• Title/Summary/Keyword: 통계학 문헌

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A Bibliometric Analysis of Korea Statistic Literaure (한국 통계학 문헌의 계량서지학적 분석)

  • 박성미
    • Journal of the Korean Society for information Management
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    • v.5 no.1
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    • pp.104-130
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    • 1988
  • The purpose of this study is to grasp the research activities of Korean statisticians and scientific properties of statistics field guantitatively by analyzing its literature with various bibliometric research methods. In this study the productivity of authors arid cited literatures were analyzed.

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Suggestions for KDC Improvement According to Academic Characteristics of Statistics (통계학의 학문적 특성에 따른 KDC 문헌분류의 개선방안)

  • Park, JaeHyeok;Kim, BeeYeon
    • Journal of Korean Library and Information Science Society
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    • v.44 no.2
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    • pp.399-422
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    • 2013
  • This study suggests some ideas for improvement of mixing classification and illogical subdivisions arrangement of Statistics in Social Science and Mathematical Statistics in Natural Science on KDC. We investigate the characteristics, educational system, and curriculum of Statistics in Korea. Besides, we compare and analyze classification systems such as KDC, DDC, LCC, NDC and Research Fields Code by National Research Foundation of Korea. As a result, Statistics in Social Science is relocated and integrated with the subfield of Natural Science according to the academic background. Existing social statistics topics are subdivided into statistical research methods complementing social science research methods. The heading 'Probabilities, Statistical mathematics' in Natural Science is changed to 'Statistics', and the subdivisions are expanded and revised.

A Review of Four Translated Statistics Books (통계학책 번역서 네 권에 대한 비평)

  • 조재근
    • The Korean Journal of Applied Statistics
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    • v.17 no.3
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    • pp.573-594
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    • 2004
  • Four statistics books, one translated by statisticians and three by non-statisticians, are reviewed. They are reviewed in terms of indices and bibliographies, statistical theory and terms, and the history of statistics. In addition, book review articles appeared in daily newspapers are considered. Unfortunately, we can find many(some of them trivial, and some others serious) problems in the translations. Many problems could have been got around if the books had been translated by statisticians. So, conclusion suggested in this article is very simple: Translation of statistics books, especially books for the laymen, is a job that Korean statisticians should not shift to others. Titles of the books reviewed in this article are as follows. 1. Rao, C. Radhakrishna(1997). Statistics and Truth : Putting Chance to Work, Second edition, World Scientific. 2. Best, Joel (2001). Damnel lies and Statistics : Understanding Numbers from the Media, Politicians, and Activists, University of California Press. 3. Bennett, Deborah J. (1998). Randomness, Harvard University Press; 4. Salsburg, David (2001). The Lady Tasting Tea : How Statistics Revolutionized Science in the Twentieth Century, W. H. Freeman.

A Study on the Current Status of Research Data Management by Researchers in Each Academic Field: Focusing on Library and Information Science, Statistics, Ecology, and Korean Musicology (학문분야별 연구자들의 연구데이터 관리 현황에 관한 연구 - 문헌정보학, 통계학, 생태학 및 한국음악학을 중심으로 -)

  • Juseop, Kim;Suntae, Kim;Yeonjung, Han;Won-Jae, Youe;Paul, Jeon;Seong Jun, Yang
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.33 no.4
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    • pp.229-247
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    • 2022
  • As part of open science, the government adopts a national research data sharing and utilization strategy, forms a governance system at the national level, and promotes policies for research institutes to implement. Although the policy for managing research data is carried out centering on the academic world, it is insufficient compared to developed countries, and even this is a reality in which researchers do not have enough awareness to introduce it to the field. The purpose of this study is to understand the research data management status of researchers in each academic field. Academic fields consisted of four fields including Library and Information Science, Statistics, Ecology, and Korean Musicology, and the current status of data management was identified through a survey. The current status of research data management was analyzed from the perspective of research data production, sharing and management, saving, preservation and reuse. As a result of the study, it was found that there were differences by discipline in terms of data production, data sharing and management, data preservation, and data reuse, except for data savings.

