• Title/Summary/Keyword: ICPSR

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An Investigation on Intellectual Structure of Social Sciences Research by Analysing the Publications of ICPSR Data Reuse (ICPSR 데이터 재이용 저작물 분석을 통한 사회과학 분야의 지적구조 분석)

  • Chung, EunKyung
    • Journal of the Korean Society for Library and Information Science
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    • v.52 no.1
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    • pp.341-357
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    • 2018
  • 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.

Data Life Cycle Proposal for Research Data Management (연구 데이터 관리를 위한 데이터 라이프 사이클 제안)

  • Kim, Juseop;Kim, Suntae;Jeon, Yerin
    • Journal of the Korean Society for Library and Information Science
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    • v.53 no.4
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    • pp.309-340
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    • 2019
  • Although overseas countries have already developed data life cycle for the preservation and curation of data since the 1990s, the research in Korea has been very insufficient. In this study, we analyzed the data life cycles developed in DCC, ICPSR, IWGDD, DataONE, USGS and UKDA to propose data life cycle for efficient management of research data. As a result of the analysis, the common components derived are 'Plan', 'Create & Collect', 'Process', 'Preserve', 'Dispose', 'Access & Use', 'Describe', 'Assure' and 'Backup & Secure'. In addition, the nine components were subdivided into stages to describe the details to be carried out at that stage. It is expected that the content of this study will be applicable in the future development of data life cycle for research data management in Korea.

The Functional Requirements of Core Elements for Research Data Management and Service (연구 데이터 관리 및 서비스를 위한 핵심요소의 기능적 요건)

  • Kim, Juseop;Kim, Suntae;Choi, Sangki
    • Journal of the Korean Society for Library and Information Science
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    • v.53 no.3
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    • pp.317-344
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    • 2019
  • Increasing the value of data, paradigm shifts in research methods, and specific manifestations of open science indicate that research is no longer text-centric, but data-driven. In this study, we analyzed the services for DCC, ICPSR, ANDS and DataONE to derive key elements and functional requirements for research data management and services that are still insufficient in domestic research. Key factors derived include DMP writing support, data description, data storage, data sharing and access, data citations, and data management training. In addition, by presenting functional requirements to the derived key elements, this study can be applied to construct and operate RDM service in the future.

An Foreign Case Analysis of Humanities and Social Research Data Management Policies (해외 인문사회분야 연구데이터 관리정책 활용사례 분석)

  • Shim, Sae-bom
    • Proceedings of the Korean Society for Information Management Conference
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    • 2016.08a
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    • pp.93-96
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    • 2016
  • 현존하는 모든 데이터의 90%가 지난 2년 내 생산된 것이지만, 보존되는 데이터의 비율은 매년 17% 하락하고 있다. 본 연구에서는 연구데이터를 보존하기 위해 연구데이터 관리 정책을 살펴보고자 한다. 자연과학 분야에 비해 데이터 관리의 제도적 기반이 미약한 인문사회 분야의 연구데이터 정책 사례를 살펴보았다. 미국의 ICPSR, 캐나다의 SSHRC, 영국의 AHRC의 웹사이트에서 데이터 관련 정책을 참고하여 조사하였다.

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Study about Research Data Citation Based on DCI (Data Citation Index) (Data Citation Index를 기반으로 한 연구데이터 인용에 관한 연구)

  • Cho, Jane
    • Journal of the Korean Society for Library and Information Science
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    • v.50 no.1
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    • pp.189-207
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    • 2016
  • Sharing and reutilizing of research data could not only enhance efficiency and transparency of research process, but also create new science through data integrating and reinterpretationing. Diverse policies about research data sharing and reutilizing have been developing, along with extending of research evaluating spectrum that across research data citation rate to social impact of research output. This study analyzed the scale and citation number of research data which has not been analyzed before in korea through data citation index using Kruskal-Wallis H analysis. As result, genetics and biotechnology are identified as subject areas which have most huge number of research data, however the subject areas that have been highly cited are identified as economics and social study such as, demographic and employment. And Uk Data Archive, Inter-university Consortium for Political and Social Research are analyzed as data repositories which have most highly cited research data. And the data study which describes methodology of data survey, type and so on shows high citation rate than other data type. In the result of altmetrics of research data, data study of social science shows relatively high impact than other areas.

Item-Level Psychometrics of the 12 Items of the Coping Orientation to Problems Experienced Scale (스트레스 대처 척도 12개 항목에 대한 심리측정 속성)

  • Nam, Sanghun;Hilton, Claudia L.;Lee, Mi-Jung;Pritchard, Kevin T.;Bae, Suyeong;Hong, Ickpyo
    • Therapeutic Science for Rehabilitation
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    • v.11 no.3
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    • pp.65-80
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    • 2022
  • Objective : This study examined the psychometric properties of the 12-item Coping Orientation to Problems Experienced Scale (COPE) using Rasch analysis. COPE is one of the instruments used to measure stress-coping skills. Methods : The study participants were 480 community-dwelling older adults. We tested the instrument's unidimensionality assumption using principal component analysis (PCA). Item fit was examined using infit-and-outfit mean-square (MnSq) and standardized fit statistics (ZSTD). The precision and item difficulty hierarchies of the instrument were examined. The item-difficulty hierarchy was investigated to identify the easy and difficult items. We tested differential item functioning (DIF) for sex and age groups. Results : PCA revealed that the instrument met the unidimensionality assumption (eigenvalue = 1.78). Among the 12 items, item 2 was removed because of misfit (Infit MnSq = 1.33, Infit ZSTD = 5.05, Outfit MnSq = 1.56, Outfit ZSTD = 7.15). The remaining 11 items demonstrated a conceptual item-difficulty hierarchy. The person strata value was 3.10, which is equivalent to a reliability index value of 0.81. There was no DIF for the sex and age groups (DIF contrast <0.27). Conclusion : The findings indicated that the revised COPE-11 has adequate item-level psychometric properties and can accurately measure stress coping skills.