데이터 법제의 분류체계 정립을 위한 시론적 검토

김원오 충북대학교 법학연구소 2022 과학기술과 법 Vol.13 No.2

Data law is a new legal field that has emerged as the legal system is internally differentiated in line with the complex and innovative changes of modern society, especially informatization and digital transformation. As a result, unlike the traditional 'Pandekten Law' system in which public law, civil law, and criminal law are clearly distinguished, in the data law, public law and private law, civil law and criminal law, and substantive law and procedural law are not divided, but coexist, centering on data regulatory system. Therefore, efforts are required to establish a classification system for data related laws. This paper first examines the categories of data law and it’s process of formation and development. Firstly, the essence of data and the definition of data defined in major laws are comprehensively reviewed, and then the rights related to data and common characteristics of data laws are considered based on understanding the theoretical meaning of data laws & regulation. Through this, we search for and categorize laws that can belong to the category of data law, and establish a system. The starting point for the formation of the Data Act is found in the initial unique identification information establishment and management and Information Disclosure Act, such as the Resident Registration Act, and the formation process of legislation for the protection of information and data is also examined. Then, with the advent of legislation in the information age when e-government progressed and data use and utilization laws, we will summarize how the data law system has developed through consideration of the laws of the period when the differentiation of data law occurred in earnest. Second, a comprehensive look at the legal regulatory system for data. Firstly, the current status of major data laws will be reviewed based on the traditional classification of public and private law, general law and special law, and the overview of the national data governance system and the differences in the regulatory system by data type will be reviewed. Third, based on this review, a preliminary review for the classification of data laws will be conducted. Data regulatory system is examined from various angles in terms of protection, promotion, and regulation, and at the same time, it is divided into general law and special law, domestic law and international law, data public law and data private law, and data protection law and data utilization law to ensure the systematicity and consistency of the regulatory system. Let's take a comprehensive look at the classification system that can be improved.

