바로가기메뉴

본문 바로가기 주메뉴 바로가기

Journal of the Korean Society for Library and Information Science

Article Contents

Prev Next
e-Submission

Vol.52 No.1
Citation Share

An Investigation on Intellectual Structure of Social Sciences Research by Analysing the Publications of ICPSR Data Reuse

Journal of the Korean Society for Library and Information Science / Journal of the Korean Society for Library and Information Science, (P)1225-598X; (E)2982-6292
2018, v.52 no.1, pp.341-357
https://doi.org/10.4275/KSLIS.2018.52.1.341

(2018). An Investigation on Intellectual Structure of Social Sciences Research by Analysing the Publications of ICPSR Data Reuse. Journal of the Korean Society for Library and Information Science, 52(1), 341-357, https://doi.org/10.4275/KSLIS.2018.52.1.341
  • Downloaded
  • Viewed
PDF Download

Abstract

Due to the paradigm of open science and advanced digital information technology, data sharing and re-use have been actively conducted and considered data-intensive in a wide variety of disciplines. This study aims to investigate the intellectual structure portrayed by the research products re-using the data sets from ICPSR. For the purpose of this study, a total of 570 research products published in 2017 from the ICPSR site were collected and analyzed in two folds. First, the authors and publications of those research products were analyzed in order to show the trends of research using ICPSR data. Authors tend to be affiliated with university or research institute in the United States. The subject areas of journals are recognized into Social Sciences, Health, and Psychology. In addition, a network with clustering analysis was conducted with using co-word occurrence from the titles of the research products. The results show that there are 12 clusters, mental health, tabocco effect, disorder in school, childhood, and adolescence, sexual risk, child injuries, physical activity, violent behavior, survey, family role, women, problem behavior, gender differences in research areas. The structure portrayed by ICPSR data re-uses demonstrates that substantial number of studies in Medicine have been conducted with a perspective of social sciences.

keywords
ICPSR, 데이터, 데이터 공유, 데이터 재이용, 지적구조, 동시출현단어분석, 네트워크, ICPSR, Data, Data Sharing, Data Re-use, Intellectual Structure, Co-word Analysis, Network

Reference

1.

이재윤. COOC ver 0.4 프로그램 [cited 2018. 1. 15.]

2.

이재윤. semi.exe 프로그램 [cited 2018. 1. 10.]

3.

조재인. 2016. Data Citation Index를 기반으로 한 연구데이터 인용에 관한 연구. 한국문헌정보학회지, 50(1), 189-207.

4.

최형욱, 정은경. 2017. 사회학 분야의 연구데이터 특성과 지적구조 규명에 관한 연구. 정보관리학회지, 34(3), 109-124.

5.

Borgman, C. L. 2015. Big Data, Little Data, No Data: Scholarship in the Networked World. Cambridge, MA: MIT Press.

6.

Cousijn, H. et al. 2017. “A Data Citation Roadmap for Scientific Publishers." bioRxiv. [online][cited 2018. 1. 16.] <https://www.biorxiv.org/content/early/2017/01/19/100784>

7.

Faniel, I. M., Kriesberg, A., and Yakel, E. 2016. Social Scientists' Satisfaction with Data Reuse. Journal of the Association for Information Science and Technology, 67(6), 1404-1416.

8.

He, L., and Han, Z. 2017. Do Usage Counts of Scientific Data Make Sense? An Investigation of the Dryad Repository. Library Hi Tech, 35(2), 332-342.

9.

ICPSR, n.d. Inter-University Consortium for Political and Social Research. [online] [cited 2018. 1. 3.] <https://www.icpsr.umich.edu/icpsrweb/>

10.

Mooney, H. 2011. “Citing Data Sources in the Social Sciences: Do Authors Do It?.” Learned Publishing, 24(2): 99-108.

11.

Park, H., and Wolfram, D. 2017. An Examination of Research Data Sharing and Re-use:Implications for Data Citation Practice. Scientometrics, 111(1), 443-461.

12.

Piwowar, H. A., Vision, T. J., and Whitlock, M. C. 2011. Data Archiving is a Good Investment.Nature, 473, 285-285.

13.

Silvello, G. 2018. Theory and Practice of Data Citation. Journal of the Association for Information Science and Technology, 69(1), 6-20.

14.

Social Media Research Foundation. NodeXL Program. [cited 2018. 1. 10.]<https://www.smrfoundation.org/nodexl/>

15.

Swanberg, S. M. 2017. Inter-University Consortium for Political and Social Research (ICPSR).Journal of the Medical Library Association: JMLA, 105(1), 106-107.

16.

Yoon, A. 2017. Data Reusers' Trust Development. Journal of the Association for Information Science and Technology, 68(4), 946-956.

17.

Yoon, A., and Kim, Y. 2017. Social Scientists' Data Reuse Behaviors: Exploring the Roles of Attitudinal Beliefs, Attitudes, Norms, and Data Repositories. Library & Information Science Research, 39(3), 224-233.

Journal of the Korean Society for Library and Information Science

e-Submission OA Policy