• Genomics & Informatics
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• 제4권4호
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• pp.170-172
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• 2006

ESTin is an easy-to-use tool that allows EST researchers to build a dbEST submission file with EST sequences and related data. The advantages of ESTin are its user-friendly interface, various editing functions, and rigorous validation function.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제5권10호
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• pp.1830-1840
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• 2011

CDISC (Clinical Data Interchanging Standards Consortium) standards are to support the acquisition, exchange, submission and archival of clinical trial and research data. SDTM (Study Data Tabulation Model) for Case Report Forms (CRFs) was recommended for U.S. Food and Drug Administration (FDA) regulatory submissions since 2004. Although the SDTM Implementation Guide gives a standardized and predefined collection of submission metadata 'domains' containing extensive variable collections, transforming CRFs to SDTM files for FDA submission is still a very hard and time-consuming task. For addressing this issue, we developed metadata based SDTM mapping rules. Using these mapping rules, we also developed a semi-automatic tool, named CDISC Transformer, for transforming clinical trial data to CDISC standard compliant data. The performance of CDISC Transformer with or without MDR support was evaluated using CDISC blank CRF as the 'gold standard'. Both MDR and user inquiry-supported transformation substantially improved the accuracy of our transformation rules. CDISC Transformer will greatly reduce the workloads and enhance standardized data entry and integration for clinical trial and research in various healthcare domains.

• 산업경영시스템학회지
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• 제41권4호
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• pp.189-195
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• 2018

With the advent of the digital age, production and distribution of web pages has been exploding. Internet users frequently need to extract specific information they want from these vast web pages. However, it takes lots of time and effort for users to find a specific information in many web pages. While search engines that are commonly used provide users with web pages containing the information they are looking for on the Internet, additional time and efforts are required to find the specific information among extensive search results. Therefore, it is necessary to develop algorithms that can automatically extract specific information in web pages. Every year, thousands of international conference are held all over the world. Each international conference has a website and provides general information for the conference such as the date of the event, the venue, greeting, the abstract submission deadline for a paper, the date of the registration, etc. It is not easy for researchers to catch the abstract submission deadline quickly because it is displayed in various formats from conference to conference and frequently updated. This study focuses on the issue of extracting abstract submission deadlines from International conference websites. In this study, we use three machine learning models such as SVM, decision trees, and artificial neural network to develop algorithms to extract an abstract submission deadline in an international conference website. Performances of the suggested algorithms are evaluated using 2,200 conference websites.

• 한국산업보건학회지
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• 제33권3호
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• pp.265-272
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• 2023

Objectives: Since the material safety data sheets(MSDS) submission and non-disclosure review system was introduced in January 2021, the implementation status of MSDS for chemical manufacturing and importing workplaces being supervised for the first time. Methods: A supervisory team consisting of two labor inspectors and one from the Korea Occupational Safety and Health Agency directly visited the selected workplaces to check compliance with the MSDS system as a whole. Results: As a result of supervising 214 chemical substance manufacturing/importing workplaces, a total of 241 violations of the law were found in 121 workplaces, or 57% of them. In response, the Ministry of Employment and Labor took legal action on 8 cases in 6 locations, imposed a fines totaling of 249.69 million won on 120 chemical handling workplaces, and took action to correct the violations immediately. Conclusions: Major violations were in the order of non-request for warning signs, non-submission of MSDS, non-execution of MSDS training, and non-posting of MSDS. This shows the reality that employers who handle chemical substances are sufficiently communicating chemical information to workers. In the future, the government will actively implement preparation and submission support and system guidance for the implementation of the MSDS system, while making efforts to ensure that the MSDS system works well in the field through thorough on-site supervision in the future.

• 시큐리티연구
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• 제61호
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• pp.333-352
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• 2019

2019년 1월과 8월 영업비밀보호법과 산업기술보호법의 각각의 개정이 있었다. 이들 법률의 개정은 기술 보호에 크게 기여할 것으로 보인다. 그러나 민·형사적 구제와 관련하여 몇 가지 더 보완되어야 할 사항이 있다. 민사구제 분야와 관련하여 영업비밀보호법과 산업기술보호법의 경우 3배 손해배상 도입에도 불구하고, 입증자료제출과 관련된 규정은 정비가 되지 못한 상태이다. 따라서 입증자료의 제출 범위 확대, 손해액 산정을 위한 서류인 경우의 제출 강제, 서류제출 명령을 따르지 않는 경우 상대방의 주장을 진실한 것으로 인정하는 등 개정 특허법의 수준으로 정비될 필요가 있다. 한편 산업기술보호법은 손해배상규정이 도입되었지만, 손해액 추정규정이 없는 상태이므로, 일실이익·이익액·로열티 상당액에 대한 추정규정이 필요하다. 형사구제와 관련하여서는 영업비밀보호법과 산업기술보호법 모두 형벌의 상향화는 이루어졌지만 양형규정이 정비되지 못하고 있으므로 이의 정비가 필요하다. 또한 최근의 기술유출은 개인의 일탈을 넘어 조직적인 유출로 확대되고 있음에도 불구하고 이에 가담한 기업 등 관련 법인의 처벌에 대한 중과(重課)와 관련하여 개정이 필요하다. 일본과 미국의 경우 법인 중과 규정을 두고 있다는 점을 참고하여야 할 것이다. 또한 몰수제도와 관련하여서는 범죄수익은닉규제법에서는 방위산업기술은 국내유출도 몰수의 대상으로 하고 있는 반면에, 영업비밀과 산업기술은 '국외'유출만 몰수의 대상으로 하고 있으므로 이의 개정도 필요하다.

