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Research Data Management & Discovery: Describing Your Datasets for Discovery in VIVO

This guide will assist you to manage and maximise the value of your research data throughout the research data lifecycle, from planning to publishing and everything in-between!

Ready to Describe Your Dataset or Research Collection?

You can describe & deposit your metadata in VIVO, the University's Research Data Discovery Portal anytime during the research data lifecycle, to comply with point 3.4.3. UTAS Management of Research Data Procedure

When you have completed the form, email it to 

Research Librarians can help you to describe your data sets, just send us an email

What Will My Metadata Look like In VIVO?


What Is Metadata?

'The metadata accompanying your data should be written for a user 20 years into the future ... Prepare the metadata for a user who is unfamiliar with your project, methods, or observations.'

Oak Ridge National Laboratory, Distributed Active Archive Center

Metadata Schemas

Metadata is usually structured according to existing standards or 'schemas'. The most common metadata schema is probably Dublin Core, developed in 1995.

There are several mandatory elements required for data descriptions submitted to the Research Data Discovery Service for harvesting by Research Data Australia. Discovery key elements include:

1. Title of dataset or data collection - unique ie. not the same as grant title

2. Description of dataset or data collection

3. Data creators

4.  Coverage dates

5. Grant Title (or Grant Number) & funding Body (if applicable)

6.  FOR codes

7. Storage and file information

8.  IP ownership & access statement

9.  Contact for access

10.  Keywords for discovery (free text & controlled vocabularies)

Data Wise Tip - Talk to a Research Librarian

Need help to describe your data?  Book a consultation with a Research Librarian and get advice fast!