The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Depression across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony.
As researchers, when working on longitudinal studies about depression, finding the right dataset is an essential part of our journey. Harmony Discovery is a practical tool that assists researchers in the social sciences discover the perfect dataset for their topic. For example, if exploring ‘Depression’ as a topic of study, Harmony Discovery presents a collection of relevant datasets about longitudinal studies concerning depression.
Harmony Discovery uses large language models to match questionnaire items and variable names, which allow narrowing down your search to find the perfect dataset that aligns with your needs. Let’s look at a few examples of datasets regarding depression which can be found using Harmony Discovery:
Using Positive Simulation Training to Improve Predictions about the Future in Depression, 2019-2023. This study explores how depression is associated with a negative thinking pattern that influences how people perceive themselves, the world and the future.
Depression and Personal Goals: Cognitive and Emotional Anticipation, 2020-2021. This dataset investigates the cognitive representations and emotional anticipation related to goal achievement and how they differ based on the severity of depressive symptoms.
Harmony sources these datasets from an array of databases such as the UKLLC, Closer, the Catalogue of Mental Health Measures, HDR UK and ADR UK.
This power of linking researchers with vast and varied datasets makes Harmony Discovery an indispensable tool for anyone looking to investigate the psychological, physiological, societal and personal aspects of depression. So take a moment to explore this rich treasure trove of resources, and propel your depression-related research to the next level with Harmony Discovery.
