大数据背景下体育科学研究的思考

Thinking of Sports Science Research under the Background of Big Data

以文献资料法和逻辑分析法为核心研究方法,对运动训练学领域中大数据的应用进行分析(由于运动训练学的研究多数需要数据支撑),通过体育领域中"大数据"的案例运用来探讨现在体育科学研究领域中出现的盲点以及未来体育科学研究中可能出现的趋势。大数据对体育科学研究领域的影响主要表现在以下几方面:1)在以理论驱动模型为出发点的研究中,利用大数据或许会更加接近事实上的理论;2)合理利用大数据进行科学研究会使结果的精度得以提高。针对大数据的特点,提出了关于未来体育科学研究的几点展望:1)重新认识数据价值;2)将非结构化数据纳入研究体系,建立多维度立体模型;3)从数据间的相关关系探究背后因果规律。

Using literature and logical analysis as core research method to analyse the application of big data in the field of sports training. Most of the research of sports training need data as basis. Through the cases under the ＂big data＂ in the field of sports area to explore the the blind point which appeared in sports science research field and the possible tendency of future sports science. The effects of big data in the field of sports science research were mainly showed up in the following aspects： 1） based on the research which model driven by theory, the current use of big data may be much closer to the facts; 2） the rational use of big data for scientific research can improve the results＇ accuracy. According to the characteristics of big data, there are several prospects for future sports science were put forward： 1） re-recognize the value of the data; 2） take non structured data into the research system to establish a multi-dimensional stereoscopic model; 3） find the law of causality from the relationship between the data.