• Title/Summary/Keyword: Scientific data

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R&D Trends Monitoring through Scanning Public R&D Investments: The Case of Information & Communication Technology (ICT) in Meteorology and Climatology

  • Heo, Yoseob;Kim, Hyunwoo;Kim, Jungjoon;Kang, Jongseok
    • Asian Journal of Innovation and Policy
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    • v.5 no.3
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    • pp.315-329
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    • 2016
  • Public R&D investment information has diverse implications for researching R&D trends. Also, as it is important for the establishment of R&D policy to grasp the current situation and trends of R&D to improve science and technology level, science and technology information service system, such as NTIS (National Science & Technology Information Service), is operated at a national level in most countries. However, since the data forms provided by current NTIS are raw data, it is necessary to develop the R&D performance indicator or to use additional scientometric methods by analyzing scientific papers or scientific R&D project information for grasping R&D trends or analyzing R&D task results. Thus, this study applied public R&D investment information to investigate and monitor R&D trends in the field of information & communication technology (ICT) of meteorology and climatology by using NTIS data of Korea and NSF (National Science Foundation) data of USA.

A Study on Constructing figures in science Linked Open Data (과학인물 LOD 구축에 관한 연구)

  • Kim, Ji-Young;Park, Sun-A;Lee, Seon-Hee
    • Journal of Korean Library and Information Science Society
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    • v.45 no.4
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    • pp.429-455
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    • 2014
  • The information of figures in science which could induce interest in science and have educational importance is the value-added content through information sharing and connectivity. In this study, we analyzed domestic and overseas cases of Linked Open Data(LOD) that are being increased recently in order to provide a better service through information sharing and utilization of scientific figures. We suggested an efficient scientific figures ontology and the method for LOD construction reflecting the results of the analysis. We also presented plans for the interlinking among various external resources and for promoting LOD information use.

Bayesian smoothing under structural measurement error model with multiple covariates

  • Hwang, Jinseub;Kim, Dal Ho
    • Journal of the Korean Data and Information Science Society
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    • v.28 no.3
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    • pp.709-720
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    • 2017
  • In healthcare and medical research, many important variables have a measurement error such as body mass index and laboratory data. It is also not easy to collect samples of large size because of high cost and long time required to collect the target patient satisfied with inclusion and exclusion criteria. Beside, the demand for solving a complex scientific problem has highly increased so that a semiparametric regression approach could be of substantial value solving this problem. To address the issues of measurement error, small domain and a scientific complexity, we conduct a multivariable Bayesian smoothing under structural measurement error covariate in this article. Specifically we enhance our previous model by incorporating other useful auxiliary covariates free of measurement error. For the regression spline, we use a radial basis functions with fixed knots for the measurement error covariate. We organize a fully Bayesian approach to fit the model and estimate parameters using Markov chain Monte Carlo. Simulation results represent that the method performs well. We illustrate the results using a national survey data for application.

Variability of Ocean Status around Ulleung Basin and Dok-do by using ARGO Data (무인 해양관측기 (ARGO 플로트) 자료를 이용한 울릉분지 및 독도 주변해역 해황 변동성 분석)

  • Youn, Yong-Hoon;Chang, You-Soon;Hyun, Yu-Kyung;Cho, Chang-Woo;Ku, Ja-Ok;Cho, Min-Kwang;Ban, Young-Seok;Park, Seong-Jun;Kim, Su-Jeong
    • Atmosphere
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    • v.16 no.4
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    • pp.379-385
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    • 2006
  • Meteorological Research Institute (METRI) participates the R&E (Research and Education) program of Korea Science and Engineering Foundation,"Variability of ocean status around Ulleung basin and Dok-do by using ARGO data" as a part of "Carricula development for gifted students" program. From this program, we support students to have an opportunity for handling scientific data with advanced technology and inspire their scientific interests. In this article, we introduce the training processes of this program and the results of data analysis by the students themselves.