A Study on the Intellectual Structure of Data Science Using Co-Word Analysis (동시출현단어분석을 통한 데이터과학 분야의 지적구조에 관한 연구)

  • Kim, Hyunjung
    • Journal of the Korean Society for information Management
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    • v.34 no.4
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    • pp.101-126
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    • 2017
  • Data Science is emerging as a closely related field of study to Library and Information Science (LIS), and as an interdisciplinary subject combining LIS, statistics and computer science in an attempt to understand the value of data by applying what LIS has been doing for collecting, storing, organizing, analyzing, and utilizing information. To investigate which subject fields other than LIS, statistics, and computer science are related to Data Science, this study retrieved 667 materials from Web of Science Core Collection, extracted terms representing Web of Science Categories, examined subject fields that are studying Data Science using descriptive analysis, analyzed the intellectual structure of the field by co-word analysis and network analysis, and visualized the results as a Pathfinder network with clustering created with the PNNC clustering algorithm. The result of this study might help to understand the intellectual structure of the Data Science field, and may be helpful to give an idea for developing relatively new curriculum.

A Study on Data Repository Certification Scheme Analysis and Certification Strategy: Focused on Coretrustseal (데이터 리포지터리 인증 체계 분석 및 인증 전략에 관한 연구 - Coretrustseal을 중심으로 -)

  • Kim, Juseop;Yang, Seong J.;Kim, Suntae
    • Journal of the Korean Society for Library and Information Science
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    • v.56 no.2
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    • pp.209-229
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    • 2022
  • The purpose of this study is to analyze the data repository certification scheme and to propose a strategy to promote Coretrustseal certification. The certification system to be analyzed includes Coretrustseal, RatSWD, CLARIN certificate B, DIN 31644, ISO 16363, TDR and nestor. Among them, Coretrustseal certification is a core certification system that meets the standards and requirements of other certifications. Therefore, in this study, the Coretrustseal certification promotion strategy was proposed step by step. The proposed certification promotion strategy includes a list of research data policies and guidelines and examples of certification applications for use by institutions that operate domestic data repositories. Through this CTS certification process, each institution can secure research data policies and guidelines, and when CTS certification is obtained, it is judged that international reliability of the data repository can be secured.

통계적 교수 ${\cdot}$ 학습 과정을 통한 그래프 이해력 증진에 관한 탐구

  • Park, Gyeong-Yeon;Choe, Chang-U
    • Communications of Mathematical Education
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    • v.11
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    • pp.107-126
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    • 2001
  • 우리는 흔히 21C를 정보화 시대라고 하며 우리에게 주어지는 정보들 또한 일기예보와 같은 일상적인 분야에서 여론 조사와 같은 전문적인 분야에 이르기까지 아주 다양하다. 이런 정보들은 통계영역과 아주 밀접하며 이런 정보들을 통계적으로 바르게 해석하고 추론하여 일반화하는 등 일련의 과정들을 요구한다. 이런 상황아래 본 연구에서는 6차 초등학교 수학 교과서에서 여러 통계학 영역 중 그래프 형태로 가장 먼저 도입되는 막대그래프에 중점을 두어 현행 교과서에서 학습 내용과 학습 과정의 문제점에는 어떤 것이 있으며 아울러 그래프 이해력에 필요한 요소나 인지적 사고 능력, 그래프 이해력의 수준을 알아보고, 이를 바탕으로 여러 문헌을 통해 본 연구자가 나름대로 구안한 통계적 기법을 사용한 교수 ${\cdot}$ 학습 과정을 실험반에 적용한 후 그래프 이해력 사전 ${\cdot}$ 사후 검사를 비교함으로써 통계적 기법을 사용한 교수 ${\cdot}$ 학습 과정이 그래프 이해력에 어떠한 영향을 미치는지 알아보고자 한다.

