• Title/Summary/Keyword: research data

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A Study on the OpenURL META-TAG of Observation Research Data for Metadata Interoperability (관측분야 과학데이터 관련 메타데이터 상호운용성 확보를 위한 OpenURL 메타태그 연구)

  • Kim, Sun-Tae;Lee, Tae-Young
    • Journal of Information Management
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    • v.42 no.3
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    • pp.147-165
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    • 2011
  • This paper presents a core meta-tag of OpenURL written in Key/Encoded-Value format in the field of observation research, to distribute the scientific data, produced in many experimentations and observations, on the OpenURL service architecture. So far, the OpenURL hasn't supplied a meta-tag represented scientific data because it has focused on circulation of scholarly and technological information extracted from thesis, proceedings, journals, literatures, etc. The DataCite consortium metadata were analyzed and compared with the Dublin Core metadata, OECD metadata, and Directory Interchange Format metadata to develop a core meta-tag in observation research.

A Study on Policy Components of Data Access and Use Controls in Research Data Repositories (연구데이터 레포지터리의 데이터 접근 및 이용 통제 정책 요소에 관한 연구)

  • Kim, Jihyun
    • Journal of Korean Library and Information Science Society
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    • v.47 no.3
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    • pp.213-239
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    • 2016
  • As Open Data has been emphasized globally, discussions on data policies have occurred for minimizing problems resulting from data sharing and reuse. This study aimed at investigating policy components for controlling access and use of data and examining similarities and differences of the policy components across disciplines. For the purpose, the study analyzed policy components for data access and use controls provided by 37 research data repositories overseas. These included twenty repositories in biological and health science, ten in chemistry, earth and environmental science and physics, as well as seven in social science and general science. The analysis showed that common policy components involve copyright/licenses, data citation, disclaimers and embargoes. However, there were differences in diversity of policy components among the disciplines and it indicated that the rationales of access and use controls emphasized would be different in the disciplines.

An Unified Spatial Index and Visualization Method for the Trajectory and Grid Queries in Internet of Things

  • Han, Jinju;Na, Chul-Won;Lee, Dahee;Lee, Do-Hoon;On, Byung-Won;Lee, Ryong;Park, Min-Woo;Lee, Sang-Hwan
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.9
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    • pp.83-95
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    • 2019
  • Recently, a variety of IoT data is collected by attaching geosensors to many vehicles that are on the road. IoT data basically has time and space information and is composed of various data such as temperature, humidity, fine dust, Co2, etc. Although a certain sensor data can be retrieved using time, latitude and longitude, which are keys to the IoT data, advanced search engines for IoT data to handle high-level user queries are still limited. There is also a problem with searching large amounts of IoT data without generating indexes, which wastes a great deal of time through sequential scans. In this paper, we propose a unified spatial index model that handles both grid and trajectory queries using a cell-based space-filling curve method. also it presents a visualization method that helps user grasp intuitively. The Trajectory query is to aggregate the traffic of the trajectory cells passed by taxi on the road searched by the user. The grid query is to find the cells on the road searched by the user and to aggregate the fine dust. Based on the generated spatial index, the user interface quickly summarizes the trajectory and grid queries for specific road and all roads, and proposes a Web-based prototype system that can be analyzed intuitively through road and heat map visualization.

A Study on the Appraisal of Research Records in Science and Technology : Focusing on Foreign Cases (과학기술분야 연구기록의 평가에 관한 연구)

  • Lee, Mi-Young
    • The Korean Journal of Archival Studies
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    • no.41
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    • pp.75-111
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    • 2014
  • With the quantitative growth of research data, the issue of enormous preservation cost and sharing expansion, the organizations should prioritize the collections then select the data that are worthy of save. Therefore, today, it is important for the organizations to appraise the continuing value of produced records. Considering the universities and the public institutions such as governmentfunded research institutes as the heavy producer of the data, it becomes a rising problem for the records management that it does not go beyond the framework of "administrative records" and "public records". In this study, I looked into the background of the contention that the research records must be managed in a different perspective and checked the characteristics of research records in therms of the producers, research activities and records. Based on this analysis, I suggested the main issues and considerations about the subjects, criterias and methods in research records appraisal.

Adaptive Counting Line Detection for Traffic Analysis in CCTV Videos (CCTV영상 내 교통량 분석을 위한 적응적 계수선 검출 방법)

  • Jung, Hyeonseok;Lim, Seokjae;Lee, Ryong;Park, Minwoo;Lee, Sang-Hwan;Kim, Wonjun
    • Journal of Broadcast Engineering
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    • v.25 no.1
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    • pp.48-57
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    • 2020
  • Recently, with the rapid development of image recognition technology, the demand for object analysis in road CCTV videos is increasing. In this paper, we propose a method that can adaptively find the counting line for traffic analysis in road CCTV videos. First, vehicles on the road are detected, and the corresponding positions of the detected vehicles are modeled as the two-dimensional pointwise Gaussian map. The paths of vehicles are estimated by accumulating pointwise Gaussian maps on successive video frames. Then, we apply clustering and linear regression to the accumulated Gaussian map to find the principal direction of the road, which is highly relevant to the counting line. Experimental results show that the proposed method for detecting the counting line is effective in various situations.

