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‎config.yml‎

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url: "/discover-data/depression-datasets-and-studies/"
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parent: Useful links
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weight: 70
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- name: Cohort studies on anxiety
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url: "/cohort-studies/anxiety/"
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parent: Useful links
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weight: 75
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- name: Tools
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weight: 50
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- name: Harmony

‎content/en/blog/clinical-trial-research-data-harmonisation.md‎ renamed to ‎content/en/clinical-trial-research-data-harmonisation.md‎

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---
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title: "Clinical trial and research data harmonisation principles"
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Discription: "Data harmonisation in clinical trials has emerged as a crucial practice to streamline processes, enhance collaboration, and extract meaningful insights. In this blog post, we will delve into the principles of clinical data harmonisation, exploring its significance in the realm of clinical research."
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date: 2024-05-13
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date: 2024-10-27
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author: "Vidhya Sudani"
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image: "/images/Clinical trial and research data harmonisation principles.webp"
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categories: ["data"]
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draft: true
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url: "/data-harmonisation/clinical-trial-research-data-harmonisation/"
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---
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‎content/en/blog/data-harmonisation-real-estate.md‎ renamed to ‎content/en/data-harmonisation-real-estate.md‎

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---
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title: Data Harmonisation in Real Estate
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date: 2026-06-05
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date: 2024-10-27
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categories: ["data"]
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image: "/images/13- How to extract and process data from questionnaires.svg"
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draft: true
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url: "/data-harmonisation/data-harmonisation-in-real-estate/"
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---
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# Overview
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Come up with a smarter data model to meet both your present and future business needs by enabling the right data analytics to harmonise your data in a direct and hassle-free way. Gain additional insight into your sales and marketing efforts, easily identify the pain points of everyone from your staff members and direct customers to investors and stakeholders – and understand how specific aspects of your real estate business are either contributing to the greater goal or detracting from it.
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Try Harmony today with a free, limited-time trial.
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Try Harmony today with a free, limited-time trial.

‎content/en/blog/international-cancer-data-harmonisation.md‎ renamed to ‎content/en/international-cancer-data-harmonisation.md‎

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title: "International cancer data harmonisation in 2024"
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categories: ["data"]
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image: "/images/18- International cancer data harmonisation - the state of 2024.svg"
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date: 2024-06-12
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draft: true
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date: 2024-10-27
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url: "/data-harmonisation/international-cancer-data-harmonisation/"
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---
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International cancer data harmonisation – The state of 2024

