Water quality data classification
Water quality data classification, Total:461 items.
The international standard classification for "Water quality data classification" includes: Information technology (IT) in general , Industrial process measurement and control , IT applications in industry , IT applications in transport and trade , IT applications in science , Electrical engineering in general , Character sets and information coding , Seismic and vibration protection , Water quality in general .
The Chinese standard classification for "Water quality data classification" includes: Technical management , Data encryption , Industrial automation and control device in general , Terms and Symbols , Computer application , Information processing system design and documentation , Information processing technology in general , Basic standards and general methods , Computer application , Technical management , Engineering seismic resistance , Standardization and quality management , Computer application .
Group Standards of the People's Republic of China
- T/GDCSA 014-2022 Guide for university data classification and grading
- T/CIIA 025-2022 Scientific data - Evaluation indicators for data security classification quality
- T/CASME 1053-2023 Data management specification for enterprise modular classification data analysis system
- T/CIITA 409-2022 Digital technology—Data—Guidelines for classification and grading of data resources
- T/LSAS 003-2021 Public Data Classification and Grading Guidelines
- T/CCIASC 0006-2024 Technical requirements for data classification and grading product
- T/JSIA 0001-2022 Energy big data——Guidelines for classification and categorization of data
- T/SDIRAA 031-2021 Data quality evaluation index system for marine data quality control
- T/QGCML 223-2021 Technical requirements for multi-parameter water quality data acquisition and analysis system
- T/GBLES 1-2017 Universal Geological Data on photograph—— Data classification and format specification
- T/JNXXH 0003-2021 Guidelines for classification and grading of public data for digital reform
- T/ZJHIA 14-2024 Specification for classification and grading of medical and health data
- T/CIITA 408-2022 Digital technology—Data—Guidelines for classification and grading of data components
- T/FDSA 021-2021 Data storage specification for food classification and toxic hazardous substances in major events
- T/SDIRAA 016-2021 Specifications for Classification and Coding of Marine Data Quality Control Information
- T/ZAITS 20701-2022 Data transaction—Guide for product classification
- T/CAMIR 003-2022 Guidelines for media big data classification and grading
- T/QGCML 2241-2023 Analysis and evaluation system for water quality testing data
- T/MSITISA 03-003.06-2022 Big Data Credit Investigation-Data description- Data quality evaluation specification
- T/QBDA 5901-2024 Classification and grading specifications for data in the field of people's livelihood
- T/SZAS 85-2024 Guidelines for classifying and grading genetic identification data
- T/DZJN 81-2022 Data Center Evaporative Cooling Water Quality Standards
- T/YH 7005-2020 Engineering Design Requirements for Urban Water Supply Water Quality Data Acquisition Network
- T/SDIRAA 014-2021 Ocean data quality control basic dataset
- T/YNCF 006-2024 Guidelines for classification and grading of hospital health data
- T/MSITISA 03-003.05-2022 Big Data Credit-Data Description Data Classification
- T/GDIIA 006.08-2023 Data Governance Part 8:Evaluation Specification for Quality of Data Governance
- T/CPRA 301-2021 Classification & codes of cultural resource data
- T/SHIA 7.2-2018 Standard for quality control of health data—— Part 2:Data quality control rules and standards
- T/CASMES 183-2023 Smart water resources data quality specification
- T/GXAS 588-2023 Specification for classification and coding of data of digital sugarcane field
- T/CSEE 0309.3-2022 Energy Big Data Part 3: Classification
Beijing Provincial Standard of the People's Republic of China
- DB11/T 248-2021 Water quality database table structure
- DB11/T 248-2004 Tabulation frame of water quality database
Professional Standard - Water Conservancy
- SL 385-2007 Standard of hydrologic data classification and coding for GIS
- SL 325-2014 Structure and identifier for water quality database
- SL 325-2005 Regulations for table structure and symbol of water quality database
Guizhou Provincial Standard of the People's Republic of China
- DB52/T 1123-2016 Guidelines for Data Classification and Grading of Government Data
- DB52/T 1123-2021 Government data data classification
- DB52/T 1540.4-2021 Government Data Part 4: Specifications for Data Quality Assessment
- DB52/T 1239.4-2019 Government Data Core Metadata Part 4: Intangible Cultural Heritage Resource Data
Hubei Provincial Standard of the People's Republic of China
- DB42/T 1356-2018 Classification and coding of urban geological survey data and diagram legend
- DB4201/T 498-2016 Wuhan urban geological survey data classification coding and database standards
Sichuan Provincial Standard of the People's Republic of China
- DB51/T 3056-2023 Guidelines for Data Classification and Grading of Government Affairs Data
Shanxi Provincial Standard of the People's Republic of China
- DB14/T 2442-2022 Government data classification and classification requirements
- DB14/T 3108-2024 Specifications for the construction of cultivated land resource quality classification database
Shandong Provincial Standard of the People's Republic of China
- DB37/T 4163-2020 Water quality algae counting visual field counting method
General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China
- GB/T 42381.120-2023 Data quality—Part 120: Master data: Exchange of characteristic data: Provenance
- GB/T 42381.140-2023 Data quality—Part 140: Master data: Exchange of characteristic data: Completeness
- GB/T 42381.8-2023 Data quality―Part 8:Information and data quality:Concepts and measuring
- GB/T 42775-2023 Data security risk prevention and control for securities and futures industry—Guidelines of data classification
- GB/T 18784-2002 Quality of CAD/CAM data
- GB/T 43697-2024 Data security technology — Rules for data classification and grading
- GB/T 42381.63-2023 Data quality—Part 63: Data quality management: Process measurement
- GB/T 18124-2000 Quality data message
- GB/T 42381.61-2023 Data quality—Part 61:Data quality management: Process reference model
- GB/T 42381.130-2023 Data quality—Part 130:Master data: Exchange of characteristic data: Accuracy
国家市场监督管理总局、中国国家标准化管理委员会
- GB/T 36962-2018 Classification and codes for sensing data
- GB/T 38667-2020 Information technology -- Big data -- Guide for data classification
- GB/T 17564.6-2021 Standard data element types with associated classification scheme for electric components—Part 6: IEC Common Data Dictionary (IEC CDD) quanlity guidelines
Jiangsu Provincial Standard of the People's Republic of China
- DB3212/T 1116-2022 Guidelines for Classification and Grading of Government Data Security
- DB32/T 4608.1-2023 Public data management specifications Part 1: Data classification and classification
- DB3203/T 1024-2023 Public Data Classification and Grading Guidelines
Inner Mongolia Provincial Standard of the People's Republic of China
- DB15/T 1873-2020 Data access quality specification for big data platform
- DB1508/T 135-2021 Data quality control specification for water conservancy information
- DB15/T 2021.2-2020 Grassland Big Data Part 2: Data Classification and Coding
水利部
- SL/T 325-2014 Water quality database table structure and identifiers
Professional Standard - Geology
