• Title/Summary/Keyword: open data

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A Study on the Way for Quality Improvement of International Trade Information (무역정보의 품질제고방안에 관한 연구)

  • AHN, Byung-Soo
    • THE INTERNATIONAL COMMERCE & LAW REVIEW
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    • v.69
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    • pp.633-654
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    • 2016
  • Recently open data has been spread rapidly in the world include Korea. Accordingly in international trade field open data and using it became a key point to get competitiveness. In this study, the author make an attempt to suggest the way for quality improvement of international trade information by looking for some problems with crating and using the information. Thus, the problems of using information are can be point out as follows. Firstly the range of open data is narrow. Secondly the management of the open data is not conducted properly. Thirdly the suppliers of the open data didn't prepare some investigation system for their data's usability for user. Expansion of the organizations who open data is one way to solve quantitative problem. There are four suggestions to solve qualitative problems. Firstly the guidelines should be established and operated in each organizations respectively. Secondly the criterion of expenses for open data should be arranged among the concerned parties. Thirdly the ability of the manpower and organization who charged in the quality improvement of information should be reinforced both quantitatively and qualitatively. Lastly the system for data usability for user should be equipped in early stages. Finally the author emphasize the establishment of total management system for using open data in international trade is not needed only the efforts of the specific parties but also all parties led by Ministry of Industry, Trade and Energy in order to carry out above suggestions successfully.

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The Influence of Open Data Policies on Public Innovation (공공데이터 개방 정책이 공공 혁신에 미치는 영향에 관한 연구)

  • Lim, Junwon;Choi, Gyunghyun
    • Journal of Korean Institute of Industrial Engineers
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    • v.43 no.1
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    • pp.19-29
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    • 2017
  • Nowadays, the policy of open data disclosure has become one of the globally used tools for public innovation. For this reason, this study investigates whether the policy has eventually created the achievement of public innovation in Korea. To this end, this study evaluates qualities of the fourteen thousand open data in Korea that is disclosed to the public and compares it with indexes such as the usage of data, transparency index, and Government 3.0 Excellency Index, which are regarded as the outcome of the disclosure. Based on the result, this study aims to suggest future orientation for the policy.

Conversations about Open Data on Twitter

  • Jalali, Seyed Mohammad Jafar;Park, Han Woo
    • International Journal of Contents
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    • v.13 no.1
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    • pp.31-37
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    • 2017
  • Using the network analysis method, this study investigates the communication structure of Open Data on the Twitter sphere. It addresses the communication path by mapping influential activities and comparing the contents of tweets about Open Data. In the years 2015 and 2016, the NodeXL software was applied to collect tweets from the Twitter network, containing the term "opendata". The structural patterns of social media communication were analyzed through several network characteristics. The results indicate that the most common activities on the Twitter network are related to the subjects such as new applications and new technologies in Open Data. The study is the first to focus on the structural and informational pattern of Open Data based on social network analysis and content analysis. It will help researchers, activists, and policy-makers to come up with a major realization of the pattern of Open Data through Twitter.

Quality Characteristics of Public Open Data (공공개방데이터 품질 특성에 관한 연구)

  • Park, Go-Eun;Kim, Chang-Jae
    • Journal of Digital Convergence
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    • v.13 no.10
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    • pp.135-146
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    • 2015
  • Public data open is one of the important tasks of Korea Government 3.0. By making open data available to the private sector, the goal is to create jobs, increase innovation and improve quality of life. Public data open is a policy that emphasized its importance worldwide. Open data should have adequate quality in order to achieve the object of the public. However, there are open data's quality problems due to the lack of data quality management and standardization. The purpose of this study is to derive data characteristics of public open data from existing researches. In addition, the model was modified and verified through a survey targeting the experts on public open data. The study indicates that public open data's quality characteristics as publicity, usability, reliability, suitability. This study is significant in that it suggests quality characteristics to improve the data quality and promote utilization of the open data.

Platform Business and Value Creation: Using Public Open Data (플랫폼 비즈니스와 가치 창출: 개방형 공공데이터 활용)

  • Han, Junghee
    • Knowledge Management Research
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    • v.20 no.1
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    • pp.155-174
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    • 2019
  • Variety of data have been opened or connected by several levels of government. In smart city initiatives, open data become the source of a new business model. This paper is to foster ways of public open data (POD) by analyzing the start-up company that utilizes POD. In order to fulfill it, this paper adapts the case study research. Findings say that POD has potential to validate and further enrich the platform business. But to find which types of public open data are most prevalent is insufficient. To do this, it is more needed that sophisticated and many cases should be examined. However, this paper shows that platform business by using POD could lead to reduce the cost and increase the benefits for both providers and customers. From the findings, this paper shows that public open data has an important role not only to boost new venture creations which are prevalent ways of smart city but also to foster different platforms enabling new value capture and creation according to development of internet of things based on ICT technology.

