• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.11a
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• pp.755-755
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• 2017

공공분야에서의 지식생산이라는 국가 R&D사업의 본연의 임무에 사회문제해결이라는 보다 구체적인 요구가 커지고 있다. 취약계층, 노인, 장애인과 같은 사회적 약자들의 삶의 질 개선에 더불어 조류 인플루엔자, 미세먼지오염 등 국민생활에 영향을 주는 사회문제의 해결에 과학기술지식이 기여하라는 사회적 요청이 커지고 있다. 그동안 산업 지원과 학문 발전을 중심으로 발전해오던 국가R&D시스템이 이제는 공공분야에서의 지식생산시스템 격상이라는 과제를 안게 되었다. 정부는 2012년 '신과학기술 프로그램 추진전략(안)'을 통해서 이러한 요구를 수용하기 시작했으며 2014년에 다(多)부처 기획을 통해 11개 사업 분야를 선정하고 사회문제해결을 위한 R&D를 다(多)부처 사업으로서 2015년부터 시작하였다. 또한 과학기술정보통신부(구 미래부)는 단일 부처사업으로서 '사회문제해결형 사업' 을 2104년부터 추진하였다. 논문이나 특허보다는 현장문제의 해결책, 솔루션 생산을 목표로 제시하였으며 현장의 사용자나 시민이 연구개발의 전 과정에 참여하는 리빙랩이라는 새로운 방법론의 적용을 사회문제해결형 R&D사업의 성격으로 제안하였다. 본 연구는 사회문제해결형 R&D라는 이 새로운 시도가 국가R&D 시스템 안에서 어떻게 시행되었는지 NTIS data를 통해서 분석해보고자 한다. 먼저 다부처 기획으로 선정되어 추진된 과제들의 특성, 즉 연구적용분야, 연구 단계 등을 분석하고 단일부처 사업으로 수행된 '사회문제해결형 사업' 및 유사 단일부처 사업 과제들의 특성을 알아본다. 연구수행주체, 연구방법론 등 사회문제해결형 R&D 기획에서 제시한 새로운 방법들의 수행 여부를 알아보고 이를 통해 공공분야 국가R&D 시스템의 발전 및 사회문제해결형 R&D 사업의 향후 발전 방안을 제안한다.

• The Journal of the Korea Contents Association
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• v.16 no.8
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• pp.624-639
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• 2016

Among various types of public research institutes (PRI), the government-funded research institutes (GRIs) are having a difficult time in enhancing the efficiency of technology transfer. This study specifically analyzed 1,163 projects conducted by GRIs from 2009~2013 to ascertain the determinants that affect technology transfer process. Along with conducting qualitative analysis on relevant researches, we examined the hypotheses by relying on quantitative analysis, using national R&D data from National Science and Technology Information Service (NTIS). As a result of the analysis, we found that whether or not the project generated applied patent, the royalty varied. Also, depending on different R&D development stage, a number of researchers and the amount of R&D funding, the royalty varied. Finally, we derived that out of all the independent variables, a number of applied patents, a number of researchers and the amount of R&D funds can affect the royalty generated from technology transfer. Based on such results we suggest several policy implications.

• Journal of Cadastre & Land InformatiX
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• v.50 no.2
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• pp.21-35
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• 2020

Due to the coronavirus pandemic and diplomatic disputes, governments are actively developing a policy to revitalize·reshore manufacturing and to diversify international cooperations. In order to develop such a policy, it is very important to compare and analyze domestic·international geospatial information. Over the decade, the US·EC governments have conducted a series of national researches to build data-based tools that can monitor·analyze regional geospatial information driven by government R&D investments. In the case of the EC system, it can compare geospatial information in domestic and international(including Korea) regions. Compared to US·EC cases, Korean examples of national researches with available data analplatform need future improvements. Current study is investigating an automated analysis methodologies using "National Institute of Science and Technology Information (NTIS)" DB, which was national security data until recently. Research on data-mining regional geospatial information can contribute to support policy fields that need to discover new issues in response to unexpected social problems such as recently faced corona and trade disputes.