- DZ/T 0124-1994 Data Document Format of Hydrogeological Drilling Hole
- DZ/T 0268-2014 Inspection and evaluation of quality for geological data
Professional Standard - Earthquake
- DB/T 11.1-2007 Categories and codes for earthquake-related data. Part 1: Basic categories
- DB/T 11.1-2000 Categories and codes for earthquake - related data Part 1: Basic categories
- DB/T 12.1-2000 Earthquake precursor observation instrument—Part 1:Interface and control of sensor
- DB/T 11.3-2012 Seismic Data Classification and Coding Part 3: Sounding Data
- DB/T 11.2-2007 Categories and codes for earthquake-related data. Part 2: Observation data
Zhejiang Provincial Standard of the People's Republic of China
- DB33/T 2351-2021 Guidelines for classification and grading of public data for digital reform
- DB3301/T 0322.3-2020 Data Resource Management Part 3: Government Data Classification and Grading
中华人民共和国国家质量监督检验检疫总局、中国国家标准化管理委员会
- GB/T 34666.2-2017 Technical specification for compilation for water quality criteria date―Part 2:Aquatic toxicity
- GB/T 34666.1-2017 Technical specification for compilation for water quality criteria data-Part 1:Pollutants concentration
Heilongjiang Provincial Standard of the People's Republic of China
- DB2301/T 132-2023 Specifications for classification and grading of public data
- DB23/T 3849-2024 Public data classification and grading specifications
Chongqing Provincial Standard of the People's Republic of China
- DB50/T 1700-2024 Guidelines for the classification and grading of public data
- DB50/T 1453-2023 Guidelines for Classification and Grading of Industrial Data
Jiangxi Provincial Standard of the People's Republic of China
- DB36/T 1713-2022 Public Data Classification and Grading Guidelines
Professional Standard - Ocean
- HY/T 0366-2023 Classification and grading standard of marine data
工业和信息化部
- YD/T 4077-2022 YANG model classification and general data types
Liaoning Provincial Standard of the People's Republic of China
- DB21/T 3867-2023 Industrial data classification and hierarchical management guide
- DB21/T 1586-2008 Technical specification for digital forestry database classification
- DB21/T 3729-2023 Big data application industry classification specification
- DB21/T 4016-2024 Guidelines for Highway Data Classification and Grading
Military Standard of the People's Republic of China-General Armament Department
- GJB 5366-2005 Data structure categorizing and coding of comprehension intelligence database system for the armed forces
Jilin Provincial Standard of the People's Republic of China
- DB2201/T 17-2022 Guidelines for Classification and Grading of Government Data Security
Professional Standard - Aerospace
- QJ 1273.3-1987 Capital Construction System Data - Classification and Codes for Construction Type of Capital Construction Items
国家林业局
- LY/T 2923-2017 Forestry data quality—Data conformance testing
British Standards Institution (BSI)
- PD ISO/TS 8000-81:2021 Data quality. Data quality assessment. Profiling
- BS PD ISO/TS 8000-81:2021 Data quality. Data quality assessment. Profiling
- BS EN 16493:2014 Water quality. Nomenclatural requirements for the recording of biodiversity data, taxonomic checklists and keys
- 24/30484976 DC BS EN 18065 Plastics - Recycled plastics - Classification of recycled plastics based on Data Quality Levels for use and (digital) trading
- BS EN ISO 8689-1:2000 Water quality. Biological classification of rivers. Guidance on the interpretation of biological quality data from surveys of benthic macroinvertebrates
- PD ISO/TS 8000-82:2022 Data quality. Data quality assessment: Creating data rules
- BS ISO 5667-20:2008 Water quality - Sampling - Guidance on the use of sampling data for decision making - Compliance with thresholds and classification systems
- 24/30454458 DC BS ISO 8000-210 Data quality - Part 210: Sensor data: Data quality characteristics
- PD ISO/TS 8000-60:2017 Data quality. Data quality management. Overview
- PD ISO/IEC TS 38505-3:2021 Information technology. Governance of data. Guidelines for data classification
- BS EN 61360-6:2017 Standard data element types with associated classification scheme for electric components. IEC Common Data Dictionary (IEC CDD) quality guidelines
- BS 5703-4:2003 Guide to data analysis and quality control using cusum techniques - Cusum methods for discrete (count/classified) data
- BS EN ISO 8689-2:2000 Water quality. Biological classification of rivers. Guidance on the presentation of biological quality data from surveys of benthic macroinvertebrates
- BS ISO 8000-63:2019 Data quality - Data quality management: Process measurement
- BS EN 13017-1:2001 Solid wood panels - Classification by surface appearance - Solid wood panels - Classification by surface appearance - Softwood
- BS ISO 8000-100:2016 Data quality - Master data. Exchange of characteristic data. Overview
- BS ISO 8000-150:2022 Data quality - Data quality management: Roles and responsibilities
- PD ISO/TS 8000-150:2011 Data quality. Master data. Quality management framework
- BS ISO 8000-140:2016 Data quality - Master data. Exchange of characteristic data. Completeness
- BS ISO 8000-130:2016 Data quality - Master data. Exchange of characteristic data. Accuracy
- 24/30475219 DC BS ISO 11352 Water quality — Estimation of measurement uncertainty based on validation and quality control data
- BS ISO 8000-120:2016 Data Quality - Master data. Exchange of characteristic data. Provenance
- 18/30354698 DC BS ISO 8000-63. Data quality. Part 63. Data quality management: Process measurement
- PD ISO/TS 8000-65:2020 Data quality. Data quality management: Process measurement questionnaire
- 21/30422366 DC BS ISO 8000-150. Data quality. Part 150. Data quality management. Roles and responsibilities
- BS ISO 8000-51:2023 Data quality - Data governance. Exchange of data policy statements
- BS ISO 8000-61:2016 Data quality - Data quality management. Process reference model
- BS ISO 8000-8:2015 Data quality. Information and data quality: Concepts and measuring
- BS ISO 8000-66:2021 Data quality. Data quality management: Assessment indicators for data processing in manufacturing operations
- 22/30441144 DC BS ISO 8000-51. Data quality. Part 51. Data governance: Exchange of data policy statements
- 21/30385428 DC BS ISO 8000-66. Data quality. Part 66. Data quality management: Assessment indicators for data processing in manufacturing operations
- BS ISO/IEC 19944-1:2020 Cloud computing and distributed platforms. Data flow, data categories and data use - Fundamentals
- PD ISO/TS 8000-311:2012 Data quality. Guidance for the application of product data quality for shape (PDQ-S)
- BS ISO/IEC 5259-4:2024 Artificial intelligence. Data quality for analytics and machine learning (ML) - Data quality process framework
- BS ISO 8000-2:2022 Data quality. Vocabulary
- BS IEC 61360-7:2024 Standard data element types with associated classification scheme. Data dictionary of cross-domain concepts
- BS EN 61360-4:2005 Standard data element types with associated classification scheme for electric components - IEC reference collection of standard data element types and component classes
- BS ISO 8000-1:2022 Data quality. Overview
- BS ISO 8000-2:2020+A1:2021 Data quality - Vocabulary
- BS ISO 26433:2009 Digital cinema (D-cinema) - XML Data types
German Institute for Standardization
- DIN EN 18065:2024-03 Plastics - Recycled plastics - Classification of recycled plastics based on Data Quality Levels for use and (digital) trading; German and English version prEN 18065:2024 / Note: Date of issue 2024-02-09*Intended as replacement for DIN SPEC 91446 (2021-...