사회복지 데이터관리와 법제방향

배유진,최승원 사회복지법제학회 2016 사회복지법제연구 Vol.7 No.1

As the proportion of our social welfare increases, the need to overcome the inefficiencies and duplication leak in order to build customized welfare through better delivery systems are also growing. The systematic management of all raw data is essential, good welfare shall be based on good welfare data like any other areas. The purpose of this study was to examine the operational status of social welfare-related information system, present issues for improvement, and emphasize the need for the legal content of social welfare legislation to redefine the future maintenance social welfare system to support them. The paper examined the operational status of two different systems. One is social protection information system(Haengbok e-Eum) based on G(A)･G(A). and the other is G4C-oriented social service electronic voucher system. First, the computerization of application process for consumers requiring the information and support in electronic voucher system along with complete online administration, and inadequate 020 services for one-stop administration shall still be improved. Second, social protection information system(Haengbok e-Eum) has its statistics services limited, which can hardly check the status for its operations. Third, both systems still have little interaction each other in linking their data and systems. With a view to improving such issues, the main considerations are related to the data, the core of welfare-related services in knowledge-based society, hence a variety of convenient services in light of the knowledge management can be a key to creating another welfare. And it pointed out the use of information-driven e-document facilitating the structure for combining different welfare knowledge, the system that searches both structured and unstructured welfare-related data, and XML conversion of Hangul documents for accurate search and statistics as well as orienting the XML documents when they are first generated. The proposed legislation highlights the fact of the legislative framework for Big acumen to support IT knowledge management-based welfare system, sharing communal welfare system and welfare industry. First of all, a variety of welfare terms are composed of mixed and specific identification is not easy in the establishment of a legal framework, but taking into account shared human being sharing the market role and function, it shall have an overall review of the social welfare legislation, in other words, the redefinition of the social welfare system. Secondly, the legislation for consumer-oriented or both supplier and consumer shall be general, but its need is much greater in welfare system. Therefore, it has not just administrative or supplier regulations, but includes more systematically consumer-oriented consumer law in terms of the legislative form or content. Thirdly, when it comes to welfare consumer, it is important to receive needed supplies properly regardless of the organizational and institutional structure of national and local governments, so there is a need for program law through the convergence of hardwares and softwares, which brings not only hardware system of organization or institutional law, but also implements knowledge management-oriented software system for convergence content and linkage services. Fourthly, it is technology law through the convergence between law and technologies. Future welfare should be oriented towards knowledge revolution that is based on IOT convergence welfare through knowledge management, hence the welfare law will have evolve itself in terms of its content via the convergence with technologies. 우리 사회에서 복지 비중이 증대될수록, 중복누수 비효율을 극복하고 보다 나은 전달체계를 통한 맞춤형 복지를 지향할 필요성 또한 커지고 있다. 모든 분야가 그렇듯 로데이터의 체계적 관리가 중요한데, 좋은 복지를 위해서는 좋은 복지데이터의 뒷받침이 필수적이다. 본 연구는 사회복지 관련 정보시스템의 운영현황을 진단하고, 개선 이슈를 제시하며, 이를 뒷받침할 법적 내용이 추후 사회복지법체계 재정립 내지 사회복지법제 정비에 반영되어야 함을 강조하는데 목적이 있다. 본 연구를 위하여 사회복지 주요 정보시스템인, G(A)･G(A)가 주된 관계인 사회보장정보시스템(행복e음)과 G4C가 주된 관계인 사회서비스전자바우처시스템의 운영현황통해 문제점을 분석하였다. 첫째, 수요자들이 전자바우처시스템상에서 정보를 얻고 바로 지원을 받기 위한 신청절차 및 온라인 상에서의 완전한 행정의 전자화, one-stop 행정이 구현되지는 못하는 O2O 서비스가 미흡한 실정이다. 둘째, 사회보장정보시스템(행복e음) 상에서의 주요문제는 사업 현황을 파악하는 정도의 제한된 통계서비스이다. 셋째, 두 시스템 모두 데이터의 연계, 시스템 간의 자유로운 연동이 아직은 미미한 상태이다. 이런 문제점을 토대로 개선을 위한 주요 고려사항으로는 지식기반사회에서의 복지와 관련한 서비스의 핵심은 데이터이므로, 지식관리에 의한 편리하고 다양한 서비스가 또 하나의 복지로 연결될 수 있는 지식관리의 중요성을 담았다. 그리고 다양한 복지지식을 담을 수 있는 구조화가 용이한 정보중심의 웹기반 전자문서 활용, 복지관련 정형 비정형 데이터까지 검색되는 시스템, 정확한 검색과 통계를 위한 한글문서의 XML 변환과 처음 생성될 때부터의 XML 문서 지향 등을 제시하였다. 이를 고려한 법제방향은 IT 지식관리 기반 복지시스템 및 공동체적 나눔 그리고 복지산업을 뒷받침하는 입법적 혜안을 위한 큰 틀의 내용을 강조하였다. 첫째로, 복지 관련 다양한 용어가 혼재 및 다양한 개별법들로 구성되어 법체계의 정립이 쉽진 않겠지만, 인권 복지 나눔 시장 역할과 기능분담 고려하여, 사회복지법제에 대한 전반적 검토가 있어야 할 것이다. 즉, 사회복지법체계의 재정립이다. 둘째로는 수요자 중심 내지 공급자와 수요자 양 측면을 고려한 입법흐름은 전반적이어야 하지만 복지영역에서는 더더욱 그 필요성이 크므로, 입법형식이나 내용 측면에서 행정이나 공급자 규정만이 아닌 수요자 규정이 보다 체계적으로 담기는 수요자 중심으로의 수요자법이다. 셋째, 복지수요자 입장에서는 국가나 지방자치단체의 조직 및 기관구성이 어떻든 필요하고 수급가능한 복지를 제대로 제공받는 것이 중요하므로, 관련 입법 또한 조직이나 기관중심의 HW체계에만 머무르지 않고 융복합 복지콘텐츠와 연동서비스를 위한 지식관리 중심의 SW체계로도 이행되어야 하는 하드웨어와 소프트웨어의 융합을 통한 프로그램법이다. 넷째로는 법과 기술의 융합통한 기술법이다. 향후 복지는 지식관리를 통한 클라우드 기반 온오프라인 IOT 컨버전스 복지를 지식혁명으로 지향해야 하므로 복지법은 기술과의 융합을 통하여 내용적 진화를 해가야 할 것이다.