• 자동차안전학회지
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• 제7권4호
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• pp.20-25
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• 2015

The basic point of a vehicle recall is to remove vehicle defects as soon as possible and thus prevent possible road traffic accidents caused by the defects beforehand. Therefore, the core of vehicle recall under the self-certification system consists of a timely response and fast remedy of defects. The present study aimed to deduce a plan for improvement of the system necessary for the fast remedy of defects through a phased analysis of defect investigation procedure based on defect investigation statistical data. There will be a need to make the TSB(Technical Service Bulletin) or service campaign data submission of a manufacturer compulsory for the collection of broad defect information in the stage of information analysis and to impose a higher penalty when the manufacturer violates the data submission in the investigation stage. In addition, it is considered that an active service campaign should be induced and a punishment for late recall will be needed for consumer protection.

• 연구윤리
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• 제1권2호
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• pp.1-5
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• 2020

Purpose: The purpose of this paper is to identify the most common misconducts in publication ethics, to demonstrate KODISA journals' management of the misconducts, and to share the findings with future and potential authors of Journal of Research and Publication Ethics (JRPE). Research design, data and methodology: This is an analytical study that explores and examines research and publication ethics and misconducts. Results: Based on literature review, major publication misconducts that many academic journals had to contend with over the years encompass unethical authorship, including ghost, guest, and gift authorships, data falsification and fabrication, plagiarism, including self-plagiarism, submission and publication fraud (multiple submission and publication), and potential conflicts of interest. Conclusions: KODISA and its journals have strived and done great work in making the journals transparent and in combatting the issues associated with plagiarism, including self-plagiarism. However, it seems there is no mechanism to detect or deter unethical authorship, conflicts of interest, and fabrication and falsification misconducts. The inception of JRPE signifies how KODISA and its journals continuously view research and publication ethics as their foremost important factor in maintaining and improving the academic journals. The future research and scholastic manuscripts of JRPE could provide necessary and updated information about research and publication ethics, practices, and misconducts.

• 보건의료산업학회지
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• 제14권1호
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• pp.195-209
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• 2020

Objectives: This study aimed to analyze the papers in the Korean Journal of Health Service Management (KJHSM) (2007-2018) in order to identify the research trends and aid the future development of healthcare-related research. Methods: Data collection was conducted from September 1-30, 2019. The KSHSM website and Lorea Citatin Index (KCI) electronic database provided 605 copies of original text. Results: Of these, 538 studies are original articles and 7 studies are review articles; 23.7% of the studies presented conceptual framework, 58.4% implemented convenience extraction, and 64.7% collected data using questionnaires. 29.3% of key words were included in the healthcare service, and 48.5% were excluded from the submission field. Conclusions: For the qualitative improvement and development of the journal, it is necessary to consider the relevance of refinement of the methodological approach, segmentation in the field of submission, and selection of keywords.

• International Journal of Knowledge Content Development & Technology
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• 제14권1호
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• pp.75-110
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• 2024

The study was meant to examine electronic theses and dissertations' development in Nigerian federal university libraries. The study adopted descriptive survey research design. The study population comprised forty-eight institutional repository librarians in eighteen Nigerian federal university libraries. The sample consisted of forty three librarians. A questionnaire was used for data collection. The data collected were analyzed with mean and standard deviation. Findings reveal that the policies available for developing electronic theses and dissertations (ETDs) in the libraries require submission of electronic copies of theses and dissertations by students, participation of digital/IR librarians in ETD development and provision of free access to ETDs; the libraries comply with standards of Open Archives Initiative Protocol for Metadata Harvesting and Search/Retrieval via URL using DSpace for building ETDs and taking advantage of such available ICT facilities as computers, scanners, CD-ROM, LAN, internet connectivity and printer. The libraries achieve ETD through digitisation, mandating submission of electronic versions of TDs by students and creation of IR. However, the process is hindered by technological obsolescence, financial problems, absence of clearly-defined ETD development policy, required ICT facilities and trained staff, copyright, irregular power supply and unstable internet connectivity. This study represents a fresh empirical investigation into electronic theses and dissertations' development in federal university libraries in Nigeria.

• Journal of Information Science Theory and Practice
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• 제7권3호
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• pp.6-20
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• 2019

Learning analytics, or educational data mining, is an emerging field that applies data mining methods and tools for the exploitation of data coming from educational environments. Learning management systems, like Moodle, offer large amounts of data concerning students' activity, performance, behavior, and interaction with their peers and their tutors. The analysis of these data can be elaborated to make decisions that will assist stakeholders (students, faculty, and administration) to elevate the learning process in higher education. In this work, the power of Excel is exploited to analyze data in Moodle, utilizing an e-learning course developed for enhancing the information computer technology skills of school teachers in primary and secondary education in Greece. Moodle log files are appropriately manipulated in order to trace daily and weekly activity of the learners concerning distribution of access to resources, forum participation, and quizzes and assignments submission. Learners' activity was visualized for every hour of the day and for every day of the week. The visualization of access to every activity or resource during the course is also obtained. In this fashion teachers can schedule online synchronous lectures or discussions more effectively in order to maximize the learners' participation. Results depict the interest of learners for each structural component, their dedication to the course, their participation in the fora, and how it affects the submission of quizzes and assignments. Instructional designers may take advice and redesign the course according to the popularity of the educational material and learners' dedication. Moreover, the final grade of the learners is predicted according to their previous grades using multiple linear regression and sensitivity analysis. These outcomes can be suitably exploited in order for instructors to improve the design of their courses, faculty to alter their educational methodology, and administration to make decisions that will improve the educational services provided.