초록 ▼

O 관할해역 공동활용 체계 구축
• 해양과학조사 DB 수집 대상범위 확대 및 자료수집 체계 구축
• 최신 DB 구축 기술을 활용한 대용량 관리저장체계 구축
• 해양과학데이터의 활용을 위한 자료의 가공분석 체계 구축
• 사용자 계층별 해양정보 서비스 체계 구축
O 관할해역 공동활용 기반 연구
• 해양영토관리 통합DB 체계 운영 및 발전방향 연구
• 해양정보 공동활용을 위한 해양과학조사자료 표준화 및 품질관리기술 개발
• 통합 해양과학정보 구축 및 활용을 위한 제도개선 및 운영방안 도출

O 관할해역 공동활용 체계 구축
• 해양과학조사 DB 수집 대상범위 확대 및 자료수집 체계 구축
• 최신 DB 구축 기술을 활용한 대용량 관리저장체계 구축
• 해양과학데이터의 활용을 위한 자료의 가공분석 체계 구축
• 사용자 계층별 해양정보 서비스 체계 구축
O 관할해역 공동활용 기반 연구
• 해양영토관리 통합DB 체계 운영 및 발전방향 연구
• 해양정보 공동활용을 위한 해양과학조사자료 표준화 및 품질관리기술 개발
• 통합 해양과학정보 구축 및 활용을 위한 제도개선 및 운영방안 도출
• 해양영토관리 통합DB 체계 운영 및 기능 고도화

(출처 : 보고서 요약서 5p)

Abstract ▼

1. Introduction
1.1. Purpose and Necessity
〇 The purposes of this project are
- to support decision-making for efficient management of marine territory and utilization, conservation, and development of marine space in the field of ocean policy
- to establish infrastructure for integrated

1. Introduction
1.1. Purpose and Necessity
〇 The purposes of this project are
- to support decision-making for efficient management of marine territory and utilization, conservation, and development of marine space in the field of ocean policy
- to establish infrastructure for integrated managing and utilizing marine territory to respond to industrial, academia, and public needs of marine information
- to prepare the service for public use of marine information.

〇 Even though so many invaluable domestic marine survey data have been produced from organization, government-sponsored research center, department of Oceanography in university and ocean related industries, there are academic and economic losses because of no public use ground.
- degradation in utilization of marine science survey data which is produced from a huge budget
- necessity of establishing infrastructure for integrated management and utilization of marine territory

〇 So, this project was performed for solving these problem with two main purposes of
- research about developing integrated system for distributing marine science data of the jurisdictional sea area of south korea
- establishment public service system for utilizing marine science data of the jurisdictional sea area of south korea

1.2. Current Status of Marine Information Service
〇 Range of investigation cases about operating international marine data
〇 Range of investigation cases about domestic marine information establishment：law, regulations, status of information management system, analysis results related with production and management marine science data
〇 Range of investigation cases about operating international marine information
- United states of america : ① Federal Geographic Data Committee (FCDC), ② Organization/authority/function analysis of marine and coastal spatial data subcommittees, ③ Analysis of framework for Coastal and Marine. Spatial Planning (CMSP) and National Information Management. System (NIMS) prototype
- United kingdom ： Establishment of integrated marine geospatial information system based on Marine Bill, Marine Data & Information Partnership (MDIP), Marine Science Co-ordination Committee (MSCC), MEDIN, MaRS
- China ： Marine information center's establishment, utilization and suggestion of marine information
- International organization：IOC, IODE, SeaDataNet, GOOS, JCOMM, NODC etc.

1.3. Development direction of Ocean Information Service
〇 In order to construct a common utilization system of marine information in future, a broader range of marine science survey data is collected and a certain level of reliability is required by introducing a standardized management system
〇 Collecting the results of the research projects that have been conducted in the territorial waters of Korea until now and the data should be rearranged according to the standards prepared for each data item so that it can be used jointly
〇 Standardization of marine scientific research data that is observed, handled and managed for individual purposes, completion of a comprehensive system for providing marine information such as linkage by organization, integrated metadata management, processing / analysis through the second phase project

2. Research of development direction
2.1. Data collection and exchange system
〇 Analysis of domestic and international collected/shared data：analysis and suggestion of MEIS, MyOcean
〇 Configuration for collecting/sharing data：Background and conditions, Comparison collecting and sharing system, Suggestion of configuration for collecting/sharing (Agent summary, Agent application system

