Data Fluency: Developing a Health Research Data Dictionary

A Data Dictionary is a descriptive list of the name, the definition or expected meaning and the attributes / characteristics (often referred to as meta-data), of all data to be collected and analysed as part of health research. The purpose of a Data Dictionary is to provide a common set of concepts and terminology for health research data users and those who play a role in collecting the data, managing the data, overseeing or using the output of the research. It is therefore clearly the role of the researcher(s) to prepare a Data Dictionary for their research.

Given the benefits of using a Data Dictionary, it is highly recommended that all researchers, regardless of size of the study, prepare a data dictionary at the start of their study to guide their study design, data collection and analysis as well as providing a reference for any research collaborators, analysts, IT developers or those providing oversight both now and in the future.

Content covered includes:
We will cover the attributes/ characteristics of the data to be collected and why these attributes/ characteristics need to be included in the Data Dictionary. This includes concepts like Representation Class, Static vs Dynamic variables, Mandatory, Conditional and Optional collection.

You will be introduced to the guide for using the Data Dictionary templates that have been developed by the Helix Platform.

Who: This foundational level workshop introduces all researchers who may deal with Health Data (regardless of discipline) to the basics of a Health Research Data Dictionary. This workshop is open to Graduate Research students, researchers and staff from all Faculties and Divisions.

Learning Outcomes:
At the end of this workshop, participants will:
1. Have an understanding of the importance and role of a Data Dictionary in Health Research
2. Have an understanding of what attributes / characteristics of the data should be included in a Data Dictionary and why they are important
3. Have an understanding of key concepts such as Representation Class, Static vs Dynamic variables, Mandatory, Conditional and Optional collection
4. Be able to use the templates that have been developed to create a Data Dictionary by the Helix Platform

What you'll need: A computer with speakers and a microphone (note: webcams and dual monitors are recommended but not required). A web browser and Zoom are the only required software. A Zoom link and instructions will be sent to registrants 2 days prior to the workshop.

Note: This registration page is only open to Monash external affiliate partners, MASSIVE partners and users, Monash ARDC project partners and users.

Monash staff and Graduate Research students, please register through myDevelopment 


Wednesday, 15 February from 10:30am - 12.00pm AEDT 

Register by: Friday, 10 February, 11:55pm AEDT


Data Fluency: Developing a Health Research Data Dictionary

More Information
Contact NameData Fluency for Research
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