- DIN EN 18065:2024 Plastics - Recycled plastics - Classification of recycled plastics based on Data Quality Levels for use and (digital) trading; German and English version prEN 18065:2024
- DIN EN 16493:2014-11 Water quality - Nomenclatural requirements for the recording of biodiversity data, taxonomic checklists and keys; German version EN 16493:2014
- DIN EN 16493 E:2012-12 Water quality - Nomenclatural requirements for the recording of biodiversity data, taxonomic checklists and keys
- DIN SPEC 91481:2024-02 Classification of recycled plastics of polyamides by Data Quality Levels for use and (digital) trading; Text in English
- DIN EN ISO 8689-2:2000-08 Water quality - Biological classification of rivers - Part 2: Guidance on the presentation of biological quality data from surveys of benthic macroinvertebrates (ISO 8689-2:2000); German version EN ISO 8689-2:2000
- DIN EN ISO 8689-1:2000-08 Water quality - Biological classification of rivers - Part 1: Guidance on the interpretation of biological quality data from surveys of benthic macroinvertebrates (ISO 8689-1:2000); German version EN ISO 8689-1:2000
- DIN 31631-2:1985 Data element catalogue for bibliographic data; systematic part
- DIN EN 61360-6:2018-01 Standard data element types with associated classification scheme for electric components - Part 6: IEC Common Data Dictionary (IEC CDD) quality guidelines (IEC 61360-6:2016); German version EN 61360-6:2017
- DIN EN ISO 8689-1:2000 Water quality - Biological classification of rivers - Part 1: Guidance on the interpretation of biological quality data from surveys of benthic macroinvertebrates (ISO 8689-1:2000); German version EN ISO 8689-1:2000
- DIN 6789-7:2005 Systematic arrangement of documents - Part 7: Quality criteria for the release process of digital product data
- DIN EN 16493:2014 Water quality - Nomenclatural requirements for the recording of biodiversity data, taxonomic checklists and keys; German version EN 16493:2014
- DIN ISO 11352:2024 Water quality - Estimation of measurement uncertainty based on validation and quality control data (ISO/DIS 11352:2024); Text in German and English
- DIN EN ISO 8689-2:2000 Water quality - Biological classification of rivers - Part 2: Guidance on the presentation of biological quality data from surveys of benthic macroinvertebrates (ISO 8689-2:2000); German version EN ISO 8689-2:2000
- DIN 31631-2 Bb.1:1985 Data element catalogue for bibliographic data; alphabetic index to the systematic part
- DIN ISO 7168-2:1999 Air quality - Exchange of data - Part 2: Condensed data format (ISO 7168-2:1999)
- DIN ISO 7168-2 Air quality - Exchange of data - Part 2: Condensed data format
- DIN ISO 7168-1:1999-12 Air quality - Exchange of data - Part 1: General data format (ISO 7168-1:1999)
- DIN ISO 7168-1:1999 Air quality - Exchange of data - Part 1: General data format (ISO 7168-1:1999)
- DIN ISO 7168-2:1999-12 Air quality - Exchange of data - Part 2: Condensed data format (ISO 7168-2:1999)
- DIN EN 1545-1:2006 Identification card systems - Surface transport applications - Part 1: Elementary data types, general code lists and general data elements; English version of DIN EN 1545-1:2006
- DIN 31631-4:1987-05 Data element catalogue for bibliographic data; codes for entries for data categories
Association Francaise de Normalisation
- NF EN 16493:2014 Water quality - Nomenclatural requirements for recording biodiversity data, repositories and taxonomic keys
- NF T90-713*NF EN 16493:2014 Water quality - Nomenclatural requirements for the recording of biodiversity data, taxonomic checklists and keys
- CWA 14162:2001 Datatyping for Electronic Data Interchange
- NF EN ISO 8689-2:2000 Water quality - Biological classification of rivers - Part 2: guidelines for the presentation of biological quality data from studies of benthic macroinvertebrates
- NF EN ISO 8689-1:2000 Water quality - Biological classification of rivers - Part 1: guidelines for the interpretation of biological quality data from studies of benthic macroinvertebrates
- NF ISO 11352:2013 Water quality - Estimation of measurement uncertainty based on validation and quality control data
- NF C03-501-6*NF EN 61360-6:2017 Standard data element types with associated classification scheme for electric components - Part 6 : IEC Common Data Dictionary (IEC CDD) quality guidelines
- NF T90-355-1*NF EN ISO 8689-1:2000 Water quality - Biological classification of rivers - Part 1 : guidance on the interpretation of biological quality data from surveys of benthic macroinvertebrates
- NF T90-355-2*NF EN ISO 8689-2:2000 Water quality - Biological classification of rivers - Part 2 : guidance on the presentation of biological quality data from surveys of benthic macroinvertebrates
- NF ISO 7168-1:2000 Air quality - Data exchange - Part 1: general data format
- NF X43-507-2*NF ISO 7168-2:2000 Air quality - Exchange of data - Part 2 : condensed data format
- NF ISO 7168-2:2000 Air quality - Data exchange - Part 2: condensed data format
- NF X43-507-1*NF ISO 7168-1:2000 Air quality - Exchange of data - Part 1 : general data format
- NF Z15-700-1:2006 Identification card systems - Surface transport applications - Part 1 : elementary data types, general code lists and general data elements.
