The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Social Anxiety Disorder across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony.
In the field of social sciences, longitudinal studies are critical for understanding how various factors and circumstances influence people over time. Researchers dealing with mental health concerns such as Social Anxiety Disorder can now turn to Harmony Discovery tool for their research requirements. Harmony Discovery enhances the process of finding relevant data sets by employing advanced methods like large language models. These models enable the tool to trace and match necessary information, such as questionnaire items and variable names in complex data sets.
Harmony is directly linked to multiple data sources, such as the UKLLC, Closer, the Catalogue of Mental Health Measures, HDR UK, and ADR UK. This widespread access allows it to provide a comprehensive range of data sets from various subject areas, including those concerning Social Anxiety Disorder.
For instance, Harmony’s resources include data sets such as ‘Parental anxiety: Cognitive-behavioural processes in the intergenerational transmission of fear to children’ and ‘The Impact of Social Anxiety and Instruction on Avoidance, 2021-2022’. These resources provide valuable insights into the quandary of anxiety disorders, their effects on children, and their association with chronic worry.
Harmony Discovery, thus, serves as an essential tool for social sciences researchers. Its connections with various data sources and its ability to use large language models make it an effective tool for discovering datasets on specific subjects, including but not limited to Social Anxiety Disorder.
With the use of Harmony Discovery, researchers can now spend less time searching for data, and more time making critical advancements in the understanding of Social Anxiety Disorder.