• Journal of Korea Technology Innovation Society
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• v.13 no.1
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• pp.1-27
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• 2010

In this paper We analyze the correlation between investment and performance of Korean R&D programs, by six factors diversified, based on evolutionary economics of technology. National Science and Technology Information Service(NTIS) started from March, 2008 was used for collecting investment and performance data of national R&D program. We search the investment cost according to science-technology standard classification of Korea, research conductors, socio-economic objectives and cooperation types per year from 2002 to 2008, and we regard this data as "investment". Similarly, we search the number of papers, patents, commercializations, royalties and so forth according to science technology standard classification of Korea, research organizations, socio-economic objectives and cooperation types per year from 2002 to 2008, and this data is regarded as "performance". We expected analysis results of this investment and performance data confirm the diversified factors to affect advancement of science and technology. And we though, as a result, we will get some meaningful directions of investment of national R&D from the analysis results. But this study has several limitations because we did not consider enough microscopic characteristics of sector or technology, research organizations, cooperation network types, and external effect of social, politic, cultural factors.

• Journal of Korea Technology Innovation Society
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• v.22 no.2
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• pp.207-219
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• 2019

The international trends in activities of government R&D performance measurement is evolving into evidence-based approach to support the verification of objective policy implementation. The European Commission has been implementing KETs (Key Enabling Technologies) policy that incubates nanotech based emerging technologies to support the fourth industrial revolution/revitalization of high-tech manufacturing, and resulting innovations are quantified by KETs Observatory project. The European Commission also built Innovation Radar system that monitors potentially innovative projects within FP7 and Horizon2020 by data analysis. The United States is also upgrading its Federal RePORTER system to quantitatively monitor federal R&D investments with outcomes (including nanotechnology). In the field of Korean nanotechnology, basic statistical data by analyzing NTIS (National Science & Technology Information Service) information is applied in policy field. Developing innovation measurement methodology beyond basic statistical analysis is an international policy issue, and a long-term R&D investment area of a government. The objective of this model study is to quantify the innovation potential of nano R&D investments conducted by Korea government, using input-output based efficiency measurement model and NTIS (National Science & Technology Information Service) that is comprehensive data portal for national R&D investments/outcomes including nanotechnology.

• Journal of Korea Technology Innovation Society
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• v.14 no.2
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• pp.205-222
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• 2011

The Korean government continuously increases the R&D investment in order to pursue an economic growth through technological innovation. Hence, the intensity of governmental R&D has increased rapidly. However, the whole amount of the R&D investment is still small compared to developed countries. And the type of R&D policies is more and more changing from the catch-up model to the technology-driven model. Therefore, there is a growing interest in the efficiency of public R&D investment. Hence, many studies on the efficiency of R&D investment have been researched. This study estimated the efficiency of governmental R&D programs considering the technological outcomes, e.g. theses, patents and so on, using DEA(Data Envelopment Analysis) with data of S&T investment and outcomes from NTIS(National S&D Information Service). In addition, we used the Mann-Whitney Test to investigate the characteristics of governmental R&D investment.

• Journal of Korea Technology Innovation Society
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• v.20 no.4
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• pp.1159-1191
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• 2017

This study considered technology commercialization as a sort of external R&D of the licensee firm. Then, this study analyzed industrial characteristics of technology commercialization and interactions between internal R&D and technology commercialization from the licensee's viewpoint. Data from NTIS (National science and Technology Information Service) and KED (Korea Enterprise Database) were matched. 7,645 technology commercializations from 1,980 firms were extracted. Afterward, OLS and quantile regression were applied to the extracted data. The impact of technology commercialization on firm growth was concentrated to few high-tech and medium high-tech firms. Technology commercialization was effective in the growth in a year while internal R&D was effective in the growth in two years. The firm size was insiginificant variable. In analysis of 4 selected industries (automobile, electronics, semiconductor, chemistry), the impact was skewed among industries. Though the importance of technology commercialization is widely acknowledged, quantitative analyses like this study are uncommon. Therefore, this study can be useful for the tailored industry solutions for technology commercialization.