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An Analysis of Data Science Curriculum in Korea (데이터과학 교육과정에 대한 분석적 연구)

  • Lee, Hyewon;Han, Seunghee
    • Journal of the Korean Society for Library and Information Science
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    • v.54 no.1
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    • pp.365-385
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    • 2020
  • In this study, in order to analyze the current status of the data science curriculum in Korea as of October 2019, we conducted an analysis of the prior studies on the curriculum in the data science field and the competencies required for data professional. This study was conducted on 80 curricula and 2,041 courses, and analyzed from the following perspectives; 1) the analysis of the characteristics of data science domain, 2) the analysis of key competencies in data science, 3) the content analysis of the course titles. As a result, data science program in Korea has become a research-oriented professional curriculum based on an academic approach rather than a technical, vocational, and practitional view. In addition, it was confirmed that various courses were established with a focus on statistical analysis competency, and interdisciplinary characteristics based on information technology, statistics, and business administration were reflected in the curriculum.

Evaluation of Lead Exposure Characteristics Using Domestic Occupational Exposure Literature Data (납에 대한 국내 직업적 노출 문헌 자료 고찰을 통한 노출 특성 평가)

  • Choi, Sangjun;Seo, Sung Chul;Park, Ju-Hyun;Koh, Dong-Hee;Kim, Hwan-Cheol;Park, Donguk;Choi, Hee Eun;Sung, Yeji;Oh, Se-Eun;Ko, Kyoung Yoon
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.32 no.1
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    • pp.1-9
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    • 2022
  • Objectives: The purpose of this study is to evaluate exposure characteristics of lead using data from the domestic occupational exposure literature. Methods: Occupational airborne exposure data on lead reported in the domestic literature from 1981 to 2018 were collected and re-analyzed. The exposure levels in the data were expressed as an estimated arithmetic mean and a weighted arithmetic mean (WAM) of the number of samples. Lead exposure characteristics were analyzed by industry, process, and year. Results: From a total of 14 documents, 8,305 airborne lead measurements for 17 industries were identified, and the WAM concentration in eight industries exceeded the occupational exposure limit of 50 ㎍/m3. Three industries (battery manufacturing, lead smelting, and litharge manufacturing) accounted for 95% of the total data, and exposure trends could be confirmed over 10 years. Exposure levels continue to decrease in all three industries. Conclusions: Considering the distribution outlook of lead and lead compounds, the main management targets are lead storage battery manufacturing and secondary smelting for lead regeneration.

Spatial analysis based on topic modeling using foreign tourist review data: Case of Daegu (외국인 관광객 리뷰데이터를 활용한 토픽모델링 기반의 공간분석: 대구광역시를 사례로)

  • Jung, Ji-Woo;Kim, Seo-Yun;Kim, Hyeon-Yu;Yoon, Ju-Hyeok;Jang, Won-Jun;Kim, Keun-Wook
    • Journal of Digital Convergence
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    • v.19 no.8
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    • pp.33-42
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    • 2021
  • As smartphone-based tourism platforms have become active, policy establishment and service enhancement using review data are being made in various fields. In the case of the preceding studies using tourism review data, most of the studies centered on domestic tourists were conducted, and in the case of foreign tourist studies, studies were conducted only on data collected in some languages and text mining techniques. In this study, 3,515 review data written by foreigners were collected by designating the "Daegu attractions" keyword through the online review site. And LDA-based topic modeling was performed to derive tourism topics. The spatial approach through global and local spatial autocorrelation analysis for each topic can be said to be different from previous studies. As a result of the analysis, it was confirmed that there is a global spatial autocorrelation, and that tourist destinations mainly visited by foreigners are concentrated locally. In addition, hot spots have been drawn around Jung-gu in most of the topics. Based on the analysis results, it is expected to be used as a basic research for spatial analysis based on local government foreign tourism policy establishment and topic modeling. And The limitations of this study were also presented.