- NF Z52-040-1/A1*NF EN ISO 19115-1/A1:2018 Geographic information - Metadata - Part 1 : data quality - Amendment 1
SCC
- AENOR UNE-EN 16493:2015 Water quality - Nomenclatural requirements for the recording of biodiversity data, taxonomic checklists and keys
- NS-EN 16493:2014 Water quality — Nomenclatural requirements for the recording of biodiversity data, taxonomic checklists and keys
- DANSK DS/EN 16493:2014 Water quality - Nomenclatural requirements for the recording of biodiversity data, taxonomic checklists and keys
- DIN EN 18065 E:2024 Draft Document - Plastics - Recycled plastics - Classification of recycled plastics based on Data Quality Levels for use and (digital) trading; German and English version prEN 18065:2024
- AWWA ACE59954 Integrating Field Monitoring Data with a Hydraulic and Water Quality Modeling Geodatabase
- DIN EN 16493 E:2012 Draft Document - Water quality - Nomenclatural requirements for the recording of biodiversity data, taxonomic checklists and keys; German version prEN 16493:2012
- AWWA DSS65655 Interpreting Distribution System Data Using Water Quality Models
- AWWA ACE99435 SDWIS Data Quality: A Water Utility Perspective
- DANSK DS/ISO 5667-20:2008 Water quality - Sampling - Part 20: Guidance on the use of sampling data for decision making - Compliance with thresholds and classification systems
- DANSK DS/EN ISO 8689-1:2000 Water quality - Biological classification of rivers - Part 1: Guidance on the interpretation of biological quality data from surveys of benthic macroinvertebrates
- AWWA WQTC64099 Computer Assisted Quality Control of Real-time Water Quality Data
- NS-ISO 5667-20:2008 Water quality - Sampling - Part 20: Guidance on the use of sampling data for decision making - Compliance with thresholds and classification systems
- BS PD ISO/TS 8000-82:2022 Data quality-Data quality assessment: Creating data rules
- DANSK DS/ISO 8000-63:2020 Data quality – Part 63: Data quality management: Process measurement
- MIL MIL-D-89029-1995 DIGITAL BATHYMETRIC DATA BASE 0.1 MINUTE (DBDB-0.1) AND DIGITAL BATHYMETRIC DATA BASE 0.5 MINUTE (DBDB-0.5)
- 12/30253111 DC BS EN 16493. Water quality. Nomenclatural requirements for the recording of biodiversity data, taxonomic checklists and keys
- AWWA JAW65739 Journal AWWA — Detecting Changes in Water Quality Data
- DANSK DS/EN ISO 8689-2:2000 Water quality - Biological classification of rivers - Part 2: Guidance on the presentation of biological quality data from surveys of benthic macroinvertebrates
- DANSK DS/ISO 11352:2012 Water quality - Estimation of measurement uncertainty based on validation and quality control data
- AWWA JAW49180 Journal AWWA — Surfing the Web for Water Quality Data
- BS PD ISO/TS 8000-60:2017 Data quality-Data quality management. Overview
- BS PD ISO/IEC TS 38505-3:2021 Information technology. Governance of data-Guidelines for data classification
- DANSK DS/ISO 8000-8:2015 Data quality - Part 8: Information and data quality: Concepts and measuring
- DANSK DS/EN 61360-6:2017 Standard data element types with associated classification scheme for electric components – Part 6: IEC Common Data Dictionary (IEC CDD) quality guidelines
- BS PD ISO/TS 8000-150:2011 Data quality-Master data. Quality management framework
- AENOR UNE 199152-1:2016 Equipment for traffic management. Data quality. Analysis of data. Part 1: Intercity traffic data.
- DANSK DS/ISO 8000-51:2023 Data quality – Part 51: Data governance: Exchange of data policy statements
- CEI EN 61360-6:2017 Standard data element types with associated classification scheme for electric components Part 6: IEC Common Data Dictionary (IEC CDD) quality guidelines
- NS-EN ISO 8689-2:2000 Water quality — Biological classification of rivers — Part 2: Guidance on the presentation of biological quality data from surveys of benthic macroinvertebrates (ISO 8689-2:2000)
- AENOR UNE-EN ISO 8689-1:2001 Water quality - Biological classification of rivers - Part 1: Guidance on the interpretation of biological quality data from surveys of benthic macroinvertebrates. (ISO 8689-1:2000)
- NS-EN ISO 8689-1:2000 Water quality — Biological classification of rivers — Part 1: Guidance on the interpretation of biological quality data from surveys of benthic macroinvertebrates (ISO 8689-1:2000)
- DANSK DS/ISO/IEC TS 38505-3:2022 Information technology – Governance of data – Part 3: Guidelines for data classification
- DANSK DS/ISO/TS 8000-65:2020 Data quality – Part 65: Data quality management: Process measurement questionnaire
- 10/30174936 DC BS ISO 11352. Water quality. Determination of measurement uncertainty based on validation data
- DIN EN 61360-6:2018 Standard data element types with associated classification scheme for electric components - Part 6: IEC Common Data Dictionary (IEC CDD) quality guidelines (IEC 61360-6:2016); German version EN 61360-6:2017
- MIL MIL-D-89010-1994 DIGITAL BATHYMETRIC DATA BASE 5-MINUTE (DBDB5)
- BS CWA 14162:2001 Datatyping for electronic data interchange
- AWWA ACE68981 Sampling to Success: Water Quality Data Management at York Region
- 06/30133512 DC ISO 5667-20. Water quality. Sampling. Part 20. Guidance on the use of sampling data for decision making. Compliance with thresholds and classification systems
- BS PD ISO/TS 8000-65:2020 Data quality-Data quality management: Process measurement questionnaire
- AWWA ACE94089 Groundwater Quality in Southern California — Regional Database Results
- DANSK DS/IEC 61360-7:2024 Standard data element types with associated classification scheme – Part 7: Data dictionary of cross-domain concepts
- AWWA SRC57800 A Data Inventory Tool for Source Water Assessment: National, Regional, and State Chemical Occurrence Datasets
- AENOR UNE-EN ISO 8689-2:2001 Water quality - Biological classification of rivers - Part 2: Guidance on the presentation of biological quality data from surveys of benthic macroinvertebrates. (ISO 8689-2:2000)
- BS PD ISO/TS 8000-311:2012 Data quality-Guidance for the application of product data quality for shape (PDQ-S)
- BS EN 61360-4:1997 Standard data element types with associated classification scheme for electric components-Data element type definitions
- AWWA IMTECH62900 Application Services for Internet-Based Management of Drinking Water Quality and Operating Data
- DANSK DS/ISO/IEC 19944-1:2020 Cloud computing and distributed platforms ─ Data flow, data categories and data use – Part 1: Fundamentals
- AWWA IMTECH54032 Miami Valley River Index: Simplifying Water Quality Data for the Public
- DIN ISO 11352 E:2011 Draft Document - Water quality - Determination of measurement uncertainty based on validation data (ISO/DIS 11352:2010)
- AWWA IMTECH57907 Data Manipulation, Data Cleansing, and Data Mining for the Water Supply Industry
- BS ISO 8000-2:2020 Data quality-Vocabulary
- VDI 4010 BLATT 2-1997 Data types and data usage in reliability data systems (ZDS)
- DIN SPEC 91446 E:2021 Draft Document - Classification of recycled plastics by Data Quality Levels for use and (digital) trading
International Organization for Standardization (ISO)
- ISO/TS 8000-82:2022 Data quality — Part 82: Data quality assessment: Creating data rules