A Design of the Improved Data Conversion Process for System Upgrade Project

Hee Wan Kim 한국인터넷방송통신학회 2021 Journal of Advanced Smart Convergence Vol.10 No.2

Data conversion refers to the process of extracting the data existing in the existing system, that is, the past data accumulated by the old information system or other methods and transferring it to the improved table of the new system. The person in charge of data conversion refers to the entire process of converting to the final destination table according to the rules designed/planned in advance. In most cases, data conversion design should be consider when the old system replace or the data of another existing system is converted and applied to a newly constructed information system. The goal of data conversion is to understand the current database system of operating environment, understand the characteristics of the DBMS in use, maintain the optimal database structure, and make the new system perform at its best. Data conversion methods are largely divide into a method using a tool and a conversion method using a program preparation. In this paper, we examine the advantages and disadvantages of the data conversion method, and try to derive the problems of the existing data conversion method. Based on this, an improved data conversion method for the system upgrade project was proposed, and verified through a questionnaire of an IT expert to prove its effectiveness

A Design of the Improved Data Conversion Process for System Upgrade Project

Kim, Hee Wan The Institute of Internet 2021 International journal of advanced smart convergenc Vol.10 No.2

Data conversion refers to the process of extracting the data existing in the existing system, that is, the past data accumulated by the old information system or other methods and transferring it to the improved table of the new system. The person in charge of data conversion refers to the entire process of converting to the final destination table according to the rules designed/planned in advance. In most cases, data conversion design should be consider when the old system replace or the data of another existing system is converted and applied to a newly constructed information system. The goal of data conversion is to understand the current database system of operating environment, understand the characteristics of the DBMS in use, maintain the optimal database structure, and make the new system perform at its best. Data conversion methods are largely divide into a method using a tool and a conversion method using a program preparation. In this paper, we examine the advantages and disadvantages of the data conversion method, and try to derive the problems of the existing data conversion method. Based on this, an improved data conversion method for the system upgrade project was proposed, and verified through a questionnaire of an IT expert to prove its effectiveness

Evolution of Aviation Safety Regulations to cope with the concept of data-driven rulemaking- Safety Management System & Fatigue Risk Management System

이근영 한국항공우주정책⋅법학회 2018 한국항공우주정책·법학회지 Vol.33 No.2

Article 37 of the International Convention on Civil Aviation requires that rules should be adopted to keep in compliance with international standards and recommended practices established by ICAO. As SARPs are revised annually, each ICAO Member State needs to reflect the new content in its national aviation Acts in a timely manner. In recent years, data-driven international standards have been developed because of the important roles of aviation safety data and information- based legislation in accident prevention based on human factors. The Safety Management System and crew Fatigue Risk Management Systems were reviewed as examples of the result of data-driven rulemaking. The safety management system was adopted in 2013 with the introduction of Annex 19 and Chapter 5 of the relevant manual describes safety data collection and analysis systems. Through analysis of safety data and information, decision makers can make informed data-driven decisions. The Republic of Korea introduced Safety Management System in accordance with Article 58 of the Aviation Safety Act for all airlines, maintenance companies, and airport corporations. To support the SMS, both mandatory reporting and voluntary safety reporting systems need to be in place. Up until now, the standard of administrative penal dispensation for violations of the safety management system has been very weak. Various regulations have been developed and implemented in the United States and Europe for the proper legislation of the safety management system. In the wake of the crash of the Colgan aircraft, the US Aviation Safety Committee recommended the US Federal Aviation Administration to establish a system that can identify and manage pilot fatigue hazards. In 2010, a notice of proposed rulemaking was issued by the Federal Aviation Administration and in 2011, the final rule was passed. The legislation was applied to help differentiate risk based on flight according to factors such as the pilot's duty starting time, the availability of the auxiliary crew, and the class of the rest facility. Numerous amounts data and information were analyzed during the rulemaking process, and reflected in the resultant regulations. A cost-benefit analysis, based on the data of the previous 10 year period, was conducted before the final legislation was reached and it was concluded that the cost benefits are positive. The Republic of Korea also currently has a clause on aviation safety legislation related to crew fatigue risk, where an airline can choose either to conform to the traditional flight time limitation standard or fatigue risk management system. In the United States, specifically for the purpose of data-driven rulemaking, the Airline Rulemaking Committee was formed, and operates in this capacity. Considering the advantageous results of the ARC in the US, and the D4S in Europe, this is a system that should definitely be introduced in Korea as well. A cost-benefit analysis is necessary, and can serve to strengthen the resulting legislation. In order to improve the effectiveness of data-based legislation, it is necessary to have reinforcement of experts and through them prepare a more detailed checklist of relevant variables.

