基于DCI的社会学数据影响力分析

摘要

随着大数据时代的来临，数据的开放和利用情况受到各国政府和研究机构的高度重视，尤其在最近几年，政府数据和科学研究数据不断被公开获取。汤森路透所发布的Data Citation Index （DCI）促进了全球数据开放与共享的发展，客观评价科学数据成为众多学术研究者所关注的问题。本文从DCI数据库筛选出社会学的科学数据，统计这些数据的有效引用频次（M）、二次引用数量（F）和最近引用时间（R），将这些数据的有效引用频次、二次引用数量和最近引用时间进行线性组合，计算这些科学数据的学术影响力。最后，利用社会学研究数据的统计分析结果讨论了该学科领域科学数据的学术价值。%With the coming of Big Data era, governments and research institutions have paid great emphasis on openness and utiliza-tion of data and governmental as well as scientific data keep being accessed recently. Data Citation Index (DCI) of Thomson Reuters has promoted the development of the global data openness and sharing and objective evaluation of scientific data is a concerned issue for many academic researchers. This article, taking social science data from DCI, calculates the academic influence and value of these data with some indicators.