2.2. Data analysis and storage system
〇 Selecting standard of data analysis and storage system
〇 Attribute and managing contents of marine data
〇 Analysis of big data storage system：DBMS and big data storage technology for managing bulk data

2.3. Case study on the data classification service of marine data
〇 Current status of international ERDDAP and MyOcean

2.4. Plan for data analysis and storage system
〇 Establishment of distributed web portal service system through standard protocol, increasing system interoperability through open source architecture based on Open Source, user-centric powerful publication authoring tool support, providing abundant metadata based on international standards and efficient search function, various additional services considering user's convenience

2.5. Analysis of the current issue related sea territory
〇 Maritime boundary delimitation, analysis of utilizing marine resource development

2.6. Plan for production of marine spatial information
〇 Informatization of marine data：DIKW model
〇 Acquisition of marine geospatial information：National oceanic map, surveying coast line and accurate investigation of maritime boundary, etc.
〇 Analysis of marine geospatial information：nautical chart sounding datum (sometimes referred to as the reference plane) changing technology, surface sediment classification technology, improving accuracy of tidal data using satellite GPS data, monitoring technology using remote sensing data

2.7. Investigation on the analysis method of marine data
〇 Introducing statistical method for dealing with marine data：Harmonic decomposition tidal analysis, correlation analysis, T-S diagram, wave statistics (using FFT), Wavelet, EOF
〇 Introducing types of marine data analysis graphs

2.8. Analysis of pros and cons about statistical analysis of marine data
〇 Introducing utilizing tool：R, Matlab, Octave
〇 Establishing statistical system for analyzing marine data：time series data, geospatial data interpolation, correlation analysis.

2.9. Tools for big data analysis of marine data
〇 Marine big data analysis using R packages
〇 Tools for managing big data and coupling R statistical analysis：Hadoop, RHive, etc.

2.10. Plan for application of large scale marine data backup method
〇 Analyzing attributes of marine bulk data：marine territory DB, E-library, national statistics DB, system for managing marine science survey data
〇 Suggestion of back up methods depending on types

2.11. Establishment of data collection and Information delivery system
〇 Purpose：Analysis of utilizing/demanding marine information and basic research for industrializing marine information O Key factors
- Effective management of marine territory and supporting for decision-making in the field of marine policy for the utilization, conservation and development of the ocean and in order to actively cope with expanding demand for services of marine information increasing in industry, academia, and general public, providing a service base for joint use of comprehensive marine information
- Among system for joint utilization of marine information, to build an information service system, through analyzing of the relationship between education information use case and e-navigation business which is emerging recently, we will use this information to develop marine information service, develop publicity materials on the integrated system of maritime information, which has been in place for the past three years, to inform business needs and provide materials for promoting JOISS system, a joint use system of marine science data, to marine related workers and researchers, one of the data providers.
- Through user feedback, identifying requirements such as the information needed to provide the materials and reviewing industry roadmap to improve the utilization of marine information, we will contribute to the efficiency of the establishment of national marine policy and securing the common service base of marine information.

3. Data collection system
3.1. Collection of marine observation data
〇 Data
- Research data：realtime observation of east sea and research of ecological environment：7 types including EAST-I
- International open source data：13 types including ARGO
- Domestic open source data：9 types including survey of realtime fishery environments
- Other source data : 3 types including marine chemistry data
〇 Collecting methods：JOISS portal upload, E-mail. interview and collecting data directly, download through WEB search, automatic collecting program, etc.

3.2. Development of data production plan and metafile investigation form
〇 Development of data producing plan
- necessity：A large number of materials are produced when the project is carried out, in order to utilize these data effectively in the future, it is necessary to make a detailed plan for collecting and processing the data before collecting data
- International case : NSF in the United States and ESRC in the UK require to submit Data Management Plan (DMP) along with the proposal of the assignment to research projects they support
- Contents of data producing plan : Data descriptions, Data item and storage form, Data production schedule, Metadata information, Whether the data is disclosed, Policy on reuse / redistribution, Long-term storage plan

