社會科學領域科學數(shù)據(jù)的引用現(xiàn)狀與特點分析
發(fā)布時間:2018-09-19 10:11
【摘要】:從被引科學數(shù)據(jù)內(nèi)容的視角分析社會科學領域科學數(shù)據(jù)的引用現(xiàn)狀與特點。通過抽樣調(diào)查法獲取研究樣本,統(tǒng)計樣本被引社會科學數(shù)據(jù)在創(chuàng)建者、類型、被引次數(shù)、訪問方式、更新次數(shù)、規(guī)模及時間跨度等方面的概況。結果發(fā)現(xiàn),被引社會科學數(shù)據(jù)的創(chuàng)建者多是政府機構和研究機構;被引社會科學數(shù)據(jù)的類型雖多樣化,但調(diào)查類數(shù)據(jù)居于主導,被引用次數(shù)最多;公眾訪問和僅ICPSR用戶訪問的樣本數(shù)據(jù)集的數(shù)量相當;大部分被引社會科學數(shù)據(jù)的時間跨度短、規(guī)模小、更新次數(shù)少。
[Abstract]:This paper analyzes the current situation and characteristics of citation of scientific data in the field of social science from the point of view of the contents of cited scientific data. The research sample is obtained by sampling survey, and the general situation of the author, type, citation number, access method, update number, scale and time span of the cited social science data of the sample is obtained. The results show that the authors of cited social science data are mostly government agencies and research institutions, although the types of cited social science data are diversified, the survey data are dominant and cited most frequently. The number of sample data sets accessed by the public and only ICPSR users is similar; most of the cited social science data have short time span, small scale and few updating times.
【作者單位】: 北京師范大學政府管理學院;中央財經(jīng)大學馬克思主義學院;
【基金】:國家社會科學基金項目“云計算環(huán)境下圖書館信息資源安全政策法律研究”(編號:11CTQ004)資助
【分類號】:G353.1
本文編號:2249831
[Abstract]:This paper analyzes the current situation and characteristics of citation of scientific data in the field of social science from the point of view of the contents of cited scientific data. The research sample is obtained by sampling survey, and the general situation of the author, type, citation number, access method, update number, scale and time span of the cited social science data of the sample is obtained. The results show that the authors of cited social science data are mostly government agencies and research institutions, although the types of cited social science data are diversified, the survey data are dominant and cited most frequently. The number of sample data sets accessed by the public and only ICPSR users is similar; most of the cited social science data have short time span, small scale and few updating times.
【作者單位】: 北京師范大學政府管理學院;中央財經(jīng)大學馬克思主義學院;
【基金】:國家社會科學基金項目“云計算環(huán)境下圖書館信息資源安全政策法律研究”(編號:11CTQ004)資助
【分類號】:G353.1
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