Development of science program using astronomical data in the history of Korea

  • Lee, Ji Hye;Shin, Dong Hee
    • The Bulletin of The Korean Astronomical Society
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    • v.37 no.2
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    • pp.96.1-96.1
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    • 2012
  • Science we have perceived as genuine science is based on western scientific enterprise, that is, western modern science(WMS). The K-12 science curriculum in Korea absolutely contains WMS content. Elkana(1981) criticized the indifference of comparative science in the field of science, whereas there have been a lot of comparative studies of art, religion, ethics, and politics. Science is the product not only based on 'western' culture but all cultural around the world including Korea. People have consistently observed and tested for such a long period of time all over the world. Traditional science of Korea can be related to multiculturalism, which has become important in many fields. Korea has a lot of great scientific enterprises, such as astronomical instruments of Chosun Dynasty and ancient data of natural phenomenon in Samguk-saki or Samguk-Yusa. It is expected that students will consider them as more 'objective' and 'realistic' things rather than 'artistic' and 'distinguished' things. Astronomy was also very important in the East because they believed sky as king, which results in the development of a lot of astronomical data and instruments in Korean history. In this study, we developed three units of science programs using astronomical enterprises in Korea: 1) Activities with our sundial, Angbuilgu:, 2) data interpretation of natural phenomenon in ancient Korea, 3) experience in Gyeongbokgung Palace. From these programs, we expect that students will develop a profound understanding and take pride in our science.

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Differentiation of Legal Rules and Individualization of Court Decisions in Criminal, Administrative and Civil Cases: Identification and Assessment Methods

  • Egor, Trofimov;Oleg, Metsker;Georgy, Kopanitsa
    • International Journal of Computer Science & Network Security
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    • v.22 no.12
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    • pp.125-131
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    • 2022
  • The diversity and complexity of criminal, administrative and civil cases resolved by the courts makes it difficult to develop universal automated tools for the analysis and evaluation of justice. However, big data generated in the scope of justice gives hope that this problem will be resolved as soon as possible. The big data applying makes it possible to identify typical options for resolving cases, form detailed rules for the individualization of a court decision, and correlate these rules with an abstract provisions of law. This approach allows us to somewhat overcome the contradiction between the abstract and the concrete in law, to automate the analysis of justice and to model e-justice for scientific and practical purposes. The article presents the results of using dimension reduction, SHAP value, and p-value to identify, analyze and evaluate the individualization of justice and the differentiation of legal regulation. Processing and analysis of arrays of court decisions by computational methods make it possible to identify the typical views of courts on questions of fact and questions of law. This knowledge, obtained automatically, is promising for the scientific study of justice issues, the improvement of the prescriptions of the law and the probabilistic prediction of a court decision with a known set of facts.

ANALYSIS OF ASTRONOMICAL ALMANAC DATA FOR NATIONAL STANDARD REFERENCE DATA (참조표준 등록을 위한 천문역법 자료 분석)

  • Yang, Hong-Jin;Ahn, Young-Sook;Lee, Ki-Won
    • Publications of The Korean Astronomical Society
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    • v.23 no.2
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    • pp.53-63
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    • 2008
  • Korea Astronomy and Space Science Institute (KASI), direct decendant of Korea National Astronomy Observatory, has been publishing Korean Astronomical Almanac since in 1976. The almanac contains essential data in our daily lives such as the times of sunrise, sunset, moonrise, and moonset, conversion tables between luni-solar and solar calendars, and so forth. So, we are planning to register Korean astronomical almanac data for national Standard Reference Data(SRD), which is a scientific/technical data whose the reliablity and the accuracy are authorized by scientific analysis and evalution. To be certificated as national SRD, reference data has to satisfy several criteria such as traceability, consistency, uncertainty, and so on. Based on similarity among calculation processes, we classified astronomical almanac data into three groups: Class I, II, and III. We are planning to register them for national SRD in consecutive order. In this study, we analyzed Class I data which is aimed to register in 2009, and presented the results. Firstly, we found that the traceability and the consistency can be ensured by the usage of NASA/JPL DE405 ephemeris and by the comparsion with international data, respectively. To evaluate uncertainty in Class I data, we solved the mathematical model and determined the factors influencing the calculations. As a result, we found that the atmospheric refraction is the main factor and leads to a variation of ${\pm}16$ seconds in the times of sunrise and sunset. We also briefly review the histories of astronomical almanac data and of standard reference data in Korea.