Evolution of Aviation Safety Regulations to cope with the concept of data-driven rulemaking - Safety Management System & Fatigue Risk Management System

( Gun-young Lee ) 한국항공우주정책·법학회(구 한국항공우주법학회) 2018 한국항공우주정책·법학회지 Vol.33 No.2

국제민간항공협약 37조는 ICAO에서 제정하는 국제표준 및 권고에 따라 각국의 사정에 맞는 입법을 할 것을 요구하고 있다. 국제표준 및 권고는 매년 개정되고 있으므로 각 회원국은 적기에 해당 내용을 자국 항공법규에 반영할 필요가 있다. 최근에는 데이터 기반 국제표준이 만들어지고 있으며 그 이유는 인적요소를 주축으로 하여 사고예방을 위해서는 항공안전 데이터와 정보에 기반한 입법이 중요하게 되었기 때문이다. 데이터 기반 입법의 예로 안전관리시스템과 승무원 피로위험관리시스템이 검토 되었다. 안전관리시스템은 부속서 19가 2013년 채택되었으며 관련 매뉴얼 제5장에는 안전데이터의 수집과 분석 시스템에 기술되어 있다. 안전데이터와 정보의 분석을 통하여 의사결정권자는 데이터에 기반한 결정을 할 수 있다. 대한민국은 항공안전법 제58조에 따라 모든 항공사, 정비업체, 공항공사 등이 안전관리시스템을 도입하고 이행하여야 한다. 이러한 안전 관리시스템을 뒷받침하기 위해서는 의무보고와 자발적 안전보고 시스템이 활성화 될 필요가 있으며 현재까지는 안전관리시스템 도입 위반에 대한 행정처분 기준은 아주 미미한 상태이다. 미국과 유럽도 안전관리시스템의 적절한 입법을 위하여 다양한 규정이 개발되어 시행되고 있다. 피로위험관리시스템의 경우 2009년 Colgan 항공기 추락을 계기로 미국교통안전위원회는 미연방항공청에 조종사 피로위험을 확인하고 관리할 수 있는 시스템 구축을 권고하였으며 2010년 미연방항공청에서 발행한 입법예고에는 약 8,000여개의 제안이 있었다. 2011년 최종 법안이 통과되었으며 조종사의 조종사가 업무를 시작한 시간, 보조 승무원의 탑승여부, 휴식시설의 등급 등에 따라 승무시간을 차등 적용하는 입법이 이루어지게 되었다. 이러한 입법과정에 수많은 데이터와 정보가 분석되었으며 그 내용이 승무시간에 반영되었다. 최종 입법이 이루어지기 이전에 비용 대비 효과 분석이 실시되었으며 10년간 운영할 경우 비용보다는 효과가 더 크다는 결론이 이루어 졌다. 대한민국도 승무원 피로위험 관련 항공안전법 조항이 있으며 항공사는 전통적인 승무시간 제한 방법 또는 피로위험관리시스템 둘 중 하나를 선택할 수 있다. 데이터 기반 입법을 위하여 미국의 경우 항공입법위원회를 구성하여 운영하고 있는데 이는 대한민국에도 도입이 필요한 내용이며 유럽에서 시행하고 있는 D4S 도 고려할 만한 시스템이다. 비용 대비 효과 분석은 입법을 견고하게 할 수 있어 필요하다고 판단되며 데이터 기반 입법의 실효성을 제고하기 위해서는 전문 인력의 보강, 보다 자세한 점검표 작성 등이 필요하다. Article 37 of the International Convention on Civil Aviation requires that rules should be adopted to keep in compliance with international standards and recommended practices established by ICAO. As SARPs are revised annually, each ICAO Member State needs to reflect the new content in its national aviation Acts in a timely manner. In recent years, data-driven international standards have been developed because of the important roles of aviation safety data and information-based legislation in accident prevention based on human factors. The Safety Management System and crew Fatigue Risk Management Systems were reviewed as examples of the result of data-driven rulemaking. The safety management system was adopted in 2013 with the introduction of Annex 19 and Chapter 5 of the relevant manual describes safety data collection and analysis systems. Through analysis of safety data and information, decision makers can make informed data-driven decisions. The Republic of Korea introduced Safety Management System in accordance with Article 58 of the Aviation Safety Act for all airlines, maintenance companies, and airport corporations. To support the SMS, both mandatory reporting and voluntary safety reporting systems need to be in place. Up until now, the standard of administrative penal dispensation for violations of the safety management system has been very weak. Various regulations have been developed and implemented in the United States and Europe for the proper legislation of the safety management system. In the wake of the crash of the Colgan aircraft, the US Aviation Safety Committee recommended the US Federal Aviation Administration to establish a system that can identify and manage pilot fatigue hazards. In 2010, a notice of proposed rulemaking was issued by the Federal Aviation Administration and in 2011, the final rule was passed. The legislation was applied to help differentiate risk based on flight according to factors such as the pilot's duty starting time, the availability of the auxiliary crew, and the class of the rest facility. Numerous amounts data and information were analyzed during the rulemaking process, and reflected in the resultant regulations. A cost-benefit analysis, based on the data of the previous 10 year period, was conducted before the final legislation was reached and it was concluded that the cost benefits are positive. The Republic of Korea also currently has a clause on aviation safety legislation related to crew fatigue risk, where an airline can choose either to conform to the traditional flight time limitation standard or fatigue risk management system. In the United States, specifically for the purpose of data-driven rulemaking, the Airline Rulemaking Committee was formed, and operates in this capacity. Considering the advantageous results of the ARC in the US, and the D4S in Europe, this is a system that should definitely be introduced in Korea as well. A cost-benefit analysis is necessary, and can serve to strengthen the resulting legislation. In order to improve the effectiveness of data-based legislation, it is necessary to have reinforcement of experts and through them prepare a more detailed checklist of relevant variables.

