심사평가 정보수집체계 개편 로드맵 개발

김소희,유수연,권의정,김소정,박소정,신민선,신현철 건강보험심사평가원 심사평가연구소 2020 연구보고서 Vol.2019 No.0

Review system has been reformed focusing on connecting medical validity and quality of care and the need to improve data collection system is gaining more and more attention. The Health Insurance Review and Assessment Service (HIRA) has collected health outcome for value measurement using health insurance claim data and additional survey, but it required to build a system that can assure diversity and efficiency in the type and process of data collection. As such, HIRA has established and operated HIRA e-Image and e-Form System in order to reduce providers’ burden for data submission and streamline review and assessment process. The main objective of this study is to propose a road map for review and assessment data collection system revision. More specifically, i) to review efficient data collection system by researching data collection and utilization cases from Korea and abroad, ii) to set up a direction for data collection in consideration of review and assessment system reform, and iii) to propose a step-by-step road map to improve data collection system. To conduct review and assessment service,‘specific-statements’of health insurance claim statement need to be utilized in the short term, and a data submission system for review and assessment needs to be implemented in the long term. In order to expand HIRA e-Image and e-Form System, four mid and long-term strategies and nine sub-tasks were presented. First, it is necessary to decide clear objectives and utilization of data collection and define standardization template in order to switch to HIRA e-Image and e-Form System. In other words, standardization of list of collected data should precede to enhance predictability of providers and data accuracy. Second, data connection system between HIRA e-Image and e-Form System and providers’ EMR needs to be developed and data key-in principles need to be systematized. If HIRA developed and distributed a standardized data connection system or guideline, the system building period could be shortened. Also, clear principles for data key-in method should be presented to enhance data reliability. The guideline for EMR data will improve providers' understanding of data key-in, and narrow down gaps in data input. Third, legal and institutional basis should be prepared for data collection to encourage utilization of HIRA e-Image and e-Form System. System expansion mechanism and data reliability validation method are also required. To expand HIRA e-Image and e-Form System, it is essential to secure not only non-financial support like development and distribution of standardized EMR connection system, but also financial support to aid data connection system development cost. And data reliability should be checked before collection process. Forth, data collected through HIRA e-Image and e-Form System are important clinical data, such as test results and health outcome. Therefore, the value of collected data needs to be maximized through secondary utilization. A collaboration system should be discussed and reviewed to connect the HIRA e-Image and e-Form System with other healthcare information projects.

이동 싱크 기반 센서 네트워크에서 데이터 변화율을 고려한 TDMA 기반 데이터 수집 기법

박형순(HyoungSoon Park),여명호(MyungHo Yeo),성동욱(DongOok Seong),유재수(JaeSoo Yoo) 한국콘텐츠학회 2010 한국콘텐츠학회논문지 Vol.10 No.8

이동 싱크를 이용한 데이터 수집에서 센서 노드들이 이동 싱크의 통신반경에 포함되는 시간은 불균등하다. 불균등한 시간내에 효율적인 데이터 수집을 위해서는 이동 싱크와 센서 노드간 데이터 수집 스케줄링이 필요하다. 기존 이동 싱크에 이용된 스케줄링 기법들은 데이터 수집을 위해 이동 싱크의 통신범위에 머무는 시간과 이동 싱크로 수집된 데이터양 등을 고려하였다. 하지만 기존 연구들은 센서 네트워크에서 수집되는 데이터의 특성을 고려하지 않았다. 본 논문에서는 센서 노드별 데이터 수집 주기와 이동 싱크와 센서 노드사이의 데이터 수집 주기로 구성된 TDMA 스케줄링 기법을 제안하였다. 또한 온도, 습도 등과 같이 일정하게 증가 혹은 감소하는 센서 데이터의 특성을 고려한 TDMA 스케줄링 기반의 데이터 수집 기법을 제안하였다. 제안한 데이터 수집 기법은 센서 노드별 전체 데이터의 수집이 아닌 사용자가 설정한 임계 값보다 크게 변한 데이터를 수집한다. 제안하는 기법의 우수성을 보이기 위해 기존 스케줄링 기법중 데이터 균등 수집을 목표로 하는 DWEDF 기법과 성능 평가를 수행하였다. 실험 결과 제안하는 기법이 기존 DWEDF 기법에 비해 데이터 수집에 소모되는 에너지가 약23% 줄었고, 센서 노드의 데이터 수집 실패가 감소하였다. In data collection using a mobile sink, the time that sensor nodes are included in its communication radius is not uniform. The data collection schedule in non-uniform time is needed between a mobile sink and sensor nodes for efficient data collection. The existing data collection schemes using a mobile sink considered staying time in its communication range and data collected by the mobile sink. However, they did not consider the characteristics of data collected in sensor networks. In this paper, we propose a TDMA based schedule scheme that consists of the data collection period by each sensor nodes and the data collection period between a mobile sink and sensor nodes. Moreover, we propose a data collection scheme considering the variability of data in sensor networks. The proposed data collection scheme collects only data that changed larger than the threshold set by the user. In order to show the superiority of the proposed scheme, we compare it with DWEDF that aims to collect data uniformly. As a result, our experimental results show that the proposed scheme reduces about 23% energy consumption and the data collection failure of sensor nodes over the DWEDF.