A Novel Vehicle Counting Method using Accumulated Movement Analysis (누적 이동량 분석을 통한 영상 기반 차량 통행량 측정 방법)

  • Lim, Seokjae;Jung, Hyeonseok;Kim, Wonjun;Lee, Ryong;Park, Minwoo;Lee, Sang-Hwan
    • Journal of Broadcast Engineering
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    • v.25 no.1
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    • pp.83-93
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    • 2020
  • With the rapid increase of vehicles, various traffic problems, e.g., car crashes, traffic congestions, etc, frequently occur in the road environment of the urban area. To overcome such traffic problems, intelligent transportation systems have been developed with a traffic flow analysis. The traffic flow, which can be estimated by the vehicle counting scheme, plays an important role to manage and control the urban traffic. In this paper, we propose a novel vehicle counting method based on predicted centers of each lane. Specifically, the centers of each lane are detected by using the accumulated movement of vehicles and its filtered responses. The number of vehicles, which pass through extracted centers, is counted by checking the closest trajectories of the corresponding vehicles. Various experimental results on road CCTV videos demonstrate that the proposed method is effective for vehicle counting.

An Investigation on Characteristics and Intellectual Structure of Sociology by Analyzing Cited Data (사회학 분야의 연구데이터 특성과 지적구조 규명에 관한 연구)

  • Choi, Hyung Wook;Chung, EunKyung
    • Journal of the Korean Society for information Management
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    • v.34 no.3
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    • pp.109-124
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    • 2017
  • Through a wide variety of disciplines, practices on data access and re-use have been increased recently. In fact, there has been an emerging phenomenon that researchers tend to use the data sets produced by other researchers and give scholarly credit as citation. With respect to this practice, in 2012, Thomson Reuters launched Data Citation Index (DCI). With the DCI, citation to research data published by researchers are collected and analyzed in a similar way for citation to journal articles. The purpose of this study is to identify the characteristics and intellectual structure of sociology field based on research data, which is one of actively data-citing fields. To accomplish this purpose, two data sets were collected and analyzed. First, from DCI, a total of 8,365 data were collected in the field of sociology. Second, a total of 12,132 data were collected from Web of Science with a topic search with 'Sociology'. As a result of the co-word analysis of author provided-keywords for both data sets, the intellectual structure of research data-based sociology was composed of two areas and 15 clusters and that of article-based sociology was composed with three areas and 17 clusters. More importantly, medical science area was found to be actively studied in research data-based sociology and public health and psychology are identified to be central areas from data citation.

A Study on University Researchers' Data Management Practices (대학 내 연구자들의 연구데이터 관리에 관한 연구)

  • Kim, Jihyun
    • Journal of Korean Library and Information Science Society
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    • v.43 no.3
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    • pp.433-455
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    • 2012
  • This study examined research data management practices from the perspectives of university researchers. A survey was conducted for principal investigators of projects in universities selected to be funded by National Research Foundation in 2010 and 2011. Predicated on the analysis of 131 survey responses, there was a great difference in types of research data between Humanities & Social Science fields and Science, Medicine and Engineering fields. Most respondents added value of their data by linking to other types of information or combining data from other sources. For storing data, PC or portable media were generally employed, and around 80% of respondents saw their data having a useful life under 10 years. Data was shared within research team and with outside researchers who requested data. The percentage of respondents who have reused data was higher than that of respondents who have shared data. In order to obtain data for reuse, the majority of respondents drew data from published articles, or contacted data creators. In most cases, mechanisms for managing data did not exist in projects or universities where respondents belong. Since the level of satisfaction with long-term preservation and metadata description of research data was found to be low, it was necessary to develop data archiving services to support the data management procedures.

The Study on the Fashion Style of Presidential Candidates in Korea - Focusing on 16-18 Election - (한국 대선후보자의 패션스타일 연구 - 16-18 대선을 중심으로 -)

  • Lee, Ene-Sook;Chang, Geunghae
    • Journal of the Korea Fashion and Costume Design Association
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    • v.18 no.3
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    • pp.113-127
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    • 2016
  • This study was aimed to analyzing the fashion style worn during the election campaign in the 16-18 Korea presidential candidates. In order to derive a comprehensive fashion style of each candidate it was classified as outfits, items, colors, patterns, accessories and the like. Research data was collected through literature, newspapers, Internet sites, etc., and SPSS statistical package was performed. In research data, 16 presidential candidates photographs were 87, 17 presidential candidates photographs were 82, 18 presidential candidates photographs were 155 as photograph by exposure to the media during each presidential campaign. The results of this study are as follows: In the fashion style of presidential candidates, male candidates mainly dressed in a tie and suit, but the 18 candidates dressed in casual wear unlike previous candidates. In tie color, 16 appeared in the red series, 17 election and 18 election appeared in blue series. Female candidate, Park Geun-hye candidate dressed in the combination of a jacket and blouse and pants. Therefore fashion style of presidential candidates got a strong symbolic image functions as political lines, ideologies, beliefs, and the campaign promises. Because describing the fashion style of candidates based on the statistical result, it requires attention to generalization.

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