‎content/en/landing_studies/cohort-studies.md‎

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---
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title: Cohort Studies
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url: "/cohort-studies/"
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---
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## Cohort Studies
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Cohort studies are a fundamental research design in the social sciences and medical fields, providing impactful insights by following groups of individuals with common characteristics over time. These longitudinal studies allow researchers to explore the effects of various exposures, treatments, and behaviors on specific outcomes, such as the incidence of diseases or psychological changes.
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Given the complexity and volume of data involved in cohort studies, it's crucial for researchers to have efficient tools to discover relevant studies, datasets, and variables. This is where Harmony Discovery becomes indispensable. Leveraging cutting-edge large language models, Harmony Discovery revolutionizes the way researchers search for and access cohort studies.
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We are working on an extension to the Harmony tool, called [Harmony Discovery](https://harmonydiscovery.fastdatascience.com/), which will allow researchers to discover cohort studies via an integration with different data providers.
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{{< card heading="Try Harmony Discovery" copy="Find cohort studies on Harmony Discovery Beta" url="https://harmonydiscovery.fastdatascience.com/" >}}
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{{< htmlcode >}}
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<iframe src="https://www.veed.io/embed/b8eb93ee-5cca-4b09-8b5d-34b614cb0f58" width="744" height="504" frameborder="0" title="Harmony Discovery Beta" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>
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{{</ htmlcode >}}
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*Preview of Harmony Discovery - you can search by study design and topic to find cohort studies*
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## Unleashing the Power of Harmony Discovery
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Harmony Discovery is designed to assist researchers by matching questionnaire items and variable names to relevant datasets and studies. This innovative tool connects researchers with critical data sources, facilitating the discovery of pertinent cohort studies across various fields.
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### Key Features of Harmony Discovery
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1. **Comprehensive Data Sources:**
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Harmony Discovery is linked with several invaluable data platforms, including:
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- [UK Longitudinal Linkage Collaboration (UKLLC)](https://explore.ukllc.ac.uk): Provides data from diverse sectors, enabling profound insights into public health and social sciences.
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## Data sources used by Harmony Discovery
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* [HDR UK](https://www.healthdatagateway.org/)
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* [Catalogue of Mental Health Measures](https://www.cataloguementalhealth.ac.uk/)
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* [CLOSER](https://closer.ac.uk/)
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* [ADR UK](https://www.adruk.org/data-access/data-catalogue/)
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* [UKLLC](https://explore.ukllc.ac.uk)
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{{< card heading="Try Harmony" copy="Compare instruments with Harmony" url="https://harmonydata.ac.uk/app" >}}
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{{< youtube cEZppTBj1NI >}}
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- [Closer](https://www.closer.ac.uk): Specializes in understanding life development and influential factors across the UK.
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- [Catalogue of Mental Health Measures](https://www.cataloguementalhealth.ac.uk/): Offers an extensive collection of mental health-related measures across various cohorts.
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- [Health Data Research UK (HDR UK)](https://www.hdruk.ac.uk/): Delivers comprehensive health data to drive significant medical research.
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- [Administrative Data Research UK (ADR UK)](https://www.adruk.org/): Provides access to linked administrative data for research purposes.
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2. **Intelligent Matching:**
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Using advanced language models, Harmony Discovery goes beyond basic keyword searches. It intelligently matches semantic content, ensuring that researchers find the most relevant studies and variables that align with their research interests.
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3. **Cross-Disciplinary Utility:**
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Whether you are delving into public health, psychology, sociology, or another discipline, Harmony Discovery simplifies the process of identifying studies relevant to your specific domain by leveraging cohort data comprehensively.
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4. **Facilitates Longitudinal Insights:**
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By streamlining the discovery process, researchers can focus on analyzing longitudinal data to understand intricate relationships, track changes over time, and predict future trends.
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### Conclusion
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In the dynamic landscape of social and medical research, Harmony Discovery empowers researchers by providing an efficient pathway to uncovering relevant cohort studies. By tapping into extensive datasets and employing intelligent discovery tools, researchers can significantly enhance their research productivity and contribute valuable insights into their respective fields. Harmony Discovery stands as a pivotal resource for those aiming to discover, analyze, and interpret cohort study data effectively.
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## See also
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* [Cross Sectional Studies on Depression](/cross-sectional-studies/depression/)
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* [Cohort Studies on Depression](/cohort-studies/depression/)
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* [Cross Sectional Studies on Anxiety](/cross-sectional-studies/anxiety/)
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* [Cohort Studies on Anxiety](/cohort-studies/anxiety/)
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* [Cohort Studies](/cohort-studies/)
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* [Discover data on Harmony](/discover-data/)