Assessment and quantification of hurricane induced damage to houses

Chiu, Gregory L.F.,Wadia-Fascetti, Sara Jean Techno-Press 1999 Wind and Structures, An International Journal (WAS Vol.2 No.3

Significant costs to the public and private sectors due to recent extreme wind events have motivated the need for systematic post-hurricane damage data collection and analysis. Current post disaster data are collected by many different interested groups such as government agencies, voluntary disaster relief agencies, representatives of media companies, academicians and companies in the private sector. Each group has an interest in a particular type of data. However, members of each group collect data using different techniques. This disparity in data is not conducive to quantifying damage data and, therefore, inhibits the statistical and spatial description of damage and comparisons of damage among different extreme wind events. The data collection does not allow comparisons of data or results of analyses within a group and also prohibits comparison of damage data and information among different groups. Typically, analyses of data from a given event lead to different conclusion depending upon the definition of damage used by individual investigators and the type of data collected making it difficult for members of groups to compare the results of their analyses with a common language and basis. A formal method of data collection and analysis-within any single group-would allow comparisons to be made among different individuals, hazardous events and eventually among different groups, thus facilitating the management and reduction of damage due to future disaster. This research introduces a definition of damage to single family dwellings, and a common method of data collection and analysis suited for groups interested in regional characterization of damage. The current state-of-data is presented and a method for data collection is recommended based on these existing data collection methods. A fixed-scale damage index is proposed to consider the damage to a dwelling's feature. Finally, the damage index is applied to three dwellings damaged by Hurricane Iniki (1992). The damage index reflects the reduced functionality of a structure as a single family detached dwelling and provides a means to evaluate regional damage due to a single event or to compare damage due to events of different severity. Evaluation of the damage index and the data available support recommendation for future data collection efforts.

일본점령기 베이징의 경관 담론과 공간 정치화(1937~1941)

홍영미 동양사학회 2022 동양사학회 학술대회 발표논문집 Vol.2022 No.4

Data-informed 디자인을 위한 데이터 수집 설계 도구 제안: 린 스타트업 환경을 중심으로

김유진,정영욱 인제대학교 디자인연구소 2023 Journal of Integrated Design Research (JIDR) Vol.22 No.4

Background : In the Fourth Industrial Revolution era, the rising importance of big data highlights the need for user data utilization in design. Despite this, UX designers in lean startups are encountering challenges in the initial stages of data collection. This gap exists despite the active theoretical research in data-driven design, signaling a lack of practical application methods. The study aims to explore major obstacles in the data collection phase of the lean UX process and to propose applicable solutions. Methods : For this study, a literature review was conducted to explore data-based design. It concentrated on examining various data types, how they are collected, and the real-world applications of these methods in design. It was identified that in early-stage startups, typically lacking data experts, UX designers have been undertaking significant roles in data collection design. To pinpoint the primary challenges in such environments, in-depth interviews with 12 designers were conducted. Using thematic analysis, 17 main themes and 6 key findings emerged. Subsequently, a design workshop with 4 UX designers from lean startups was organized to find effective solutions for these identified challenges. Results : The study concluded that a 'productivity tool', enabling indicator filtering and emphasizing real-time communication, is the most suitable solution. This tool includes features such as arranging elements based on time progression, aligning goals across the company and within teams, a design centered on both internal and external communication, and the ability to interact with external stakeholders. In line with this direction, a core scenario composed of 'goal setting', 'funnel definition', and 'event and property setting' was developed, and a prototype was designed for effective demonstration. Conclusion : The significance of this study lies in its exploration and proposition of solutions to challenges faced by UX designers in lean startup environments without data experts, particularly in the context of the burgeoning importance of data-driven design. The application of the proposed solution in practice is anticipated to enhance UX in the initial phases of data-driven design and to provide guidance for organizations in tailoring their environments based on the identified pain points.

