EMOTE is in a testing phase and remains under development. Please direct any questions to emote-database@unimelb.edu.au.

Frequently asked questions

Requests for Data

Will I know who requested my data?
Can I approve who uses my data?

As a data owner, you have the option to opt in to be an admin on your dataset. This means that you will be able to approve who has access to your data. If you choose to be an admin, we ask that you respond to any data requests within three weeks. If you do note respond within three weeks, the EMOTE database team will decide whether to share the data without your input. If you choose not to opt in to be an admin on your dataset, this process will be handled solely by the EMOTE database team.

Will data users be able to contact me?

About EMOTE

Who created this database?

The EMOTE database was created by the Functions of Emotion in Everyday Life (FEEL) Lab at the Melbourne School of Psychological Sciences, University of Melbourne in collaboration with the Melbourne Data Analytics Platform (MDAP), and the Research Group of Quantitative Psychology and Individual Differences at KU Leuven. The team is Dr Elise Kalokerinos, Dr Daniel Russo-Batterham, Dr Peter Koval, Dr Paul Garrett, Ms Danielle Van Os, Dr Katharine Greenaway, Dr Aleks Michalewicz, Dr Jonathan Garber, and Professor Peter Kuppens.

Who is this database funded by?

This database would not be possible without the following contributors:

  • 2020 Collaboration Grant from the Melbourne Data Analytics Platform at the University of Melbourne
  • An Australian Research Council (ARC) Discovery Early Career Researcher Award (DE180100352) awarded to Elise Kalokerinos, an ARC Discovery Project (DP160102252) and Discovery Early Career Researcher Award (DE190100203) awarded to Peter Koval, an ARC Future Fellowship (FF190100300) awarded to Katharine Greenaway, and an ARC Discovery Project awarded to Katharine Greenaway and Elise Kalokerinos (DP190103072).

FEEL Lab

MDAP