• Journal of Intelligence and Information Systems
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• v.21 no.4
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• pp.79-92
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• 2015

Knowledge map is widely used to represent knowledge in many domains. This paper presents a method of integrating the national R&D data and assists of users to navigate the integrated data via using a knowledge map service. The knowledge map service is built by using a lightweight ontology and a topic modeling method. The national R&D data is integrated with the research project as its center, i.e., the other R&D data such as research papers, patents, and reports are connected with the research project as its outputs. The lightweight ontology is used to represent the simple relationships between the integrated data such as project-outputs relationships, document-author relationships, and document-topic relationships. Knowledge map enables us to infer further relationships such as co-author and co-topic relationships. To extract the relationships between the integrated data, a Relational Data-to-Triples transformer is implemented. Also, a topic modeling approach is introduced to extract the document-topic relationships. A triple store is used to manage and process the ontology data while preserving the network characteristics of knowledge map service. Knowledge map can be divided into two types: one is a knowledge map used in the area of knowledge management to store, manage and process the organizations' data as knowledge, the other is a knowledge map for analyzing and representing knowledge extracted from the science & technology documents. This research focuses on the latter one. In this research, a knowledge map service is introduced for integrating the national R&D data obtained from National Digital Science Library (NDSL) and National Science & Technology Information Service (NTIS), which are two major repository and service of national R&D data servicing in Korea. A lightweight ontology is used to design and build a knowledge map. Using the lightweight ontology enables us to represent and process knowledge as a simple network and it fits in with the knowledge navigation and visualization characteristics of the knowledge map. The lightweight ontology is used to represent the entities and their relationships in the knowledge maps, and an ontology repository is created to store and process the ontology. In the ontologies, researchers are implicitly connected by the national R&D data as the author relationships and the performer relationships. A knowledge map for displaying researchers' network is created, and the researchers' network is created by the co-authoring relationships of the national R&D documents and the co-participation relationships of the national R&D projects. To sum up, a knowledge map-service system based on topic modeling and ontology is introduced for processing knowledge about the national R&D data such as research projects, papers, patent, project reports, and Global Trends Briefing (GTB) data. The system has goals 1) to integrate the national R&D data obtained from NDSL and NTIS, 2) to provide a semantic & topic based information search on the integrated data, and 3) to provide a knowledge map services based on the semantic analysis and knowledge processing. The S&T information such as research papers, research reports, patents and GTB are daily updated from NDSL, and the R&D projects information including their participants and output information are updated from the NTIS. The S&T information and the national R&D information are obtained and integrated to the integrated database. Knowledge base is constructed by transforming the relational data into triples referencing R&D ontology. In addition, a topic modeling method is employed to extract the relationships between the S&T documents and topic keyword/s representing the documents. The topic modeling approach enables us to extract the relationships and topic keyword/s based on the semantics, not based on the simple keyword/s. Lastly, we show an experiment on the construction of the integrated knowledge base using the lightweight ontology and topic modeling, and the knowledge map services created based on the knowledge base are also introduced.

• Journal of Korea Technology Innovation Society
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• v.15 no.2
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• pp.443-460
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• 2012

Technology is closely related to industrial development and various studies have been performed to understand the linked structure for knowledge flow between the technology and industry. The research, however, wasn't carried out to flow for Korea National Research and Development projects. In this study, linked structure for technology-industry was discussed by utilizing patent data performed in actual National R&D using NTIS Information of the national research and development, and then it was analyzed how knowledge flows between the technology and industry are flowing. It should be defined that the individual applications expected by researchers at the start of the research and technology-industry applications actually applied from the research performances after research was completed. As a result, it was confirmed in most projects the flow of knowledge was occurring to predicted industries before the start of the R&D. However, the technology was applied to unexpected industry in three industries such as Y09(medical, precision and optical instruments), Y10(electrical and mechanical equipment), Y11(automotive and transportation equipment). The results of this study will be able to contribute to planning for efficient investment strategy of technology-industry by investigating the technology-industry knowledge flow relations of national R&D projects.

• Journal of Information Management
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• v.36 no.4
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• pp.155-174
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• 2005

Recently, under the pressure of national necessity, the national S&T information system(NTIS) for collecting, managing and distributing various R&D information is under discussion. The close inter-connections and cooperations among elements in R&D process, activity, information and data levels are the basis of national S&T information system. In this paper, we propose a cross reference model of R&D information. The proposed model includes research project, person and output information which are essential in the R&D activities. By using the proposed model, a cross navigating and referencing among R&D information is possible. And various queries on the models from various viewpoints are also possible. XML Topic Map, ISO13250 Standard, is used for development of the proposed model. The efficiencies and further practical usages of proposed model are discussed by demonstrating the proposed model with an example.