Data Collection and Preparation in Conference Interpreting Research: Review of current practice and lessons learned for future research

Sohhee Lee 한국통역번역학회 2006 통역과 번역 Vol.8 No.2

Data is an essential part of carrying out CIR, in particular in research related to understanding the process of interpreting by comparing the ST and TT of SI. The paper reviews current discussions on data collection and preparation, where the issue of sharing interpretation data is being discussed. In order to share data, it is proposed that a set of standardized and agreed upon transcription conventions be used and that the data be transcribed in a manner allowing the machine to read the data. For a look into the actual practice of how data is collected and prepared, this paper reviews 15 articles from two journals published in Korea. It also discusses ways to make the collection and preparation of data more effective and efficient for future research.

개인 연구자 소장 자료 수집과 활용 방안

홍태한 국립무형유산원 2017 무형유산 Vol.0 No.2

This article is about how individual researchers should collect and utilize data. Recently, there has been a growing interest in building archives, and there is a strong willingness among various institutions to collect folk data of individual researchers. Lists of data donated by personal researchers show that data can be donated and studied when the collection agency is trusted by the researchers. The most problematic aspect of the collected data was the lack of metadata, and therefore researchers donating data in the future will be required to thoroughly prepare metadata. In order to suggest how much data individual researchers have, I present my case as an example. I intend to donate my data to an institution if it is involved in data collection, organization and research, and has a considerable established collection. Thus, institutions need to enact regulations to collect the data of personal researchers and thes e regulations should include measures to increase the self-esteem of individual researchers. It will also be necessary to specify various support measures so that the contributing researchers can organize the data thoroughly. Researchers also need to set their own standards to measure the value of donated data. It is expected that archives will be well established in the future with data donated by individual researchers. 이 글은 개인 연구자가 소장한 자료를 어떻게 수집하고 활용할 것인가를 다룬 글이다. 최근 아카이브 구축에 대한 관심이 높아지고 있고, 이에 따라 민속 현장에서 다양한 자료를 축적한 개인 연구자 소장 자료를 수집하려는 여러 기관의 의지가 높다. 그동안 기증된 개인 연구자 자료 정리물을 살펴보니, 무엇보다도 수집기관에 대한 신뢰가 있어야 자료가 기증되고 연구될 수 있음을 알 수 있다. 그리고 수집된 자료의 정리과정에서 가장 문제가 된 것은 메타데이터(metadata)의 부족이었다. 따라서 앞으로 자료를 기증하는 연구자는 메타데이터를 충실하게 작성할 필요가 있다. 본고에서는 개인연구자들이 어느 정도 자료를 가지고 있는지를 살펴보기 위해 글쓴이의 경우를 하나의 사례로 제시했다. 개인 연구자의 경우 상당한 자료가 모여 있고 자료를 수집, 정리, 연구할 기관이 있으면 기증할 의사를 가지고 있다. 따라서 여러 기관에서는 개인 연구자 소장 자료를 모으기 위해 규정을 제정할 필요가 있다. 규정에는 개인 연구자의 자존감을 높여줄 방안도 포함되어야 하고, 기증한 연구자가 자료를 충실하게 정리할 수 있도록 각종 지원책을 명시할 필요가 있다. 아울러 기증 자료의 가치를 측정할 수 있는 나름의 기준 설정도 필요하다. 앞으로 개인 연구자들이 소장한 자료가 기증되어 아카이브 구축이 잘 이루어지기를 바란다.