뉴노멀 시대에 데이터 이동권의 헌법적 수용에 관한 연구

손형섭(Son, Hyeung-Seob) 유럽헌법학회 2021 유럽헌법연구 Vol.- No.37

21세기, 우리는 AI에 근거한 데이터 활용 시스템을 가능하게 하고, 데이터의 생성과 소멸까지를 통제할 수 있는 데이터 기본권 논의를 제시해야만 한다. 이를 위하여 구체적으로 정보은행 인증제도, 마이데이터 사업의 인증 시스템, AI에 의해 프로파일링된 자동의사결정에 통제, 신용정보법, 개인정보보호법, 관련 데이터 기구 구성 논의에 까지 헌법에 근거한 데이터 통제권론에 근거한 뉴노멀 시스템을 연구한다. 디지털 전환의 지능정보화 사회에서 각종 데이터와 개인정보의 합리적 보호와 활용은 헌법상으로도 중요한 가치이다. 세계는 2010년대부터 도입이 논의된 마이데이터 시스템과 EU의 GDPR에서 인정된 데이터 이동권(right to data portability)을 인정하게 되었다. 이러한 때, 대한민국 헌법학에서도 개인데이터의 보호와 활용의 양자의 조화를 꽤하면서도 데이터의 생성과 소멸에 걸치는 권한을 정보주체에게 합리적으로 보장하기 위한 논의를 제시해야만 하는 상황이다. 특히 마이데이터에 의해 새로운 데이터의 처리에 종래 개인정보자기결정권 개념과는 조화되는 않는 점이 있다. 반면, 데이터의 이동권을 인정하고 개인정보의 통제권을 인정하는 EU, 미국(right to access 정보접근권), 일본의 국가는 이러한 새로운 데이터 상황을 각자 유연하게 대처하고 있다. 따라서 대한민국도 헌법상 개인정보자기결정권 논의를 21세기에 적합하게 데이터 통제권으로 변화하여 데이터 이동권, 마이데이터 시스템, 핀테크, 기타 AI에 근거한 데이터 활용 시스템을 가능하게 하면서, 데이터의 생성·거래·유통·소멸까지의 개인정보 자기통제권을 인정하는 논의로 전환해야한다. 이를 통하여 구체적으로 정보은행 인증제도, 마이데이터 사업의 인증 시스템, AI에 의해 프로파일링된 자동의사결정에 통제, 신용정보법, 개인정보보호법, 관련 데이터 기구 구성 논의에 까지 헌법 제10조, 제17조, 제18조에 근거한 개인정보통제권에 근거한 뉴노멀 시스템의 구현을 구체화해야 한다. In the 21st century, we should present a discussion of the fundamental rights of data that enables data utilization systems based on AI, the right to control data from creation to destruction. For this end, I research the right to control data theory based on the Constitution related with the information bank authentication system, the authentication system of the My Data business, control over automatic decision-making profiled by AI, the Credit Information Act, the Personal Information Protection Act, etc. In the intelligent information society of digital transformation, rational protection and utilization of various data is an important constitutional value. The world recognizes the MyData system, which has been discussed since the 2010s, and the right to data portability recognized by the EU s GDPR Article 20. At this time, even in the case of constitutional studies of the Republic of Korea, it is necessary to present a discussion for rationally correcting the authority over the creation and destruction of data to the data subject while maintaining a good balance between the protection and use of personal data. In particular, there is a point that does not harmonize with the conventional concept of the right to self-determination of personal information in the processing of new data by My Data. On the other hand, countries such as the EU, the US (right to access information) and Japan, which recognize the right to transfer data and control the right to personal information, are flexibly responding to this new data situation. Therefore, by changing the discussion on the right to self- determination of personal information in Constitution to the right to control data suitable for the 21st century, the right to data transfer, my data system, fintech, and other AI-based data utilization systems are possible. We should turn to a discussion that recognizes the right to