Teacher
View Resource
  • Number of visits 23
  • Number of saves 4
  • 0

Description

Overview:
Quality assurance and quality control are phrases used to describe activities that prevent errors from entering or staying in a data set. These activities ensure the quality of the data before it is collected, entered, or analyzed, as well as actively monitoring and maintaining the quality of data throughout the study. In this lesson, we define and provide examples of quality assurance, quality control, data contamination and types of errors that may be found in data sets. After completing this lesson, participants will be able to describe best practices in quality assurance and quality control and relate them to different phases of data collection and entry.
Subject:
Information Science, Higher Education
Level:
Graduate / Professional
Material Type:
Lesson
Author:
Provider:
DataONE
Date Added:
11/21/2020
License:
Public Domain Dedication Public Domain Dedication
Language:
English
Media Format:
Downloadable docs

Comments

Reviewers

Standards

No Alignments yet.

Evaluations

No evaluations yet.

Tags (4)