공공기관의 개인정보 수집,관리의 범위와 한계

최봉석 ( Bong Seok Choi ) 단국대학교 법학연구소 2009 법학논총 Vol.33 No.2

Legal protection of personal data intend to ensure fair use of personal data, contrary to Confidentiality Laws. The purpose of Data Protection Laws is to protect the rights and freedoms of data subjects, and in particular their right to privacy with regard to the collection of personal data. Korean society has constantly made efforts in various directions to reform the complicated system of the data protection laws and regulations. Because various Data Protection Acts are on two separate sector, public and private, and sectoral and particular Acts has been enacted since 2003. It`s not easy to understand relevant laws and regulations in the sight of data controller or data subject, and it is resulting in the decrease of effectiveness for the law enforcement. As there is no general law in the private sector, the privacy in some areas which are not under the scope of data protection laws may not be protected. It has been suggested strongly to establish a general Act that governs the collection of personal data by both the public and private sectors. However, the government, NGOs and the academy societies their own ideas respectively have not reached consensus with regard to the orientation and contents of the Act. Presently, opinions about how the Data Protection Act will be established are sharply opposed in several points. The basic issues of the dispute are related to the structure of legislation about legal standard for the utilization and the collection of personal data and related to the national enforcement system in the sight of both protection of privacy and public efficiency. This study for current public system of data collection is to analyze and evaluate the contents of law and regulation. The ultimate goal of this evaluation is to provide useful legislation in the future.

An Efficient Data Collection Protocol for Maximum Sensor Network Data Persistence

Jian Wan,Li Yang,Wei Zhang,Huayou Si,Jin Feng 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.11

Sensor network has lot applications in the early warning and assistant of disaster environment such as debris flows, floods and forest fires. However, such disaster environment pose an interesting challenge for data collection since sensor nodes may be destroyed unpredictably and centrally, resulting in the decrease of data persistence in the network. Growth Codes Protocol (GCP) first focuses on increase sensor network data persistent in the disaster. However, the completely random data transmission way in GCP may cause a large number of invalid data transmissions and therefore, the efficiency of data collection of the protocol is not ideal in the late stage of data collection. In this paper, we propose an efficient data collection protocol (DGCP) to maximize sensor network data persistence by changing the completely random data transmission way. Packet classification mechanism and a novel dynamic probability model of data transmission in DGCP are proposed to control the effective direction of data flow. Furthermore, we found that the parameter optimization problem of the probabilistic model is a problem of searching the optimal solution in a mathematical view. Based on this property, we propose a genetic algorithm to optimize the dynamic probability model. The performance of the proposed DGCP is shown by a comparative experimental study. When compared with GCP, our DGCP has better performance in a variety of environments

사물인터넷에서 이동장치 정보를 이용한 센서 데이터 수집 성능 향상 방안

김천용,김상대,오승민,정관수 한국정보과학회 2020 정보과학회논문지 Vol.47 No.1

Internet of Things (IoT) is a technology to provide emerging applications, such as remote data collection. Recently, the active deployment of wireless sensors and the explosive increase in the number of mobile devices has enabled opportunistic data collection (ODC), in which mobile devices collect data from distributed sensors. In ODC, the sensor data can be collected without the additional overhead of installing and operating a network infrastructure. However, the time duration for data transfer cannot be guaranteed due to the unpredictable mobility of mobile devices in ODC. Therefore, existing studies have used a conservative flow control mechanism focusing on reliable data transfer. However, the conservative flow control degrades the data collection performance when the time duration for data transfer is sufficiently long. In this paper, an efficient flow control scheme was proposed for enhancing the data collection performance of ODC. The proposed scheme is based on the communication time between a mobile device and a sensor. The efficiency-oriented flow control mechanism is applied with a long communication time, while a short communication time leads to the reliability-oriented flow control mechanism. By using the proposed scheme, the data collection performance can be enhanced without degrading the reliability of data transfer. 최근, 무선 센서의 활용증가와 스마트폰 등 통신기능을 가진 이동장치들의 폭발적인 보급으로 인해, 센서 데이터를 이동장치로 수집하는 기회적 데이터 수집방안(ODC)이 제안되었다. ODC 는 추가적인 네트워크 인프라의 구축/운용비용 없이 센서 데이터를 수집할 수 있는 장점이 있다. ODC 에서는 이동장치의 예측 불가능한 이동성 때문에 센서와 이동장치 사이의 통신시간을 보장할 수 없기 때문에 기존방안들은 신뢰성이 높은 보수적인 흐름제어를 활용한다. 하지만, 이 방식은 긴 시간 통신하는 경우, 데이터 전송률을 급격히 저하시킨다. 본 논문에서는 ODC의 데이터 전송률 향상을 위한 효율적인 흐름제어 방안을 제안한다. 제안방안은 이동장치의 이동정보를 이용해 센서와의 통신가능시간을 계산하고, 그에 따라 흐름제어 방식을 다르게 적용한다. 즉, 통신가능시간이 길 때는 효율성, 짧을 때는 신뢰성을 고려하는 흐름제어 방식을 가변적으로 적용함으로써 신뢰성을 떨어뜨리지 않고 데이터 전송률을 향상시킬 수 있다.