- ISO/CD 8000-210:2023 Data quality — Part 210: Part 210: Sensor data: Data quality characteristics
- ISO/TS 8000-60:2017 Data quality - Part 60: Data quality management: Overview
- ISO/TS 8000-81:2021 Data quality — Part 81: Data quality assessment: Profiling
- ISO/TS 8000-100:2009 Data quality - Part 100: Master data: Overview
- ISO/TS 8000-120:2009 Data quality - Part 120: Master data: Exchange of characteristic data: Provenance
- ISO 8000-102:2009 Data quality - Part 102: Master data: Exchange of characteristic data: Vocabulary
- ISO/TS 8000-130:2009 Data quality - Part 130: Master data: Exchange of characteristic data: Accuracy
- ISO 8000-130:2016 Data quality - Part 130: Master data: Exchange of characteristic data: Accuracy
- ISO 8000-120:2016 Data quality - Part 120: Master data: Exchange of characteristic data: Provenance
- ISO 8000-116:2019 Data quality — Part 116: Master data: Exchange of quality identifiers: Application of ISO 8000-115 to authoritative legal entity identifiers
- ISO 8000-150:2022 Data quality — Part 150: Data quality management: Roles and responsibilities
- ISO 8000-100:2016 Data quality - Part 100: Master data: Exchange of characteristic data: Overview
- ISO/TS 8000-140:2009 Data quality - Part 140: Master data: Exchange of characteristic data: Completeness
- ISO 8000-140:2016 Data quality - Part 140: Master data: Exchange of characteristic data: Completeness
- ISO 8000-61:2016 Data quality - Part 61: Data quality management: Process reference model
- ISO 5667-20:2008 Water quality - Sampling - Part 20: Guidance on the use of sampling data for decision making - Compliance with thresholds and classification systems
- ISO 8000-8:2015 Data quality - Part 8: Information and data quality: Concepts and measuring
- ISO 8000-51:2023 Data quality — Part 51: Data governance: Exchange of data policy statements
- ISO 8000-66:2021 Data quality - Part 66: Data quality management: Assessment indicators for data processing in manufacturing operations
- ISO/CD 8000-220:2003 Data quality
- ISO/DIS 8000-115:2024 Data quality
- ISO/IEC TS 38505-3:2021 Information technology — Governance of data — Part 3: Guidelines for data classification
- ISO/DIS 8000-118:2023 Data quality
- ISO/PRF 8000-114:2023 Data quality
- ISO/DIS 8000-210:2023 Data quality
- ISO 8000-114:2024 Data quality
- ISO/FDIS 8000-115:2024 Data quality
- ISO/TS 20281:2006 Water quality - Guidance on statistical interpretation of ecotoxicity data
- ISO/TS 8000-311:2012 Data quality - Part 311: Guidance for the application of product data quality for shape (PDQ-S)
- ISO/IEC 19944-1:2020 Cloud computing and distributed platforms ─ Data flow, data categories and data use-- Part 1:Fundamentals
- ISO 7168-1:1999 Air quality - Exchange of data - Part 1: General data format
- ISO 7168-2:1999 Air quality - Exchange of data - Part 2: Condensed data format
- ISO 8000-2:2022 Data quality — Part 2: Vocabulary
- ISO 8689-1:2000 Water quality - Biological classification of rivers - Part 1: Guidance on the interpretation of biological quality data from surveys of benthic macroinvertebrates
- ISO 8000-2:2018 Data quality — Part 2: Vocabulary
- ISO 8689-2:2000 Water quality - Biological classification of rivers - Part 2: Guidance on the presentation of biological quality data from surveys of benthic macroinvertebrates
- ISO 8000-2:2020 Data quality — Part 2: Vocabulary
- ISO/TS 8000-1:2011 Data quality - Part 1: Overview
- ISO/IEC CD 5259-2 Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 2: Data quality measures
- ISO 20469:2018 Guidelines for water quality grade classification for water reuse
- ISO 8000-110:2009 Data quality - Part 110: Master data: Exchange of characteristic data: Syntax, semantic encoding, and conformance to data specification
- ISO 8000-115:2018 Data quality - Part 115: Master data: Exchange of quality identifiers: Syntactic, semantic and resolution requirements
- ISO/IEC CD 5259-5:2023 Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 5: Data quality governance
- ISO 8000-110:2021 Data quality — Part 110: Master data: Exchange of characteristic data: Syntax, semantic encoding, and conformance to data specification
- ISO/TS 8000-110:2008 Data quality - Part 110: Master data: Exchange of characteristic data: Syntax, semantic encoding, and conformance to data specification
- ISO/IEC DIS 5259-2:2023 Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 2: Data quality measures
- ISO 8000-2:2012 Data quality - Part 2: Vocabulary
- ISO 8000-2:2017 Data quality - Part 2: Vocabulary
- ISO/IEC CD 5259-4 Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 4: Data quality process framework
Spanish Association for Standardization (UNE)
- UNE-ISO/TS 8000-81:2023 Data quality — Part 81: Data quality assessment: Profiling
- UNE-EN 16493:2015 Water quality - Nomenclatural requirements for the recording of biodiversity data, taxonomic checklists and keys
- UNE-ISO/TS 8000-82:2023 Data quality — Part 82: Data quality assessment: Creating data rules
- UNE-ISO/TS 8000-60:2023 Data quality — Part 60: Data quality management: Overview
- UNE-ISO 8000-63:2023 Data quality — Part 63: Data quality management: Process measurement
- UNE-ISO 8000-100:2023 Data quality — Part 100: Master data: Exchange of characteristic data: Overview
- UNE-ISO 8000-120:2023 Data quality — Part 120: Master data: Exchange of characteristic data: Provenance
- UNE-ISO 8000-150:2023 Data quality — Part 150: Data quality management: Roles and responsibilities
- UNE-ISO 8000-130:2023 Data quality — Part 130: Master data: Exchange of characteristic data: Accuracy
- UNE-ISO 8000-140:2023 Data quality — Part 140: Master data: Exchange of characteristic data: Completeness
- UNE-EN 61360-6:2017 Standard data element types with associated classification scheme for electric components - Part 6: IEC Common Data Dictionary (IEC CDD) quality guidelines (Endorsed by Asociación Española de Normalización in March of 2017.)
- UNE-ISO 8000-61:2023 Data quality — Part 61: Data quality management: Process reference model
- UNE-ISO 8000-8:2023 Data quality — Part 8: Information and data quality: Concepts and measuring
- UNE-ISO 8000-66:2023 Data quality — Part 66: Data quality management: Assessment indicators for data processing in manufacturing operations
- UNE-EN ISO 8689-1:2001 Water quality - Biological classification of rivers - Part 1: Guidance on the interpretation of biological quality data from surveys of benthic macroinvertebrates. (ISO 8689-1:2000)
- UNE-ISO/IEC TS 38505-3:2023 Information technology — Governance of data — Part 3: Guidelines for data classification
- UNE-EN ISO 8689-2:2001 Water quality - Biological classification of rivers - Part 2: Guidance on the presentation of biological quality data from surveys of benthic macroinvertebrates. (ISO 8689-2:2000)
- UNE-ISO/TS 8000-65:2023 Data quality — Part 65: Data quality management: Process measurement questionnaire
- UNE-ISO/TS 8000-311:2023 Data quality — Part 311: Guidance for the application of product data quality for shape (PDQ-S)
- UNE-EN 1691:1996 EDI. MESSAGE. QUALITY DATA MESSAGE (QALITY).
