Technical Systems Audit

Term · Environment · MLC-T-ENV-027731

1. A thorough, systematic, on-site qualitative audit of facilities, equipment, personnel, training, procedures, record keeping, data validation, data management, and reporting aspects of a system.

2. A thorough, systematic, onsite, qualitative audit of facilities, equipment, personnel, training, procedures, record keeping, data validation, data management, and reporting aspects of a system.

3. A thorough, systematic, on-site, qualitative audit of facilities, equipment, personnel, training, procedures, record keeping, data validation, data management, and reporting aspects of a system. {ORD}

4. A technical audit or assessment is a systematic and objective examination of a program or project to determine whether environmental data collection activities and related results comply with the project's quality assurance project plan and other planning documents, are implemented effectively, and are suitable to achieve its data quality goals. {OPP} {OAR/OAQPS} {ORCR}

5. A thorough, systematic, on-site, qualitative audit of facilities, equipment, personnel, training, procedures, record keeping, data validation, data management, and reporting aspects of program or project to determine whether environmental data collection activities and related results comply with the project's quality assurance project plan and other planning documents, are implemented effectively, and are suitable to achieve its data quality goals. {OW/EAD}

Table 1. Record
Identifier	MLC-T-ENV-027731
Field	Environment
Subject	Policy and guidance
Abbreviation	TSA
References	Guidance for Quality Assurance Project Plans; Great Lakes: Quality Management Training - Data Review Glossary; Great Lakes: Quality Management Training - Quality Glossary; Glossary: Study of the Potential Impacts of Hydraulic Fracturing on Drinking Water Resources; Forum on Environmental Measurements (FEM) Glossary

Record as JSON

{
  "id": "MLC-T-ENV-027731",
  "term": "Technical Systems Audit",
  "field": "Environment",
  "definition": "1. A thorough, systematic, on-site qualitative audit of facilities, equipment, personnel, training, procedures, record keeping, data validation, data management, and reporting aspects of a system.\n\n2. A thorough, systematic, onsite, qualitative audit of facilities, equipment, personnel, training, procedures, record keeping, data validation, data management, and reporting aspects of a system.\n\n3. A thorough, systematic, on-site, qualitative audit of facilities, equipment, personnel, training, procedures, record keeping, data validation, data management, and reporting aspects of a system. {ORD}\n\n4. A technical audit or assessment is a systematic and objective examination of a program or project to determine whether environmental data collection activities and related results comply with the project's quality assurance project plan and other planning documents, are implemented effectively, and are suitable to achieve its data quality goals. {OPP} {OAR/OAQPS} {ORCR}\n\n5. A thorough, systematic, on-site, qualitative audit of facilities, equipment, personnel, training, procedures, record keeping, data validation, data management, and reporting aspects of program or project to determine whether environmental data collection activities and related results comply with the project's quality assurance project plan and other planning documents, are implemented effectively, and are suitable to achieve its data quality goals. {OW/EAD}",
  "abbreviation": "TSA",
  "subject": "Policy and guidance",
  "references": [
    "Guidance for Quality Assurance Project Plans; Great Lakes: Quality Management Training - Data Review Glossary; Great Lakes: Quality Management Training - Quality Glossary",
    "Glossary: Study of the Potential Impacts of Hydraulic Fracturing on Drinking Water Resources",
    "Forum on Environmental Measurements (FEM) Glossary"
  ],
  "url": "https://mlchart.com/terminology/environment/technical-systems-audit/"
}

Record 27,731 of 30,736 in Environment terminology (MLC-0121). Request the full dataset.