DataONE Data Management Module 05: Data Quality Control and Assurance

Key Info
Description - a brief synopsis, abstract or summary of what the learning resource is about: 

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. This 30-40 minute lesson includes a downloadable presentation (PPT or PDF) with supporting hands-on exercise and handout.

Authoring Organization(s) Name: 
DataONE Community Engagement and Outreach Working Group
License - link to legal statement specifying the copyright status of the learning resource: 
Creative Commons 0 - CC0 "No Rights Reserved" (Public Domain)
Access Cost: 
No fee
Citation - format of the preferred citation for the learning resource: 
DataONE Community Engagement & Outreach Working Group (2017) "Data Quality Control and Assurance". Accessed at https://dataoneorg.github.io/Education/lessons/05_qaqc/ on Jun 01, 2018
Primary language(s) in which the learning resource was originally published or made available: 
English
More info about
Keywords - short phrases describing what the learning resource is about: 
Data collection
Data life cycle
Data management
Published / Broadcast: 
Tuesday, May 1, 2012
Created: 
Tuesday, May 1, 2012
Publisher - organization credited with publishing or broadcasting the learning resource: 
DataONE
Version - revision or edition number or date associated with a learning resource: 
v2 - 09.22.2012
Media Type - designation of the form in which the content of the learning resource is represented, e.g., moving image: 
Presentation - representation of the particular way in which an author shows, describes or explains one or more concepts, e.g., a set of Powerpoint slides.
Contributor Organization(s): 
Name: 
DataONE
Type: 
Final Product
Contact Person(s): 
Amber E. Budden
Contact Organization(s): 
DataONE
Educational Info
Purpose - primary educational reason for which the learning resource was created: 
Instruction - detailed information about aspects or processes related to data management.
Learning Resource Type - category of the learning resource from the point of view of a professional educator: 
Unit - long-range plan of instruction on a particular concept containing multiple, related lessons.
Intended time to complete - approximate amount of time the average student will take to complete the learning resource: 
Up to 1 hour
Framework - A community-based organization plan or set of steps for education or training: 
DataONE Education Modules
FAIR Data Principles
Framework Node: DataONE Data Life Cycle: 
Assure
Collect
Accessibility Features - available alternatives or enhancements to improve physical accessibility to learning resource: 
Transformation - features that allow the content to be changed for ease of access, e.g., by using large print fonts.