- UNE 199152-1:2016 Road traffic management equipment. Data quality. Data analysis. Part 1: Interurban Traffic data
- UNE 77214-2:2002 Air quality. Exchange of data. Part 2: Condensed data format.
- UNE-ISO 8000-1:2023 Data quality — Part 1: Overview
- UNE-ISO 8000-2:2023 Data quality — Part 2: Vocabulary
- UNE 111-916-1991 wheelchair. Classification according to various aspects of nature
- UNE-ISO 8000-110:2023 Data quality — Part 110: Master data: Exchange of characteristic data: Syntax, semantic encoding, and conformance to data specification
- ESPECIFICACION UNE 0079:2023 Data Quality Management
European Committee for Standardization (CEN)
- EN 16493:2014 Water quality - Nomenclatural requirements for the recording of biodiversity data, taxonomic checklists and keys
- prEN ISO 19157-3 Geographic information — Data quality — Part 3: Data quality measures register
- EN ISO 8689-2:2000 Water Quality - Biological Classification of Rivers - Part 2: Guidance on the Presentation of Biological Quality Data from Surveys of Benthic Macroinvertebrates ISO 8689-2: 2000
- EN 1545-1:2005 Identification card systems - Surface transport applications - Part 1: Elementary data types, general code lists and general data elements
CZ-CSN
- CSN 75 7221-1998 Water quality - Classification of surface water quality
- CSN 75 7600-2003 Water quality - Determination of radionuclides - General data
- CSN 757600-2003 Water quality - Determination of radionuclides - General data
- CSN 73 6805-1975 Hydrological data of surfaeo water
- CSN 75 1400-1997 Hydrological data on surface water
- CSN 73 6561-1986 Hydrological data of groundwater
- CSN 80 3007-1984 Classlfication of textile products according to quality
Danish Standards Foundation
- DS 2394-1:1998 Lexical data collections - Description of data categories and data structure - Part 1: Taxonomy for the classification of information types
- DS/EN ISO 8689-1:2000 Water quality - Biological classification of rivers - Part 1: Guidance on the interpretation of biological quality data from surveys of benthic macroinvertebrates
- DS/EN ISO 8689-2:2000 Water quality - Biological classification of rivers - Part 2: Guidance on the presentation of biological quality data from surveys of benthic macroinvertebrates
- DS/ISO 5667-20:2008 Water quality - Sampling - Part 20: Guidance on the use of sampling data for decision making - Compliance with thresholds and classification systems
- DS/ISO/IEC 19944-1:2020 Cloud computing and distributed platforms ─ Data flow, data categories and data use – Part 1: Fundamentals
Korean Agency for Technology and Standards (KATS)
- KS I ISO 8689-2-2006(2016) Water quality-Biological classification of rivers-Part 2:Guidance on the presentation of biological quality data from surveys of benthic macroinvertebrates
- KS I ISO 8689-1-2006(2016) Water quality-Biological classification of rivers-Part 1:Guidance on the interpretation of biological quality data from surveys of benthic macroinvertebrates
- KS I ISO 5667-20-2019 Water quality ― Sampling ― Part 20: Guidance to the use of sampling data for decision making ― Compliance with thresholds and classification systems
- KS I ISO 8689-1-2021 Water quality-Biological classification of rivers-Part 1:Guidance on the interpretation of biological quality data from surveys of benthic macroinvertebrates
- KS I ISO 8689-1-2006(2021) Water quality-Biological classification of rivers-Part 1:Guidance on the interpretation of biological quality data from surveys of benthic macroinvertebrates
- KS I ISO 8689-2-2021 Water quality-Biological classification of rivers-Part 2:Guidance on the presentation of biological quality data from surveys of benthic macroinvertebrates
- KS I ISO 8689-2-2006(2021) Water quality-Biological classification of rivers-Part 2:Guidance on the presentation of biological quality data from surveys of benthic macroinvertebrates
- KS X ISO TS 8000-120-2013(2018) Data quality-Part 120:Master data:Exchange of characteristic data:Provenance
- KS X ISO TS 8000-120-2023 Data quality-Part 120:Master data:Exchange of characteristic data:Provenance
- KS X ISO 8000-102-2023 Data quality-Part 102:Master data:Exchange of characteristic data:Vocabulary
- KS X ISO 8000-102-2013(2018) Data quality-Part 102:Master data:Exchange of characteristic data:Vocabulary
- KS X ISO TS 8000-130-2013(2018) Data quality-Part 130:Master data:Exchange of characteristic data:Accuracy
- KS X ISO TS 8000-100-2013(2018) Data quality-Part 100:Master data:Exchange of characteristic data:Overview
- KS X ISO TS 8000-100-2023 Data quality-Part 100:Master data:Exchange of characteristic data:Overview
- KS X ISO 8000-8:2021 Data quality — Part 8: Information and data quality: Concepts and measuring
- KS X ISO TS 8000-120:2013 Data quality-Part 120:Master data:Exchange of characteristic data:Provenance
- KS X ISO TS 8000-140-2013(2018) Data quality-Part 140:Master data:Exchange of characteristic data:Completeness
- KS X ISO TS 8000-100:2013 Data quality-Part 100:Master data:Exchange of characteristic data:Overview
- KS X ISO TS 8000-140-2023 Data quality-Part 140:Master data:Exchange of characteristic data:Completeness
- KS X ISO 8000-102:2013 Data quality-Part 102:Master data:Exchange of characteristic data:Vocabulary
- KS X ISO 8000-61-2023 Data quality — Part 61: Data quality management: Process reference model
- KS X ISO TS 8000-130-2023 Data quality-Part 130:Master data:Exchange of characteristic data:Accuracy
- KS I ISO 5667-20:2009 Water quality-Sampling-Part 20:Guidance on the use of sampling data for decision making-Compliance with thresholds and classification systems
- KS X ISO 8000-61:2018 Data quality — Part 61: Data quality management: Process reference model
- KS X ISO TS 8000-65:2021 Data quality — Part 65: Data quality management: Process measurement questionnaire
- KS X ISO TS 8000-130:2013 Data quality-Part 130:Master data:Exchange of characteristic data:Accuracy
- KS I ISO 5667-20-2009(2019) Water quality-Sampling-Part 20:Guidance on the use of sampling data for decision making-Compliance with thresholds and classification systems
- KS X ISO 8000-110:2013 Data quality-Part 110:Master data:Exchange of characteristic data:Syntax, semantic encoding, and conformance to data specification
- KS I ISO 7168-2-2007(2017) Air quality-Exchange of data-Part 2:Condensed data format