〇 Development of meta investigation form
- necessity：Because detailed information about the data should be continuously provided in the process of collecting and distributing the data. It is important to improve the reliability of the data, so it is important to improve the reliability of data. By providing an organized table of metadata organized into data producers and providers, we want to be able to collect high quality data
- International case：Published meta-writing form of NODC, BODC
- Contents of meta investigation form：Data provider's personal information, Data producer's personal information, Data set overview, Scientific information in the data set, Format of data set, Equipment calibration information, Other information in the data set and Data writing quide

3.3. Development of automatic data collection program
〇 The purpose of this program is to link marine science data of institutions related marine survey and to offer link interface for public use
〇 Automatic data collection program ： function - preferences, scheduler, current status of monitoring, and performing automatic system for entering 13 types international open data including ARGO regularly

3.4. Establishment of data usage authority and quotation marks
〇 Investigating authorities or organizations among data of collecting data and making guidelines about quotations of ‘The information sharing system of jurisdictional sea area’ project based on the investigations

4. Storage and Management System
4.1. PostgreSQL DB management
〇 Database server configuration and preferences
〇 Database server configuration
- The jurisdiction database contains over 40 meta information tables, 50 code tables, 40 data tables and 10 statistical analysis tables.
- For efficient table management of jurisdiction database, it is divided into 10 schemas based on table characteristics..
- Marine scientific data (total 609 data) stored in the PostgreSQL database are marine physical data, marine chemical data, marine biological data, marine geological and geophysical data and meterological data.

4.2. PostgreSQL DB improvement
〇 Improving server efficiency through parameter adjustment of database server and search performance by creating index additions, making view system to facilitate data management and Integrated processing of tables, etc.
〇 Schema and table structure, separating physical storage space, detailed business information management, integrated observation point information, data disclosure rating management, precision and effective number management, species data management, constructing a grid-type statistical calculation table, etc.

4.3. Data input
〇 Jurisdiction The PostgreSQL database manages a set of observations for a total of 23 business groups. The research project data such as the geological hazard factor research in the West Sea coast are inputted by the data collected every year for 4 years from the first year and new materials were added every year.
- Observation data (non-grid type) DB construction：25 types, more than 230 million data
- Satellite and model data (grid type) DB construction : 11 types, more than 445 billion data

4.4. Backup and tunning
〇 The jurisdiction database is reasonably judged to establish a backup policy with a goal of 100% data recovery rate and recovery within a few hours and it is a good backup method to manage periodic backup files. The backup batch file (* .bat) was executed through Windows Scheduler so that the backup process was performed automatically once a week.

〇 Periodic performance monitoring is required for efficient management of the PostgreSQL database and System performs troubleshooting and tuning based on monitoring information when performance issues occur. DB monitoring is mainly analyzed using server status and SQL execution information and server status can be checked of CPU, memory, disk I/O, network status

4.5. DB development of satellite and model data (grid model)
〇 Additional data：newly satellite and model data
〇 Additional hardware configuration：enlarging storage target data and additional hardware configuration for improving performance
〇 Improving search performance：Managing Metadata in the RDBMS for flexible handling of data structure changes
〇 Configuring parallelism and development of coordinate system conversion function

4.6. Development of automatic DB input program
〇 Automatic DB input program is consists of environment setting, scheduler execution, DB (non - atomic type, grid type) input status monitoring function.
〇 ARGO data and other 13 kinds of overseas open data are automatically input.

4.7. Building function of quality management to bulk data
〇 Selecting quality control test, development of quality control function, Flagging through performing QC, and procedure of statistical analysis

5. Processing and Analysis System
5.1. Research of concepts about data analysis system with bulk data
〇 Work：Research of concepts about data analysis system with bulk data, Investigation of methods about statistical analysis with marine data, Search of tools about statistical analysis, Analysis of strengths and weaknesses about statistical analysis methods with marine data

5.2. Producing data of and building utilization system
〇 Program development for manufacturing and analyzing marine data, program development for searching metadata based on grid
〇 Research about method of making marine information using Satellite/Model /Climate prediction data
- Ocean surface temperature data derived from satellite data, Data production of satellite-derived bathymetry, Coastline and dem data production using satellite, Data reproduction by merging reanalysis and observed data, Reproduction of future climate data, etc.
〇 System development for analyzing climate index (climate correlation)
- Module development for analyzing correlation meteorologic data with ocean data using jurisdictional marine data, System development for helping diagnosing analysis about climate index (climate correlation) and mid/long-term prediction through selecting two area expected having correlation and analyzing various parameters of weather-marine data

