Proper use of health and medical data helps develop the medical industry and promote national health. In particular, Korea has a national health insurance system, so a huge amount of information, including health examination records, drug prescription records, and insurance qualifications, is collected from public institutions such as the National Health Insurance Corporation and the Health Insurance Review and Assessment Service. It has favorable conditions for data utilization in that it is possible to systematically collect and manage data. However, there are various evaluations on whether such policies to revitalize the use of health and medical data are actually successful. According to the ‘Ministry of Public Administration and Security’s evaluation of the operation status of public data provision’, the level of public data management system was good, while the level of private use support and information quality were insufficient. Data governance is being emphasized to promote the use of health and medical data along with the legislation. This is because the participation of experts and public-private agreements are important due to the nature of health and medical data, and securing social trust in personal information protection is important. In relation to this, we tried to present specific measures by reviewing the inspection of the current health care big data platform and measures to strengthen and improve it in a comparative manner. The Policy Deliberation Committee within these platforms is stipulated as a directive and is in charge of deliberation on not only policy deliberation but also research purposes and de-identification measures. It was proposed to legalize the basis for the composition of the Policy Deliberation Committee, focus its functions on policy decision-making, and to specialize in de-identification judgment by establishing a separate professional deliberation agency. As an organization dedicated to judging the de-identification of health and medical data, a plan was proposed to establish governance for professional deliberation of health and medical data and to establish a deliberation committee to deliberate on the adequacy of de-identification. The National Health Insurance Service, the National Health Insurance Review and Assessment Service, the Korea Health Industry Promotion Agency, and the National Cancer Center, which are currently combined specialized institutions, can supplement de-identification deliberations. The governance of such health and medical data review can provide policy advice to the Policy Deliberation Committee within the health and medical data platform.

This research is a basic study to develop mid - and long - term data base platform for maintenance of aging infrastructure (bridges, tunnels, retaining walls, road facilities, etc. In this study, the degradation and damage data and experiment data obtained from various monitoring technologies are secured in the medium to long term, and the degradation environment and damage model are developed based on the data acquired later. Predicted and standardized services to the management or the people of the nation. In this study, the database will be constructed at the planning, design and implementation stage, and mid - and long - term data will be used for precision safety diagnosis report and monitoring measurement report.

정보통신기술의 발달로 빅데이터 분석을 통해 사람들 일상의 기록과 잠재적 요구까지 통찰할 수 있게 되었으며, 우리의 일상 속에서 방대한 정보를 실시간으로 도출하고 있다. 여러 산업이 나 기업에서 이미 빅데이터와 결합시켜 비즈니스 등 다양한 분야에 활용하고 있지만 게임 산업 에서의 빅데이터 활용은 아직까지 미흡한 실정이다. 이에 본 연구에서는 데이터 마이닝을 기법을 적용하여 전략시뮬레이션 게임 데이터를 분석하 였다. 전략시뮬레이션 게임 데이터를 Decision Tree, Random Forest, Multi-class SVM, Linear Regression 분석 기법을 적용하여 게임 유저의 게임수준에 영향을 미치는 요인을 분석하였다. 게임수준을 예측하는데 있어 가장 우수한 성능을 보인 기법과 변수들을 도출하여 게임 디자인 과 사용성을 증대시키기 위한 제안을 하고자 한다.