Data type and data source preferences for six social sciences subjects in quantitative data reuses
Journal
Association for Information Science and Technology
Journal Volume
55
Journal Issue
1
Pages
867¡V868
Date Issued
2018
Author(s)
Wang, Yi-Yu
Abstract
ABSTRACT In this paper we describe an analysis of the most frequently used data types intersecting data sources in quantitative data re‐ uses in six major social science subject disciplines. Using a sample of 1,319 papers from 40 social sciences journals in Taiwan, this study reveals the reuse patterns among the subjects for a time span of 15 years. The finding shows that the six sub‐ jects formed three groups, each with similar data reuse patterns. It also shows that business data from governments, series surveys from academic institutions, and series surveys from governments are the three most important kinds of data for social scientists, but the major users of those data differed.
Type
conference paper