5.3. Ocean index production and improvement
〇 Research of monitoring marine territory and developing evaluation index
- Review of previous research：Water quality index, Environmental sensitivity index, Ocean health index, Environmental performance index
- Description of development about marine monitoring index and introduction of procedure
〇 Extracting ocean survey index
- Making a plan and extracting index that how often survey works or where survey works to jurisdictional sea
〇 Drawing improvement points of extracting ocean health index
- OHI introduction：Concepts of OHI, Descriptions, Informatio of input data
- The data which was extracted for OHI index was not qualified and it is necessity to reproduce through complement of data
- Review of data usability to domestic marine data for extracting OHI

6. Information Service System
6.1. Investigation of current status about marine information service system
〇 Case analysis of marine information service system：ERDDAP, MyOcean
〇 Plan for configuration of information service system
- Establishment of distributed web portal service system through the standard protocol, Increasing interoperability by configurating architecture based on open Source, supporting powerful user-centered ‘Publication’ tools, offering metadata based on international standard and efficient function of search, offering various extra service for user convenience

6.2. Research of concepts to information service system
〇 Research contents：Application of metadata management and data upload service based on international standard (S-100), Establishment of offering service system of GIS information based on international standard, Map offering service based on electronic nautical chart, Graph making tools, Service for community, Extra service, etc.

6.3. Development of marine information portal service
〇 Portal summary and design (Architecture, UI, GIS, Charts, Manufacture and analysis, Function for user convenience, OpenAPI, etc.)
〇 Description of portal function：data upload function, GIS search function, Chart display function, Analysis function, Service by users, OpenAPI service, Community service

6.4. Advancement of web portal service
〇 Work : Rebuilding portal, Advancement of entering data, Advancement of function to search observed data, Advancement of displaying Satellite/Model/Reanalysis data, DEM visualization, Development of search function about statistical data

6.5. Data linkage with production data from domestic institution
〇 Work：Interaction with external data, Technology of making web service, Visualization of interaction data
〇 Web service technology interacted with organization for saving location, code number, latitude, longitude and service key in DB and Time series graph service by requesting API of NFIS to realtime data

7. Research of technologies and policies related marine information distribution
7.1. Standardization of marine information for public use
〇 Suggesting standard for managing marine physical data, marine chemical data, marine biological data, marine geological and geophysical data /Analyzing international and domestic technologies /Extracting draft/Making standard reviewed by experts
〇 Standard lists ： marine physical data (CTD, ADCP, realtime or time series observation), marine chemical data (water quality, nutrient, pigment, particulate organic matter, dissolved organics, radioisotope, marine carbon, porosity water), marine biological data (bacteria, phytoplankton, zooplankton, benthic invertebrate, eggs and larvae of anchovy, fish, primary productivity), marine geologic and geophysical data (surface sediment, depth, drilling, gravity and magnetism, seismic wave on shallow crust, seismic wave on deep curst)

7.2. Establishment of quality management standard for marine data management
〇 Preparing standard about quality management for managing marine physical data, marine chemical data, marine biological data, marine geological and geophysical data /Analyzing international and domestic technologies /Extracting draft /Making standard about quality management reviewed by experts
〇 Quality management standard lists：marine physical data (Sea temperature, salinity, ADCP, currents, wave), marine chemical data (DO, CO2, nutrient), marine biological data (phytoplankton, seaweed, fish), marine geologic and geophysical data (surface sediment, drilled sediment, seismic wave on shallow and middle curst)

7.3. DB operation and update of marine territory
〇 Collecting marine geologic and geophysical data produced from national research which is related with maritime boundary delimitation/ Performing integrated DB update for managing marine territory/ Improving data representation function to portal system which has main information

7.4. Improvement of institution for developing and utilizing integrated marine science information
〇 Research contents：case analysis of law and legal system about international marine information, direction of system improvement for integrating and propulsion for utilizing marine information system, plan for integrated operating and utilizing marine information, plan for increasing efficiency of management to marine territory based on marine information

7.5. Plan for managing marine territory based on marine territory DB
〇 Evaluating territory DB of sea area, suggesting the direction of maritime boundary delimitation based on territory DB, and of making territory DB according to marine survey current status

7.6. Appendix
〇 Other research results：International and domestic analysis report about standard for managing marine data, analysis report about quality management of marine data, analysis report of international cases about marine science information building and current status of domestic systems

8. Appendix：Standard operating procedure (SOP)
〇 Making standard work procedures to entire process of data collection, and management, process and analysis, information service system.