Modeling and Implementation of Public Open Data in NoSQL Database

  • Min, Meekyung
    • International Journal of Internet, Broadcasting and Communication
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    • v.10 no.3
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    • pp.51-58
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    • 2018
  • In order to utilize various data provided by Korea public open data portal, data should be systematically managed using a database. Since the range of open data is enormous, and the amount of data continues to increase, it is preferable to use a database capable of processing big data in order to analyze and utilize the data. This paper proposes data modeling and implementation method suitable for public data. The target data is subway related data provided by the public open data portal. Schema of the public data related to Seoul metro stations are analyzed and problems of the schema are presented. To solve these problems, this paper proposes a method to normalize and structure the subway data and model it in NoSQL database. In addition, the implementation result is shown by using MongDB which is a document-based database capable of processing big data.

Learning Framework based on Public Open Data for Workplace Etiquette Education (직장예절교육용 공공개방데이터를 활용한 학습 프레임워크)

  • Kim, Yuri
    • Knowledge Management Research
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    • v.19 no.1
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    • pp.133-146
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    • 2018
  • This study develops an Education framework for users who need public open data for workplace etiquette education in a timely manner by mobile application. It facilitates utilizing efficiently Workplace etiquette contents that scattered in various platforms such as blogs, Youtube and web-sites run by private education agencies. Furthermore, it makes Public open data for workplace etiquette through gathering 'metadata', which is a comprehensive source of workplace etiquette. Accordingly, framework changes recognition about necessity of workplace etiquette education positively and suggests method that can promote effective workplace etiquette education. If the system in the study can provide public open data of workplace etiquette education, many young job applicants and workers will have a proper perception on it and sound workplace etiquette culture will be settled in the companies. Public data has been rising as a vital national strategic asset these days. Hopefully the public data will pave a way to discover the blue ocean in the market and open up a new type of businesses.

Equivalence Heuristics for Malleability-Aware Skylines

  • Lofi, Christoph;Balke, Wolf-Tilo;Guntzer, Ulrich
    • Journal of Computing Science and Engineering
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    • v.6 no.3
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    • pp.207-218
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    • 2012
  • In recent years, the skyline query paradigm has been established as a reliable method for database query personalization. While early efficiency problems have been solved by sophisticated algorithms and advanced indexing, new challenges in skyline retrieval effectiveness continuously arise. In particular, the rise of the Semantic Web and linked open data leads to personalization issues where skyline queries cannot be applied easily. We addressed the special challenges presented by linked open data in previous work; and now further extend this work, with a heuristic workflow to boost efficiency. This is necessary; because the new view on linked open data dominance has serious implications for the efficiency of the actual skyline computation, since transitivity of the dominance relationships is no longer granted. Therefore, our contributions in this paper can be summarized as: we present an intuitive skyline query paradigm to deal with linked open data; we provide an effective dominance definition, and establish its theoretical properties; we develop innovative skyline algorithms to deal with the resulting challenges; and we design efficient heuristics for the case of predicate equivalences that may often happen in linked open data. We extensively evaluate our new algorithms with respect to performance, and the enriched skyline semantics.

An Open Science 'State of the Art' for Hong Kong: Making Open Research Data Available to Support Hong Kong Innovation Policy

  • Sharif, Naubahar;Ritter, Waltraut;Davidson, Robert L;Edmunds, Scott C
    • Journal of Contemporary Eastern Asia
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    • v.17 no.2
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    • pp.200-221
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    • 2018
  • Open Science is an umbrella term that involves various movements aiming to remove the barriers to sharing any kind of output, resources, methods or tools at any stage of the research process. While the study of open science is relatively advanced in Western countries, we know of no scholarship that attempts to understand open science in Hong Kong. This paper provides a broad-based background on the major research data management organisations, policies and institutions with the intention of laying a foundation for more rigorous future research that quantifies the benefits of open access and open data policies. We explore the status and prospects for open science (open access and open data) in the context of Hong Kong and how open science can contribute to innovation in Hong Kong. Surveying Hong Kong's policies and players, we identify both lost research potential and provide positive examples of Hong Kong's contribution to scientific research. Finally, we offer suggestions regarding what changes can be made to address the gaps we identify.

SNS Operation Status Analysis and Improvement Plan for Facilitating of Use of Open Data Portal (공공데이터포털 이용 활성화를 위한 SNS 운용현황 및 개선방안)

  • Hwang, Sung-Wook;Jung, Yeyong;Kim, Soojung;Oh, Hyo-Jung
    • Journal of the Korean Society for information Management
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    • v.37 no.2
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    • pp.23-45
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    • 2020
  • The world is paying attention to the South Korean government's aggressive COVID-19 response, key of which is transparency and openness in sharing information. Opening up government information is essential to enhancing its social and economic value through increased awareness and accessibility. The purpose of this study is to investigate the current status of SNS operated by national open data portals in which government-collected and -disclosed data is available and to suggest improvements for the use of open data portals. To do this, the study compared 3 national open data portals, each from India, U.S.A, and Korea, by performing quantitative analysis, user feedback analysis, time-series analysis, and information type analysis. Based on the identified information types and user needs, the study suggests concrete ways to facilitate the use of open data portals.