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 Quality, Learning analytics, ORLA, student 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

‘AT Hive’ is a web based resource by AHEAD that aims to impart information about the large area of Assistive Technology that supports students students with disabilities. These technologies and tools help people who may have challenges with reading, writing, organisation, motivation as well as much more so explore the wide range of apps and tools.

Guiding Framework for Embedding Student Success
The National Forum has developed this one-page guiding framework to inform conversations at institutional level in the development of approaches to embedding student success. The framework identifies three key pillars…
Report an Issue

Name
Menu