(출처 : Summary 17p)

목차 Contents

• 표지 ... 1
• 제출문 ... 3
• 보고서 요약서 ... 5
• 요약문 ... 7
• Summary ... 17
• 목차 ... 31
• 제1장 연구개발과제의 개요 ... 39
• 제1절 서론 ... 39
• 1. 연구개발의 목적 ... 39
• 2. 필요성 및 연구 범위 ... 39
• 3. 연구개발대상 기술의 경제적, 산업적 중요성 ... 40
• 제2절 해양정보 서비스 현황 ... 42
• 1. 국내 해양정보구축 현황 ... 42
• 2. 국외 해양자료 운영사례 ... 94
• 3. 해양정보 서비스 개선방향 ... 167
• 제2장 발전방향 연구 ... 177
• 제1절 자료수집/교환 체계 ... 177
• 1. 국내외 자료수집/교환 사례 분석 ... 177
• 2. 자료수집/교환 체계 구성(안) ... 194
• 제2절 자료 분석 및 저장체계 ... 199
• 1. 자료 분석 및 저장체계 기준 선정 ... 199
• 2. 해양자료의 특성 및 관리 항목 ... 200
• 3. Big Data 저장 체계 분석 ... 207
• 4. 자료 분석 저장체계 구성 방안 ... 266
• 제3절 해양자료 정보 서비스 사례 분석 ... 271
• 1. ERDDAP(Environmental Research Divisions Data Access Program) ... 271
• 2. My Ocean(Ocean Monitoring and Forecasting System) ... 282
• 제4절 정보 서비스 체계 구성방안 ... 287
• 1. 표준 프로토콜을 통한 분산형 웹 포털 서비스 체계 구축 ... 287
• 2. Open Source 기반의 개방형 아키텍처 구성을 통한 시스템간 상호 운용성 증대 ... 289
• 3. 사용자 중심의 강력한 Publication 제작 도구 지원 ... 290
• 4. 국제 표준 기반의 풍부한 메타데이터 및 효율적인 검색 수행 기능 제공 ... 291
• 5. 사용자 편의성을 고려한 다양한 부가서비스 제공 ... 292
• 제5절 해양영토 관련 현안 분석 ... 294
• 1. 해양경계획정 ... 294
• 2. 해저자원 개발 ... 304
• 제6절 해양공간정보 생산 방안 ... 310
• 1. 해양 자료의 정보화 과정 ... 310
• 2. 해양공간정보 자료의 획득 ... 315
• 3. 해양공간정보 자료 분석 ... 326
• 제7절 해양자료 Big data 분석을 위한 도구 ... 333
• 1. R 패키지를 이용한 해양자료 Big data 분석 ... 333
• 2. Big data 관리 및 R 통계분석 연동을 위한 도구 ... 340
• 제8절 대용량 해양자료 백업 적용 방안 ... 345
• 1. 해양자료 유형별 백업 방안 제시 ... 345
• 제9절 자료수집체계 및 정보화 서비스체계 구축 ... 352
• 1. 개요 ... 352
• 2. 해양정보 활용 교육컨텐츠 현황 분석 ... 355
• 3. 한국형 e-Navigation system과 서비스 연계방안 ... 372
• 4. 해양정보 활용 사용자 설문조사 ... 389
• 제3장 자료수집 체계 ... 403
• 제1절 해양관측자료 수집 ... 403
• 1. 자료수집 개요 ... 403
• 2. 연구과제 자료 수집 ... 412
• 3. 국내 공개자료 수집 ... 447
• 4. 국외 공개자료 수집 ... 476
• 5. 기타자료 수집 ... 494
• 6. 자료정리 ... 503
• 제2절 자료 생산계획서 및 메타 조사 양식표 ... 551
• 1. 자료생산계획서 ... 551
• 2. 메타조사양식표 ... 561
• 제3절 자동수집프로그램 개발 ... 577
• 1. 자료수집 프레임워크 설계 ... 577
• 2. 자료수집 프레임워크 개발 ... 580
• 3. 자동 수집 프로그램 기능 추가 개발 ... 585
