• Title/Summary/Keyword: 데이터 정보 리터러시

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A Study about the Concept of Data Literacy based on Digital Humanities (인문학 기반 데이터 리터러시 개념에 대한 연구)

  • Han, Sang Woo
    • Journal of the Korean Society for information Management
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    • v.35 no.4
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    • pp.223-236
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    • 2018
  • The purpose of this study is to suggest the concept of data literacy and its detailed competencies based on humanities focused on LIS. To do this, we define the concept of data literacy by comparing and analyzing researches related data literacy, data information literacy, and digital literacy in domestic and foreign. And we design the basic 11 elements of data literacy based on digital humanities concepts. The result of this study is expected to be used as a basic data when design henceforward data literacy framework.

Data science and data literacy (데이터 사이언스와 데이터 리터러시)

  • Lee, Jae Yun
    • Proceedings of the Korean Society for Information Management Conference
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    • 2015.08a
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    • pp.11-15
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    • 2015
  • 데이터 사이언스가 경영, 학술, 교육 등의 전 영역에 확산되면서 변화를 이끌어내고 있다. 문헌정보학과 도서관의 입장에서 데이터 사이언스라는 대세를 수용하는 전략에 대해서 데이터 리터러시를 중심으로 살펴보았다. 연구 데이터 리터러시, 통계 데이터 리터러시, 실무 데이터 리터러시의 세 가지로 나누어 살펴본 결과, 데이터 리터러시는 데이터와 관련된 기술과 역량을 강조하는 용어로서 문헌정보학과 도서관 현장에서 데이터 사이언스를 주도적인 입장에서 수용하는 브랜드로 육성시킬 필요가 있다고 판단된다.

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A Study on Design of Data Literacy Model Based on Digital Humanities (인문학 기반 데이터 리터러시 모형 설계에 관한 연구)

  • Han, Sang Woo
    • Journal of the Korean Society for information Management
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    • v.37 no.1
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    • pp.179-195
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    • 2020
  • As data becomes more important, data literacy has recently emerged as an significant term. The purpose of this study is to design data literacy model based on digital humanities. To attain this end, data literacy model was designed by combining the main contents derived from the digital humanities education program with specific capabilities extracted from research related to data literacy. By applying the data literacy model, which is the result of this study, it will be applicable to the data literacy courses in universities, and I would like to propose a follow-up study to evaluate the effectiveness of data literacy in the future.

A Study on the Data Literacy Education in the Library of the Chat GPT, Generative AI Era (ChatGPT, 생성형 AI 시대 도서관의 데이터 리터러시 교육에 대한 연구)

  • Jeong-Mee Lee
    • Journal of the Korean Society for Library and Information Science
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    • v.57 no.3
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    • pp.303-323
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    • 2023
  • The purpose of this study is to introduce this language model in the era of generative AI such as ChatGPT, and to provide direction for data literacy education components in libraries using it. To this end, the following three research questions are proposed. First, the technical features of ChatGPT-like language models are examined, and then, it is argued that data literacy education is necessary for the proper and accurate use of information by users using a service platform based on generative AI technology. Finally, for library data literacy education in the ChatGPT era, it is proposed a data literacy education scheme including seven components such as data understanding, data generation, data collection, data verification, data management, data use and sharing, and data ethics. In conclusion, since generative AI technologies such as ChatGPT are expected to have a significant impact on users' information utilization, libraries should think about the advantages, disadvantages, and problems of these technologies first, and use them as a basis for further improving library information services.

Ethics-Literacy Curriculum Modeling for Ethical Practice of 5G Information Professionals (5G 정보환경 정보전문가를 위한 윤리 리터러시 교육과정 모형연구)

  • Yoo, Sarah
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.33 no.1
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    • pp.139-166
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    • 2022
  • Ethical Issues increase when people engage in smart technological systems such as 5G, IoT, Cloud computing services and AI applications. Range of this research is comparison of various literacy concepts and its ethical issues in considering of 5G features and UX. 86 research papers and reports which have been published within the recent 5 years (2017-2022), relating the research subject, are investigated and analyzed. Two results show that various literacies can be grouped into four areas and that some of common issues among those areas as well as unique issues of each area are identified. Based on the literature analysis, an Operational Definition of Ethics-Literacy is presented and the model of ethics-literacy curriculum supporting ethical behavior of 5G information professionals is developed and suggested.

Analysis of Secondary Curriculum for Core Competency of Data Literacy (데이터 리터러시 핵심 역량 도출을 위한 국내·외 중등 교육과정 내용 분석)

  • JaeRi Jeong;Seong-Won Kim;Youngjun Lee
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.07a
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    • pp.377-380
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    • 2023
  • 본 논문에서는 중등 교육에 적합한 데이터 리터러시 핵심 역량을 도출하기 위해 국내외 중등 교육과정의 내용을 분석하였다. 고등 교육 졸업생들을 대상으로 개발된 기존 데이터 리터러시 역량 프레임워크를 분석 매트릭스로하여 한국, 영국, 호주, 싱가포르, CSTA의 교육과정 내용을 분석한 결과, 중등 교육과정에서 공통적으로 나타나는 역량과 기존 프레임워크에 있으나 중등 교육과정에는 포함되지 않은 역량, 기존 프레임워크에 없지만 중등 교육과정에서 공통적으로 나타나는 내용 등을 확인할 수 있었다.