control data up to the creation, transaction, distribution and destruction. Through this, the information bank authentication system, my data business authentication system, control over automatic decision-making profiled by AI, the Credit Information Act, the Personal Information Protection Act, and the constitution of related data organizations are discussed in Articles 10 and 17 of the Constitution. The implementation of a new normal system based on data control rights based on Articles 18 and 18 should be specified.

재정데이터의 관리 및 활용을 위한 개선방안 연구: 재정데이터 거버넌스를 중심으로

송석현 ( Song¸ Seok-hyun ) 한국정보화진흥원 2021 정보화정책 Vol.28 No.3

데이터 기반 정책의사결정시스템 구현을 목표로 현재 기획재정부는 관련 추진단을 구성하여 활발히 구축 중에 있다. 본 시스템은 현재 단순 재정행정업무 지원을 벗어나 데이터 기반의 재정업무가 가능하도록 구축 중이다. 미국은 증거 기반의 정책의사 결정법을 제정하여 관련 업무를 적극 추진 중이다. 우리나라도 작년부터 데이터기반 행정법이 시행되어 데이터 기반 행정업무를 할 수 있도록 법제도적 근거가 마련되었다. 차세대 예산회계시스템이 데이터 기반의 시스템으로 그 역할을 다하려면 많은 정책과 노력이 필요하다. 데이터 관리, 법제도, 관련 시스템 구축 등 다양한 부분에서 혁신과 변화가 필요하다. 이런 상황에서 우리나라보다 먼저 재정시스템을 구축하여 운영하고 있는 미국, 영국 등 세계 선진국의 재정시스템과 정책을 거버넌스 차원에서 비교 분석하는 것은 매우 시기적절하다고 볼 수 있다. 이들의 재정정보시스템을 비교 분석하여 차세대 예산회계시스템에 적용한다면 한층 더 나은 시스템이 될 것으로 기대한다. 본 연구에서는 미국, 영국, 프랑스, 캐나다 등 주요 선진국을 대상으로 데이터 거버넌스를 정책적, 시스템적, 법제도적, 추진체계, 서비스적 차원에서 비교 분석하였다. 그리고 결론에서는 디지털 대전환시대, 코로나19 등 최근 어려운 경제위기 환경에 대해 신속히 대처하고 국민이 원하는 국가재정정책시스템으로서의 역할과 방향도 제안하였다. To achieve a data-driven policy decision-making system, the Ministry of Strategy and Finance has formed a marketing team and is actively building upon it. This system, currently under construction, will enable data-driven financial tasks beyond simple financial administration. The U.S. has already enacted The Foundations for Evidence-Based Policymaking Act in the process of similar pursuits. Since last year, the data-driven system administrative law has been enacted in Korea, and a legal framework has been established for data-driven administrative work. The next-generation budget accounting system to fulfill its role as a data-driven system needs public policy support to operate. Innovation and transformation are needed in various areas such as data management, legal system, and installation of related systems. Accordingly, it is very timely to analyze the financial systems and policies of advanced countries such as the U.S. and U.K., which already have established and operates such a financial system. By benchmarking and applying existing financial information systems to the next-generation budget accounting system, a better system will result. In this study, major developed countries, including the U.S., U.K., France, and Canada were benchmarked and analyzed in terms of the main elements of data governance: public policy, systems, legal framework, promotion system, and service level. It was discovered that the role and direction of the national fiscal policy system that the people favor should be able to respond quickly to the recent difficult economic crisis environment such as the digital transformation trend and COVID-19.