• 제4절 자료사용 권한 및 인용문구 정립 ... 592
• 1. 사례분석 ... 592
• 2. 자료 사용 권한 및 인용 문구 정립 ... 597
• 제4장 관리저장 체계 ... 599
• 제1절 PostgreSQL DB 관리 ... 599
• 1. 데이터베이스 서버 환경 ... 599
• 2. 데이터베이스 구성 ... 601
• 3. 데이터베이스 개선 ... 700
• 4. 자료입력 ... 706
• 5. 백업 및 튜닝 ... 728
• 제2절 격자형 자료 DB 개발 ... 739
• 1. DB 구조 ... 739
• 2. 성능 테스트 ... 745
• 3. DB 사용 매뉴얼 ... 746
• 제3절 자료 자동 DB 입력 프레임워크 개발 ... 750
• 1. 프로그램 기능 설명 ... 750
• 제4절 대용량 자료 품질관리 기능 구축 ... 756
• 1. 프로그램 설계 ... 756
• 2. 프로그램 개발 ... 761
• 3. 품질관리 수행 결과 ... 766
• 제5장 가공분석 체계 ... 783
• 제1절 대용량 자료분석체계 개념 연구 ... 783
• 1. 대용량자료의 분석체계 개념 연구 ... 783
• 2. 해양자료 분석기법 조사 ... 784
• 3. 통계분석 도구 조사 ... 802
• 4. 해양자료 통계분석 장단점 분석 ... 831
• 제2절 가공분석 정보생산 및 활용체계 구축 ... 835
• 1. 해양자료 가공분석 수행 프로그램 개발 ... 835
• 2. 격자기반 메타정보 검색 프로그램 개발 ... 839
• 3. 위성, 모델 재분석，기후예측 자료를 활용한 해양정보 생성방안 연구 ... 851
• 4. 기후 지수(기후 상관도) 분석 시스템 개발 ... 996
• 제3절 해양지수 생산 및 개선 ... 1010
• 1. 해양영토 모니터링 및 평가지표 개발 연구 ... 1010
• 2. 해양조사지수 시범 구죽 ... 1041
• 3. OHI 개선안 도출 ... 1075
• 제6장 정보 서비스 체계 ... 1217
• 제1절 해양정보 서비스 체계 ... 1217
• 1. 정보 서비스 현황 ... 1217
• 2. 해양자료 정보 서비스 사례분석 ... 1220
• 3. 정보 서비스 체계 구성방안 ... 1236
• 제2절 정보 서비스 체계 개념연구 ... 1243
• 1. 국제표 준 (S-100) 기반의 메타데이터 관리 및 자료 업로드 서비스 적용 ... 1244
• 2. 국제 표준 기반의 GIS 정보 제공 서비스 구축 ... 1247
• 3. 전자해도 기반 Map 제공 서비스 ... 1249
• 4. 그래프 지도 제작도구 ... 1249
• 5. 커뮤니티 서비스 ... 1254
• 6. 부가 서비스 ... 1254
• 제3절 해양정보 포털 서비스 개발 ... 1256
• 1. 해양정보 포털 개요 ... 1256
• 2. 포털 설계 ... 1257
• 3. 포털 기능 상세설명 ... 1353
• 4. 시범 서비스 결과 보고 ... 1400
• 제4절 웹 포털 서비스 고도화 ... 1404
• 1. 포털 재설계 ... 1405
• 2. 자료등록 고도화 ... 1410
• 3. 관측자료 검색 기능 고도화 ... 1416
• 4. 위성/모델/재분석 표출 고도화 ... 1426
• 5. 격자기반 검색 기능 고도화 ... 1452
• 6. DEM 지형 가시화 ... 1461
• 7. 통계자료 검색기능 개발 ... 1467
• 제5절 국내기관 대상 외부자료 연계 활용 ... 1478
• 1. 외부자료 연계 대상 정보 ... 1478
• 2. Web Service 구현기술 ... 1484
• 3. 연계자료 가시화 ... 1488
• 제7장 해양정보유통 기반기술 개발 및 정책 연구 ... 1490
• 제1절 해양정보 공동활용을 위한 표준화 ... 1490
• 1. 표준화 방법 ... 1490
• 2. 국내외 해양자료 표준 현황 ... 1496
• 3. 해양자료 표준화(안) ... 1503
• 제2절 해양자료 관리를 위한 품질관리기준 수립 ... 1626
