Guide to Data Quality

Guide to Data Quality

Creator(s)

Organisation(s)

Discipline(s)

Teaching & Learning

Topic(s)

Learning Analytics, Student Success

License

CC BY

Media Format

PDF

Keywords

Data QualityLearning analyticsORLAstudent success

Submitted by

Description

Data quality is a major challenge for most institutions as they begin to develop a data-enabled approach, but it is a critical early step. Any answers generated by your data will only be as accurate as the data itself. This resources highlights some of the key steps to ensuring the quality of the data you have access to.

Benefit of this resource and how to make the best use of it

Data quality is a major challenge for most institutions as they begin to develop a data-enabled approach, but it is a critical early step. Any answers generated by your data will only be as accurate as the data itself. This resources highlights some of the key steps to ensuring the quality of the data you have access to.

Related OER

This collection of resources explain how Mahara can be use in practical terms as an e-portfolio. The resources are a collection of staff and student facing guides.

Making Use of Mahara

CC BY-NC-SA

Future proof your curriculum by embedding sustainability into your teaching practice or further integrating the Sustainable Development Goals (SDGs) into your curriculum. The SDG digital toolkit project will give you concise actionable resources to achieve this result while providing insights into the underpinning theories.

SDG Toolkit

CC BY-NC
Report an Issue

Name