- KS X ISO TS 8000-1:2013 Data quality-Part 1:Overview
- KS I ISO 7168-2:2022 Air quality — Exchange of data — Part 2: Condensed data format
- KS I ISO 7168-1:2022 Air quality — Exchange of data — Part 1: General data format
- KS I ISO 7168-1:2017 Air quality-Exchange of data-Part 1:General data format
- KS I ISO 8689-2:2006 Water quality-Biological classification of rivers-Part 2:Guidance on the presentation of biological quality data from surveys of benthic macroinvertebrates
- KS X ISO 8000-110-2023 Data quality-Part 110:Master data:Exchange of characteristic data:Syntax, semantic encoding, and conformance to data specification
- KS X 6042-2014 XML Schema — Part 2: Datatypes
- KS I ISO 8689-1:2006 Water quality-Biological classification of rivers-Part 1:Guidance on the interpretation of biological quality data from surveys of benthic macroinvertebrates
- KS I ISO 7168-2:2007 Air quality-Exchange of data-Part 2:Condensed data format
- KS I ISO 7168-1:2007 Air quality-Exchange of data-Part 1:General data format
- KS X ISO TS 8000-1-2023 Data quality-Part 1:Overview
- KS X ISO TS 8000-1-2013(2018) Data quality-Part 1:Overview
- KS X ISO 8000-2:2022 Data quality — Part 2: Vocabulary
- KS X 6042-2014(2019) XML Schema — Part 2: Datatypes
- KS X 6042-2019 XML Schema — Part 2: Datatypes
- KS X ISO 8000-110-2013(2018) Data quality-Part 110:Master data:Exchange of characteristic data:Syntax, semantic encoding, and conformance to data specification
RU-GOST R
- GOST R 56215-2014 Data quality. Part 150. Master data. Quality management framework
- GOST R 54911-2012 Data qulity. Part 120. Master data. Exchange of characteristic data. Provenance
- GOST R 57773-2017 Spatial data. Data quality
- GOST R ISO 8000-102-2011 Data qulity. Part 102. Master data. Exchange of characteristic data. Vocabulary
- GOST R 54524-2011(2018) Data qulity. Part 100. Master data. Exchange of characteristic data. Overview
- GOST R 54524-2011 Data qulity. Part 100. Master data. Exchange of characteristic data. Overview
- GOST R 54525-2011 Data quality. Part 130. Master data. Exchange of characteristic data. Accuracy
- GOST R 54525-2011(2019) Data quality. Part 130. Master data. Exchange of characteristic data. Accuracy
- GOST R 54526-2011 Data quality. Part 140. Master data. Exchange of characteristic data. Completeness
- GOST R 54526-2011(2019) Data quality. Part 140. Master data. Exchange of characteristic data. Completeness
- GOST R 56216-2014 Data quaity. Part 311. Guidance for the application of product data quality for shape (PDQ-S)
- GOST R ISO 7168-1-2005 Air quality. Exchange of data. Part 1. General data format
- GOST R ISO 7168-2-2005 Air quality. Exchange of data. Part 2. Condensed data format
- GOST R ISO 8000-2-2014 Data qulity. Part 2. Vocabulary
- GOST R 56214-2014 Data qulity. Part 1. Overview
- GOST R ISO/TS 8000-1-2009 Data quality. Part 1. Overview
- GOST R ISO 8000-110-2011 Data quality. Part 110. Master data. Exchange of characteristic data. Syntax, semantic encoding, and conformance to data specification
GSO
- BH GSO ISO/TS 8000-150:2017 Data quality -- Part 150: Master data: Quality management framework
- BH GSO ISO 8689-1:2016 Water quality - Biological classification of rivers - Part 1: Guidance on the interpretation of biological quality data from surveys of benthic macroinvertebrates
- OS GSO ISO 8689-1:2013 Water quality - Biological classification of rivers - Part 1: Guidance on the interpretation of biological quality data from surveys of benthic macroinvertebrates
- OS GSO ISO/TS 8000-150:2015 Data quality -- Part 150: Master data: Quality management framework
- GSO ISO/TS 8000-150:2015 Data quality -- Part 150: Master data: Quality management framework
- BH GSO ISO 8689-2:2016 Water quality - Biological classification of rivers - Part 2: Guidance on the presentation of biological quality data from surveys of benthic macroinvertebrates
- GSO ISO 8689-1:2013 Water quality - Biological classification of rivers - Part 1: Guidance on the interpretation of biological quality data from surveys of benthic macroinvertebrates
- GSO ISO 5667-20:2015 Water quality -- Sampling -- Part 20: Guidance on the use of sampling data for decision making -- Compliance with thresholds and classification systems
- BH GSO ISO 8000-61:2022 Data quality — Part 61: Data quality management: Process reference model
- GSO ISO 8689-2:2013 Water quality - Biological classification of rivers - Part 2: Guidance on the presentation of biological quality data from surveys of benthic macroinvertebrates
- GSO ISO 8000-61:2021 Data quality — Part 61: Data quality management: Process reference model
- BH GSO ISO/TS 8000-311:2017 Data quality -- Part 311: Guidance for the application of product data quality for shape (PDQ-S)
- GSO ISO/TS 8000-311:2015 Data quality -- Part 311: Guidance for the application of product data quality for shape (PDQ-S)
- BH GSO ISO/TS 20281:2016 Water quality -- Guidance on statistical interpretation of ecotoxicity data
- GSO ISO 14402:2013 Water quality -- Determination of phenol index by flow analysis (FIA and CFA)
- OS GSO ISO/TS 8000-311:2015 Data quality -- Part 311: Guidance for the application of product data quality for shape (PDQ-S)
- GSO ISO/TS 20281:2013 Water quality -- Guidance on statistical interpretation of ecotoxicity data
- OS GSO ISO 7168-2:2016 Air quality -- Exchange of data -- Part 2: Condensed data format
- GSO ISO 7168-1:2016 Air quality -- Exchange of data -- Part 1: General data format
- BH GSO ISO 7168-2:2017 Air quality -- Exchange of data -- Part 2: Condensed data format
- OS GSO ISO 7168-1:2016 Air quality -- Exchange of data -- Part 1: General data format
- GSO ISO 7168-2:2016 Air quality -- Exchange of data -- Part 2: Condensed data format
- GSO OIML R83:2008 Gas chromatograph/mass spectrometer systems for the analysis of organic pollutants in water
- GSO ISO/IEC 19944-1:2024 Cloud computing and distributed platforms ─ Data flow, data categories and data use — Part 1: Fundamentals
API - American Petroleum Institute
- API PUBL 4476-1989 Hydrogeologic Database for Ground Water Modeling
KR-KS
- KS X ISO 8000-102-2013(2023) Data quality-Part 102:Master data:Exchange of characteristic data:Vocabulary
- KS X ISO TS 8000-100-2013(2023) Data quality-Part 100:Master data:Exchange of characteristic data:Overview
- KS X ISO TS 8000-120-2013(2023) Data quality-Part 120:Master data:Exchange of characteristic data:Provenance
