Data Review

Term · Environment · MLC-T-ENV-007333

1. A term with a different meaning to different persons. Clarification should be sought when this term is used during project planning and implementation. Examples of processes typically covered by this term include one or more of the following: data verification, data validation, and data quality assessment (see definitions).

2. A term with a different meaning to different persons. Clarification should be sought when this term is used during project planning and implementation. Examples of processes typically covered by this term include one or more of the following: data verification, data validation, and data quality assessment.

3. The evaluation process that determines the quality of reported analytical results. It involves examination of raw data (e.g., instrument output), quality control and method parameters, and statistical analyses by a professional with knowledge of the tests performed.

4. Evaluation process that determines the quality of reported analytical results. It involves examination of raw data (e.g., instrument output), quality control and method parameters, and statistical analyses by a professional with knowledge of the tests performed. [EPA/240/B-06/002]

Table 1. Record
Identifier	MLC-T-ENV-007333
Field	Environment
Subject	Ecosystems
References	Great Lakes: Quality Management Training - Data Review Glossary; Great Lakes: Quality Management Training - Quality Glossary; EPA/240/B-06/002; Environmental Sampling and Analytical Methods (ESAM) Program Glossary

Record as JSON

{
  "id": "MLC-T-ENV-007333",
  "term": "Data Review",
  "field": "Environment",
  "definition": "1. A term with a different meaning to different persons. Clarification should be sought when this term is used during project planning and implementation. Examples of processes typically covered by this term include one or more of the following: data verification, data validation, and data quality assessment (see definitions).\n\n2. A term with a different meaning to different persons. Clarification should be sought when this term is used during project planning and implementation. Examples of processes typically covered by this term include one or more of the following: data verification, data validation, and data quality assessment.\n\n3. The evaluation process that determines the quality of reported analytical results. It involves examination of raw data (e.g., instrument output), quality control and method parameters, and statistical analyses by a professional with knowledge of the tests performed.\n\n4. Evaluation process that determines the quality of reported analytical results. It involves examination of raw data (e.g., instrument output), quality control and method parameters, and statistical analyses by a professional with knowledge of the tests performed. [EPA/240/B-06/002]",
  "subject": "Ecosystems",
  "references": [
    "Great Lakes: Quality Management Training - Data Review Glossary",
    "Great Lakes: Quality Management Training - Quality Glossary",
    "EPA/240/B-06/002",
    "Environmental Sampling and Analytical Methods (ESAM) Program Glossary"
  ],
  "url": "https://mlchart.com/terminology/environment/data-review/"
}

Record 7,333 of 30,736 in Environment terminology (MLC-0121). Request the full dataset.