데이터와 지식재산 규율체제의 접점과 정책의 유추

김원오 충북대학교 법학연구소 2022 과학기술과 법 Vol.13 No.1

This study focuses on the need to refer to or apply analogy to the intellectual property system that is most similar in essence to data for the effective establishment of non-personal data regulatory policies, which are gaining importance with the advent of the data economy era. In order to establish a virtuous cycle structure of the ecosystem, it is intended to compare the coordinates of a desirable data policy with the intellectual property regulatory system. To this end, we first explore the nature of data and intellectual property and the interface between the two regulatory systems. First, consider the nature of data and intellectual property: i) ‘data as intellectual property (IP)’ (comparative review with data and intellectual property’s subject matters such as inventions, works), and conversely ii) ‘intellectual property as data’ (The informational nature of intellectual property) is understood by considering both aspects. Next, the interconnection link between the IP system and the data regulation system will be examined, taking into consideration what points can be applied by analogy from the characteristics of the established intellectual property protection system. First, after i) analyze the characteristics of the intellectual property protection system, ii) analyze the commonalities and differences in the nature of information and seek contact points iii) check in the context of a common policy structure of creation, protection, utilization and foundation. In data policy establishment, a system that can be inferred from the intellectual property system should be able to support the maintenance and development of the data ecosystem virtuous cycle structure. After comprehensively examining the factors that can be inferred and applied from the IP system, additionally, a few topics such as i) Collective ownership of IP and the concept of total sharing data ownership ii) Non-voluntary license and forced sharing of data iii) Implications of the collective copyright management system through trusts will be discussed in more detail.

건축물 빅데이터 연계를 위한 국토교통 정보시스템 분석

이종원(Lee, Jong-Won),이주미(Lee, Ju-Mi),한무열(Han, Mu-Yeul),채지성(Chae, Ji-Seong),김주형(Kim Ju-Hyung),김덕우(Kim, Deuk-Woo),이승언(Lee, Seong-Eon) 대한건축학회 2019 대한건축학회 학술발표대회 논문집 Vol.39 No.2

The government recently established the Open Data Portal which is an integrated site with open data generated by diverse public agencies. The Ministry of Land, Infrastructure and Transport also provides open data through the information system of the Ministry. However, as each open data is managed and offered by a respective system, it is difficult for users to collect and utilize diverse linked open data. Thus, the goal of this study is to analyze which open data is related to building and where the data is offered in each system from the information system DB. 25 systems were selected as a relevant building data system from 81 systems(websites) in nine fields. The data classification is systematically organized with the Excel, and the flow chart for identifying the data search of each system is also organized. In addition, data is divided into similar meaning categories with meta-analysis. This paper is a basic study on how to search and link the open data related to building in the information system. The result of this study can intuitively help users search and understand the various building data. Finally, it can contribute to the development of an objective and scientific data-based architectural policy by presenting the interrelationship of each scattered system and data.