新的问题,并提供新的回答方式。然而,如果不更加重视正在收集数据的研究人员、正在分析数据的分析师以及共同努力实现这一目标的跨学科参与者的教育,这种潜力就无法释放出来。本文总结了 2010 年 9 月 19 日至 20 日在西雅图举行的数据密集型科学 (DIS) 研讨会上讨论的数据密集型科学和云计算的教育问题和挑战。