• 1. 해양자료 품질관리기준 수립 ... 1626
• 2. 국내외 품질관리기준 현황 ... 1631
• 3. 해양자료 품질관리기준(안) ... 1644
• 제3절 해양영토 DB 운영 및 업데이트 ... 1737
• 1. 해양영토 DB 업데이트 ... 1737
• 2. 통합 DB 시스템 기능개선 및 운영 ... 1745
• 제4절 통합 해양과학정보 구축 및 활용을 위한 제도 개선 ... 1756
• 1. 해양과학정보 구축 및 활용 제도 현황 ... 1756
• 2. 국외 해양정보 통합 법제도 사례 분석 ... 1762
• 3. 해양정보 통합 및 활용체계 추진을 위한 제도 개선방향 ... 1809
• 4. 해양정보 통합 및 활용체계 추진을 위한 법률 및 규정 제정 방향 ... 1815
• 5. 해양정보기반 해역관리 효율성 제고방안 ... 1841
• 제5절 해양영토 DB 기반 해양영토 관리방안 ... 1874
• 1. 영토 DB 해역별 구축 정보평가 ... 1874
• 2. 영토 DB 기반 해역별 해양경계획정 방향 제시 ... 1879
• 3. 해양조사 동향에 따른 해양영토 DB 구축 방향 제시 ... 1891
• 제6절 [부록 1]해양자료 관리를 위한 국내외 표준 분석 보고 서 (2016.11) ... 1893
• 1. Ocean Data Standards and Best Practices Project ... 1893
• 2. SeaDataNet ... 1895
• 3. ISO 19115 ... 1899
• 4. World Ocean Database ... 1901
• 5. World Ocean Circulation Experiment ... 1905
• 6. 미국 NODC MULDARS ... 1908
• 7. 일본 JODC ... 1921
• 8. WHOI B CO -DMO ... 1923
• 9. OBIS ... 1924
• 10. GBIF ... 1926
• 11. 미국 NGDC ... 1928
• 12. 미국 MGDS ... 1932
• 13. 미국 NCEI netCDF Templates ... 1936
• 14. 국 립 수산과학원 정선관측자료 ... 1938
• 15. 한국해 양 과 학 기 술 원 해양자료 DB ... 1939
• 제7절 [부록 2]해양자료 품질관리기술 분석 보고서 (2016.11) ... 1940
• 1. 해양물리자료 품질관리기술 현황 ... 1940
• 2. 해양화학자료 품질관리기술 현황 ... 2006
• 3. 해 양 생 물 자 료 품 질 관 리 기 술 현 황 ... 2051
• 4. 해양지질자료 품질관리기술 현황 ... 2080
• 제8절 [부록 3]해양과학정보구축 ... 2118
• 1. 해양과학정보 통합구축 국외 사례 ... 2118
• 2. 국내 제도현황 분석 ... 2153
• 3. 해양정보 통합 및 공동활용 체계구축을 위한 법제도 연구 방향 ... 2159
• 제8장 표준작업절차서(SOP) ... 2163
• 제1절 자료수집체계 ... 2163
• 1. 자료 수집 계획 ... 2163
• 2. 자료수집 ... 2166
• 3. 확인 및 검토 ... 2181
• 4. 처리 ... 2186
• 제2절 관리저장체계 ... 2206
• 1. PostgreSQL 데이터베이스 개요 ... 2206
• 2. 데이터베이스 자료입력 ... 2214
• 3. 웹포털을 통한 자료입력 검증 ... 2230
• 4. 데이터베이스 백업 및 모니터링 ... 2232
• 제3절 정보 서비스 체계 ... 2236
• 1. JOISS 정보서비스 개요 ... 2236
• 2. JOISS 정보서비스 환경 설치 ... 2240
• 3. JOISS 정보서비스 관리 업무 ... 2259
• 4. JOISS 정보서비스 운영 절차 ... 2286
• 제4절 별첨 ... 2292
• 1. 자료 생산 계획서 ... 2292
• 2. 메타조사 양식표 ... 2294
• 끝페이지 ... 2298