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The quality of self-service data analysis

The quality of self-service data analysis, Total:90 items.

The international standard classification for "The quality of self-service data analysis" includes: Quality management and quality assurance .

The Chinese standard classification for "The quality of self-service data analysis" includes: Standardization and Quality Management .


Group Standards of the People's Republic of China

  • T/QGCML 1818-2023 Objective teaching data auxiliary analysis system
  • T/IGRS 0011.3-2021 Quality analysis of internet terminal product based on big data Part Ⅲ: Data indicator
  • T/IGRS 0011.5-2021 Quality analysis of internet terminal product based on big data Part Ⅴ: Data analysis
  • T/IGRS 0011.2-2021 Quality analysis of internet terminal product based on big data Part Ⅱ: Data dictionary
  • T/SDIRAA 024-2021 Functional requirements of marine data quality control analysis system

国家市场监督管理总局、中国国家标准化管理委员会

  • GB/T 37708-2019 Quality management—Guidelines for successful data envelopment analysis of product

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 ISO/IEC 5259-4:2024 Artificial intelligence. Data quality for analytics and machine learning (ML) - Data quality process framework
  • BS ISO 8000-115:2024 Data quality - Master data: Exchange of quality identifiers: Syntactic, semantic and resolution requirements
  • BS ISO/IEC 5259-3:2024 Artificial intelligence. Data quality for analytics and machine learning (ML) - Data quality management requirements and guidelines
  • BS ISO 8000-115:2018(2022) Data quality Part 115 : Master data : Exchange of quality identifiers : Syntactic, semantic and resolution requirements
  • 23/30432295 DC BS ISO/IEC 5259-2. Artificial intelligence. Data quality for analytics and machine learning (ML) - Part 2. Data quality measures
  • BS ISO 8000-115:2018 Data quality - Master data: Exchange of quality identifiers: Syntactic, semantic and resolution requirements
  • 24/30452819 DC BS ISO/IEC 5259-5 Artificial intelligence - Data quality for analytics and machine learning (ML). Part 5: Data quality governance framework
  • 17/30337658 DC BS ISO 8000-115. Data quality. Part 115. Master data: Exchange of quality identifiers: Syntactic, semantic and resolution requirements

Spanish Association for Standardization (UNE)

International Telecommunication Union (ITU)

  • ITU-R BT.1364-1 FRENCH-2005 Format of ancillary data signals carried in digital component studio interfaces Format des signaux de donn閑s auxiliaires achemin閟 par les interfaces de studio de type en composantes num閞iques
  • ITU-T E.427-1993 COLLECTION AND STATISTICAL ANALYSIS OF SPECIAL QUALITY OF SERVICE OBSERVATION DATA FOR MEASUREMENTS OF CUSTOMER DIFFICULTIES IN THE INTERNATIONAL AUTOMATIC SERVICE
  • ITU-R BT.1364-3-2015 Format of ancillary data signals carried in digital component studio interfaces
  • ITU-R BT.1364-2015 Format of ancillary data signals carried in digital component studio interfaces

International Organization for Standardization (ISO)

  • ISO/IEC DIS 5259-2:2023 Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 2: Data quality measures
  • ISO/IEC CD 5259-2 Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 2: Data quality measures
  • ISO 8000-61:2016 Data quality - Part 61: Data quality management: Process reference model
  • ISO/IEC CD 5259-5:2023 Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 5: Data quality governance
  • ISO/IEC CD 5259-4 Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 4: Data quality process framework
  • ISO/IEC DIS 5259-4:2023 Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 4: Data quality process framework
  • ISO/IEC CD 5259-3 Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 3: Data quality management requirements and guidelines
  • ISO 7168-2:1999 Air quality - Exchange of data - Part 2: Condensed data format
  • ISO 7168-1:1999 Air quality - Exchange of data - Part 1: General data format
  • ISO/IEC DIS 5259-3:2023 Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 3: Data quality management requirements and guidelines
  • ISO/TS 8000-82:2022 Data quality — Part 82: Data quality assessment: Creating data rules
  • 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/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/CD 8000-210:2023 Data quality — Part 210: Part 210: Sensor data: Data quality characteristics
  • ISO/DIS 8000-114:2023 Data quality — Part 114: Master data: Application of ISO/IEC 21778 and ISO 8000-115 to portable data

BSI

  • DANSK DS/ISO/IEC 5259-4:2024 Artificial intelligence – Data quality for analytics and machine learning (ML) – Part 4: Data quality process framework

Standard Association of Australia (SAA)

  • AS ISO/IEC 5259.4:2024 Artificial intelligence - Data quality for analytics and machine learning (ML), Part 4: Data quality process framework
  • ISO/IEC 5259-4:2024 Artificial intelligence - Data quality for analytics and machine learning (ML) - Part 4: Data quality process framework
  • ISO 8000-115:2024 Data quality - Part 115: Master data: Exchange of quality identifiers: Syntactic, semantic and resolution requirements
  • ISO/IEC 5259-3:2024 Artificial intelligence - Data quality for analytics and machine learning (ML) - Part 3: Data quality management requirements and guidelines
  • AS ISO/IEC 5259.3:2024 Artificial intelligence - Data quality for analytics and machine learning (ML), Part 3: Data quality management requirements and guidelines

SCC

  • AWWA WQTC64099 Computer Assisted Quality Control of Real-time Water Quality Data
  • AENOR UNE 199152-1:2016 Equipment for traffic management. Data quality. Analysis of data. Part 1: Intercity traffic data.
  • AWWA JAW31573 Journal AWWA — Assessing the Quality of Flavor Profile Analysis Data
  • DANSK DS/ISO 8000-115:2024 Data quality – Part 115: Master data: Exchange of quality identifiers: Syntactic, semantic and resolution requirements
  • DANSK DS/ISO 8000-63:2020 Data quality – Part 63: Data quality management: Process measurement

VE-FONDONORMA

ITU-R - International Telecommunication Union/ITU Radiocommunication Sector

Korean Agency for Technology and Standards (KATS)

GSO

Association Francaise de Normalisation

KR-KS

German Institute for Standardization

  • DIN ISO 7168-2:1999 Air quality - Exchange of data - Part 2: Condensed data format (ISO 7168-2:1999)
  • 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 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)

American Society for Testing and Materials (ASTM)

  • ASTM E2077-00 Standard Specification 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 E2078-00 Standard Guide 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 E2077-00(2010) 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

RU-GOST R