Research Data Management of Science and Technology Research Institutes in Korea (국내 과학기술분야 연구기관의 과학데이터 관리 현황)

  • Choi, Myung-Seok;Lee, Seung-Bock;Lee, Sanghwan
    • The Journal of the Korea Contents Association
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    • v.17 no.12
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    • pp.117-126
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    • 2017
  • As the recent research environment and research paradigm have become data-driven, Open Science, based on openness and sharing of public research results, has emerged as a global agenda for scientific research. National policies for sharing and re-use of research data from publicly-funded research are in effect globally. Therefore, in Korea, it is urgent to build policies and infrastructure for sharing and re-use of research data. In this paper, we investigate the current status of research data management of science and technology research institutes in Korea. We conducted in-depth interviews with researchers from 22 research institutes belonging to the National Research Council of Science & Technology, and 20 universities in Korea, asking about terms of creation management utilization of research data, willingness to share data, and needs for sharing and re-use of research data. From these interviews, we drew implications for open research data and future directions.

The predictability of science experience, school support and learning flow on the attitude of scientific inquiry in physical computing education (피지컬 컴퓨팅 교육에서 과학적 탐구 태도에 대한 과학경험, 교육지원, 학습몰입의 예측력 규명)

  • Kang, Myunghee;Jang, JeeEun;Yoon, Seonghye
    • Journal of The Korean Association of Information Education
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    • v.21 no.1
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    • pp.41-55
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    • 2017
  • The physical computing education, as the emerging field, is a form of education that helps learners to develop the attitude of scientific inquiry by developing meaningful and creative output through the integration of hardware and software elements. Based on the literature, the authors of the study used science experience, school support and learning flow as the variables that predict the outcome variable which is the attitude of scientific inquiry. The authors collected data from 64 fourth and sixth graders who studied physical computing at an institution for the gifted and talented in Korea and then analyzed them using descriptive statistics, correlation, multiple regression and simple mediation analysis methods. As a result, science experience and learning flow significantly predicted the attitude of scientific inquiry. In addition, learning flow mediated the relationship between science experience and the attitude of scientific inquiry, and the relationship between school support and the attitude of scientific inquiry. Based on these results, the authors propose that to promote the attitude of scientific inquiry in physical computing education, strategies must be implemented for improving science experience, school support and learning flow in instructional design.

Improvement of Students' Problem Finding and Hypothesis Generating Abilities: Gifted Science Education Program Utilizing Mendel's Law (문제발견 및 가설설정 능력 신장 과학영재교육프로그램 개발: 멘델의 과학적 사고과정 적용)

  • Kim, Soon-Ok;Kim, Bong-Sun;Seo, Hae-Ae;Kim, Young-Min;Park, Jong-Seok
    • Journal of Gifted/Talented Education
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    • v.21 no.4
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    • pp.1033-1053
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    • 2011
  • In the process of establishing the principle of genetics, Mendel discovered problems based on various observations. Mendel's scientific thinking ability can be effective if this ability is embedded in gifted science education programs. The study aims to develop a science gifted education program utilizing Mendel's scientific thinking ability shown in the principles of genetics and examine students' changes in scientific thinking ability before and after the program implementation. For the program development, first, the characteristics of Mendel's scientific thinking ability in the process of establishing the principle of genetics were investigated and extracted the major elements of inquiry. Second, the science gifted education programs was developed by applying the inquiry elements from the Mendel's Law. The program was implemented with 19 students of $7^{th}$, $8^{th}$ graders who attend the science gifted education center affiliated with university during July 2011. The Mendel's scientific thinking ability was classified into induction, deduction, and integration. The elements of inquiry extracted from the Mendel's scientific thinking include making observation, puzzling observation, proposing causal questions, generating hypothesis, drawing inference, designing experiment, gathering and analyzing data, drawing conclusions, and making generalization. With applying these elements, the program was developed with four phases: $1^{st}$ - problem finding; $2^{nd}$ - hypothesis generating; $3^{rs}$ - hypothesis testing and $4^{th}$ - problem solving. After implementation, students' changes in scientific thinking ability were measured. The findings from the study are as follows: First, students' abilities of problem finding is significantly (p<.05) increased. Second, students' abilities of hypothesis generating is significantly (pp<.05) increased.