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Re-approach to the Concept of Data Literacy and Its Application to Library Information Services (데이터 리터러시 개념에 대한 재접근 및 도서관 정보서비스에의 적용)

  • Lee, Jeong-Mee
    • Journal of the Korean Society for Library and Information Science
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    • v.53 no.1
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    • pp.159-179
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    • 2019
  • The purpose of this study is to re-approach the concept of data literacy, to describe the differences with other literacies along with the redefined concept of data literacy. Also, it is tried to find out why and how to use data literacy for library and information services. Research has shown that data literacy plays a central role in interacting with other literacy concepts, and should be understood as a data-driven problem-solving ability that is essential for the future human society. Based on these concept definitions, we propose the application of data literacy to library information service in terms of education service and research support service. In this study, data literacy is defined as the ability to utilize data needed by users in a data - based society, is to explain why data literacy is the ability to utilize data for users in modern society by distinguishing differences from other literacy. This concludes with a discussion and proposal on what library information services can be implemented.

An Exploratory Study on the Establishment and Provision of Universal Literacy for Sustainable Development in the Era of Fake News (가짜뉴스의 시대, 지속가능한 발전을 위한 보편적 리터러시의 구축 및 제공에 대한 실험적 연구)

  • Lee, Jeong-Mee
    • Journal of the Korean Society for Library and Information Science
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    • v.55 no.1
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    • pp.85-106
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    • 2021
  • The purpose of this study is to examine the concept and definition of fake news focusing on misinformation/false information and is to examine the ways in which our society can respond to the distortion of social reality and damage to democracy caused by information distortion such as fake news. To do this, the concept of fake news was examined based on the level of facticity and intention to device, and our social environment in which fake news was created and spread was examined from the perspective of datafication. In this environment, the library community, which plays a pivotal role in human access to and use of information, argued that it should strive to establish and provide universal literacy education in order to realize the Sustainable Development Goals of the UN 2030 agenda. The core of universal literacy education is to understand the society by investigating and analyzing data communication types according to the degree of datafication and the political, economic, social, and cultural background of society. For this reason, it was concluded that universal literacy should be implemented flexibly according to the degree of datafiation and users of each society.

Analyzing the Main Paths and Intellectual Structure of the Data Literacy Research Domain (데이터 리터러시 연구 분야의 주경로와 지적구조 분석)

  • Jae Yun Lee
    • Journal of the Korean Society for information Management
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    • v.40 no.4
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    • pp.403-428
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    • 2023
  • This study investigates the development path and intellectual structure of data literacy research, aiming to identify emerging topics in the field. A comprehensive search for data literacy-related articles on the Web of Science reveals that the field is primarily concentrated in Education & Educational Research and Information Science & Library Science, accounting for nearly 60% of the total. Citation network analysis, employing the PageRank algorithm, identifies key papers with high citation impact across various topics. To accurately trace the development path of data literacy research, an enhanced PageRank main path algorithm is developed, which overcomes the limitations of existing methods confined to the Education & Educational Research field. Keyword bibliographic coupling analysis is employed to unravel the intellectual structure of data literacy research. Utilizing the PNNC algorithm, the detailed structure and clusters of the derived keyword bibliographic coupling network are revealed, including two large clusters, one with two smaller clusters and the other with five smaller clusters. The growth index and mean publishing year of each keyword and cluster are measured to pinpoint emerging topics. The analysis highlights the emergence of critical data literacy for social justice in higher education amidst the ongoing pandemic and the rise of AI chatbots. The enhanced PageRank main path algorithm, developed in this study, demonstrates its effectiveness in identifying parallel research streams developing across different fields.

A Study on Data Literacy Competency Building Measures: Focusing on Research Data Management Education (데이터 리터러시 역량 강화 방안에 관한 연구 - 연구데이터 관리 교육을 중심으로 -)

  • Juseop Kim;Suntae Kim
    • Journal of the Korean Society for Library and Information Science
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    • v.57 no.1
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    • pp.115-137
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    • 2023
  • The purpose of this study is to present a guide for the development of research data management education programs for researchers affiliated with domestic universities and research institutions. In order to present the relevant program guide, first, we investigated and analyzed educational programs for overseas research data management. The educational programs studied and analyzed are RDMRose, RDMLA, DataONE, Digital Research Alliance of Canada, NNLM, PARTHENOS and Coursera. In addition, in order to confirm the appropriateness of the education program, it was reviewed through the detailed competency of data literacy researched in Korea. As a result of the review, most of the detailed competencies for data literacy were satisfied. Finally, a program guide for researchers was presented by synthesizing the research data management education programs that were investigated and analyzed. The results of this study will help develop research data management education programs that can systematically support and activate researchers belonging to universities and institutions.