- KS X ISO TS 8000-140-2013(2023) Data quality-Part 140:Master data:Exchange of characteristic data:Completeness
- KS X ISO 8000-61-2018(2023) Data quality — Part 61: Data quality management: Process reference model
- KS X ISO TS 8000-65-2021 Data quality — Part 65: Data quality management: Process measurement questionnaire
- KS X ISO 8000-61-2018 Data quality — Part 61: Data quality management: Process reference model
- KS X ISO TS 8000-130-2013(2023) Data quality-Part 130:Master data:Exchange of characteristic data:Accuracy
- KS X ISO 8000-8-2021 Data quality — Part 8: Information and data quality: Concepts and measuring
- KS I ISO 7168-2-2022 Air quality — Exchange of data — Part 2: Condensed data format
- KS I ISO 7168-1-2017 Air quality-Exchange of data-Part 1:General data format
- KS I ISO 7168-1-2022 Air quality — Exchange of data — Part 1: General data format
- KS X ISO 8000-2-2022 Data quality — Part 2: Vocabulary
- KS X ISO TS 8000-1-2013(2023) Data quality-Part 1:Overview
GOSTR
- GOST R ISO 8000-100-2019 Data quality. Part 100. Master data. Exchange of characteristic data. Overview
- GOST R ISO 8000-2-2019 Data quality. Part 2. Vocabulary
International Electrotechnical Commission (IEC)
- IEC 61360-3:1995 Standard data element types with associated classification scheme for electric components - Part 6: IEC Common Data Dictionary (IEC CDD) quality guidelines
- IEC 61360-6:2016 Standard data element types with associated classification scheme for electric components - Part 6: IEC Common Data Dictionary (IEC CDD) quality guidelines
GOST
- GOST R 70139-2022 Data centers. Facilities. Classification
US-FCR
- FCR COE ER 1130-2-415-1976 WATER QUALITY DATA COLLECTION, INTERPRETATION, AND APPLICATION ACTIVITIES
PT-IPQ
- NP 3003/4-1988 data processing. Vocabulary category. Part 4: Organization of Data
- NP 3003/5-1988 data processing. Vocabulary category. Part 5: Representation of data
NZS
- SA/SNZ TS ISO/IEC 38505.3:2023 Information technology — Governance of data; Part 3: Guidelines for data classification
Standard Association of Australia (SAA)
- AS ISO/IEC 11179.2:2005 Information technology - Metadata registries (MDR) - Classification for data elements
- AS ISO IEC 11179.2:2005 Information technology - Metadata registries (MDR), Part 2: Classification for data elements
- AS ISO/IEC 5259.4:2024 Artificial intelligence - Data quality for analytics and machine learning (ML), Part 4: Data quality process framework
European Committee for Electrotechnical Standardization(CENELEC)
- EN 61360-6:2017 Standard data element types with associated classification scheme for electric components - Part 6: IEC Common Data Dictionary (IEC CDD) quality guidelines
Lithuanian Standards Office
- LST EN ISO 8689-1:2000 Water quality - Biological classification of rivers - Part 1: Guidance on the interpretation of biological quality data from surveys of benthic macroinvertebrates (ISO 8689-1:2000)
- LST EN ISO 8689-2:2000 Water quality - Biological classification of rivers - Part 2: Guidance on the presentation of biological quality data from surveys of benthic macroinvertebrates (ISO 8689-2:2000)
VN-TCVN
- TCVN 6966-1-2001 Water quality.Biological classification of rivers.Part 1: Guidance on the interpretation of biological quality data from surveys ofbenthic macroinvertebrates
- TCVN 6966-2-2001 Water quality.Biological classification of rivers.Part 2: Guidance on the presentation of biological quality data from surveys of benthic macroinvertebrates
American Society for Testing and Materials (ASTM)
- ASTM E2078-00(2005) Standard Guide for Analytical Data Interchange Protocol for Mass Spectrometric Data
- ASTM E2077-00 Standard Specification for Analytical Data Interchange Protocol for Mass Spectrometric Data
- ASTM E2078-00 Standard Guide for Analytical Data Interchange Protocol for Mass Spectrometric Data
- ASTM E2077-00(2005) Standard Specification for Analytical Data Interchange Protocol for Mass Spectrometric Data
- ASTM E2077-00(2010) Standard Specification for Analytical Data Interchange Protocol for Mass Spectrometric Data
- ASTM E2077-00(2016) Standard Specification for Analytical Data Interchange Protocol for Mass Spectrometric Data
- ASTM E2078-00(2010) Standard Guide for Analytical Data Interchange Protocol for Mass Spectrometric Data
- ASTM E2078-00(2016) Standard Guide for Analytical Data Interchange Protocol for Mass Spectrometric Data
SAE - SAE International
- SAE J2178-2-2011 Class B Data Communication Network Messages - Part 2: Data Parameter Definitions
- SAE J2178-2-1999 Class B Data Communication Network Messages Part 2: Data Parameter Definitions
- SAE J2178-2-1997 Class B Data Communication Network Messages Part 2: Data Parameter Definitions
- SAE J2178/2-1993 Class B Data Communication Network Messages Part 2: Data Parameter Definitions@ Recommended Practice
AT-ON
- ONORM M 6245-1997 Water analysis - Summary of methods - Limits of detection, fields of application, Statistical data
Society of Automotive Engineers (SAE)
- SAE J2178/2-1999 Class B Data Communication Network Messages - Part 2: Data Parameter Definitions
- SAE J2178/2-2004 Class B Data Communication Network Messages - Part 2: Data Parameter Definitions
- SAE J2178-2-2004 Class B Data Communication Network Messages Part 2: Data Parameter Definitions
- SAE J2178/2-1997 Class B Data Communication Network Messages Part 2: Data Parameter Definitions
- SAE J2178/2-2011 Class B Data Communication Network Messages - Part 2: Data Parameter Definitions
- SAE EIA-591-2015 Assessment of Quality Levels in PPM Using Variables Test Data
American Society of Mechanical Engineers (ASME)
- ASME Y14.34M-1989 Parts lists, data lists, and index lists
SG-SPRING SG1
- TR 41-2015 Data quality metrics
(U.S.) Ford Automotive Standards
- FORD D-8-2008 PRODUCT DATA QUALITY
US-Unspecified Preparing Activity
- DI-SESS-81902-2013 LEVEL OF REPAIR ANALYSIS (LORA) DATA TABLES
BSI
- DANSK DS/ISO/IEC 5259-4:2024 Artificial intelligence – Data quality for analytics and machine learning (ML) – Part 4: Data quality process framework
VDI - Verein Deutscher Ingenieure
- VDI 4010 Blatt 2-1995 Types of data for use in reliability data systems
American National Standards Institute (ANSI)
- ANSI/EIA 591:1992(2002) Assessment of Quality Levels in PPM Using Variables Test Data
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