LY/T 2924-2017 English PDFUS$229.00 · In stock
Delivery: <= 3 days. True-PDF full-copy in English will be manually translated and delivered via email. LY/T 2924-2017: Forestry data quality - Inspection and acceptance of data achievements Status: Valid
Basic dataStandard ID: LY/T 2924-2017 (LY/T2924-2017)Description (Translated English): Forestry data quality - Inspection and acceptance of data achievements Sector / Industry: Forestry Industry Standard (Recommended) Classification of Chinese Standard: B60 Classification of International Standard: 65.020.40 Word Count Estimation: 10,173 Date of Issue: 2017-10-27 Date of Implementation: 2018-01-01 Regulation (derived from): National Forestry Admistration Notice 2017 No. 18; Industry Standard Filing Notice No. 12 (Total No. 216) Issuing agency(ies): State Forestry Administration LY/T 2924-2017: Forestry data quality - Inspection and acceptance of data achievements---This is a DRAFT version for illustration, not a final translation. Full copy of true-PDF in English version (including equations, symbols, images, flow-chart, tables, and figures etc.) will be manually/carefully translated upon your order.Forestry data quality—Inspection and acceptance of data achievements ICS 65.020.40 B65 People's Republic of China Forestry Industry Standard Forestry data quality data results inspection and acceptance Released on.2017-10-27 2018-01-01 implementation State Forestry Administration released ContentForeword I 1 Scope 1 2 Terms and Definitions 1 3 Overview 1 4 Inspection and acceptance basic requirements 3 5 Inspection and acceptance core work 3 6 Acceptance results and processing 4 Appendix A (informative appendix) Acceptance report content template 6 Reference 7ForewordThis standard was drafted in accordance with the rules given in GB/T 1.1-2009. This standard was proposed by the Information Center of the State Forestry Administration. This standard is under the jurisdiction of the National Forestry Information Data Standardization Technical Committee (SAC/TC386). This standard was drafted. Institute of Resource Information, Chinese Academy of Forestry, Information Center of the State Forestry Administration, China National Institute of Standardization. The main drafters of this standard. Hou Ruixia, Huang Shuisheng, Hu Shuping, Liu Pengju, Tang Xiaoming, Luo Peng, Pang Lifeng, Gu Hongbo, Bai Ying, Sun Zhaoyang, Cheng Yue, Yu Yuan. Forestry data quality data results inspection and acceptance1 ScopeThis standard stipulates the basic requirements, core work, and acceptance results of the forestry information data inspection and acceptance. Claim. This standard is applicable to the inspection and acceptance of forestry information data results, and can be used as a reference for project acceptance.2 Terms and definitionsThe following terms and definitions apply to this document. 2.1 Data achievement dataachievements A collection of information that conforms to product specifications, consisting of forestry data and additional materials. 2.2 Data submitter datasubmitter In the process of inspection and acceptance of forestry information data, the data is submitted for inspection and acceptance. 2.3 Acceptance acceptor In the process of inspection and acceptance of forestry information data results, the unit responsible for inspection and acceptance of data results.3 Overview3.1 Inspection acceptance basis The inspection acceptance basis shall contain quantifiable indicators, and the inspection acceptance basis includes but is not limited to. a) relevant project work contract, agreement or task book; b) Inspection and acceptance work at the acceptance stage shall be based on inspection and acceptance work standards; c) The quality indicators for inspection and acceptance should be based on relevant standards, guidelines, specifications or related requirements. 3.2 Inspection and acceptance methods The inspection and acceptance of forestry information shall be carried out by means of a combination of self-inspection by the data submitter and verification by the inspection party. among them. a) Self-test After the data production is completed, the data submitting party will conduct a comprehensive inspection of the data by itself, by the organization experts or by the relevant agencies. 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