‎content/en/landing_studies/cohort-studies_anxiety.md‎

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---
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title: Cohort Studies on Anxiety
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url: "/cohort-studies/anxiety/"
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---
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## Cohort Studies on Anxiety
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Anxiety is a prevalent mental health condition, characterized by excessive worry and fear that can disrupt daily activities and quality of life. According to the Diagnostic and Statistical Manual (DSM-5), experts define anxiety disorders by persistent and intense feelings of apprehension across various aspects of life for at least six months. Understanding the factors that contribute to anxiety disorders and identifying effective interventions are crucial areas of research in mental health.
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We are working on an extension to the Harmony tool, called [Harmony Discovery](https://harmonydiscovery.fastdatascience.com/), which will allow researchers to discover anxiety cohort studies via an integration with different data providers.
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{{< card heading="Try Harmony Discovery" copy="Find anxiety cohort studies on Harmony Discovery Beta" url="https://harmonydiscovery.fastdatascience.com/" >}}
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{{< htmlcode >}}
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<iframe src="https://www.veed.io/embed/b8eb93ee-5cca-4b09-8b5d-34b614cb0f58" width="744" height="504" frameborder="0" title="Harmony Discovery Beta" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>
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{{</ htmlcode >}}
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*Preview of Harmony Discovery - you can search by study design and topic to find anxiety cohort studies*
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One powerful approach for studying anxiety is through cohort studies. These longitudinal studies follow a group of participants over time, observing those sharing a common characteristic, such as a specific demographic or occupational trait. Cohort studies are particularly valuable in identifying potential causes of anxiety and understanding how various exposures or lifestyle factors impact the incidence and progression of anxiety disorders.
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## The Role of Harmony Discovery
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For researchers aiming to delve into anxiety cohort studies, **Harmony Discovery** presents an invaluable tool. Designed to assist researchers in the social sciences, Harmony Discovery employs advanced large language models to facilitate the search for relevant studies based on specific topics, such as anxiety.
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Harmony connects researchers with extensive data sources, including the UKLLC, Closer, the Catalogue of Mental Health Measures, HDR UK, and ADR UK. These sources house a wealth of data that researchers can use to uncover insights into mental health, including the prevalence, determinants, and outcomes related to anxiety.
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## Data sources used by Harmony Discovery
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* [HDR UK](https://www.healthdatagateway.org/)
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* [Catalogue of Mental Health Measures](https://www.cataloguementalhealth.ac.uk/)
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* [ADR UK](https://www.adruk.org/data-access/data-catalogue/)
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* [CLOSER](https://closer.ac.uk/)
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* [UKLLC](https://explore.ukllc.ac.uk)
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{{< card heading="Try Harmony" copy="Compare instruments with Harmony" url="https://harmonydata.ac.uk/app" >}}
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{{< youtube cEZppTBj1NI >}}
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## How Harmony Discovery Works
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Harmony Discovery stands out with its ability to:
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- **Match Questionnaire Items and Variables**: The platform uses AI-driven language models to align research queries with specific questionnaire items and variable names. This ensures that researchers can efficiently locate studies with traits pertinent to their specific interests in anxiety research.
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- **Broader Data Connections**: By consolidating data from various repositories, Harmony enables researchers to cross-reference and integrate findings, offering a fuller picture of anxiety research through cohort studies.
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## Leveraging Cohort Studies Through Harmony
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With its robust capabilities, Harmony Discovery empowers researchers to:
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1. **Identify Relevant Studies**: Quickly find cohort studies focusing on anxiety, enabling researchers to build upon existing findings and methodologies.
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2. **Discover Patterns and Trends**: Analyze data from multiple cohorts to identify patterns in anxiety incidence, prevalence, and progression, alongside potential influencing factors.
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3. **Enhance Collaboration**: Connect with other researchers and data across multiple platforms to foster collaboration and innovation in mental health research.
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In pursuit of a deeper understanding of anxiety and effective interventions, using tools like Harmony Discovery amplifies researchers’ ability to navigate the vast landscape of cohort studies. By integrating these resources, researchers can contribute to significant advances in addressing anxiety disorders and improving mental health outcomes.
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To begin exploring anxiety cohort studies, visit [Harmony Discovery](https://explore.ukllc.ac.uk) and start uncovering the insights trapped in diverse datasets waiting to drive forward the field of mental health research.
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'''
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## See also
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* [Cohort Studies on Depression](/cohort-studies/depression/)
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* [Longitudinal Studies on Depression](/longitudinal-studies/depression/)
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* [Longitudinal Studies](/longitudinal-studies/)
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* [Cohort Studies on Anxiety](/cohort-studies/anxiety/)
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* [Discover data on Harmony](/discover-data/)

‎content/en/landing_studies/cohort-studies_depression.md‎

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---
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title: Cohort Studies on Depression
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url: "/cohort-studies/depression/"
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---
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## Cohort Studies on Depression
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Depression, particularly in older adults, demands focused research due to its complex interaction with various risk factors and its detrimental effects on health and quality of life. As the global population continues to age, understanding the trajectories of late-life depression becomes increasingly important. Cohort studies, a type of longitudinal study, offer a powerful approach to examine these trajectories by following groups of individuals over extended periods.
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## Understanding Cohort Studies
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We are working on an extension to the Harmony tool, called [Harmony Discovery](https://harmonydiscovery.fastdatascience.com/), which will allow researchers to discover depression cohort studies via an integration with different data providers.
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{{< card heading="Try Harmony Discovery" copy="Find depression cohort studies on Harmony Discovery Beta" url="https://harmonydiscovery.fastdatascience.com/" >}}
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{{< htmlcode >}}
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<iframe src="https://www.veed.io/embed/b8eb93ee-5cca-4b09-8b5d-34b614cb0f58" width="744" height="504" frameborder="0" title="Harmony Discovery Beta" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>
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{{</ htmlcode >}}
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*Preview of Harmony Discovery - you can search by study design and topic to find depression cohort studies*
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Cohort studies are instrumental in identifying and analyzing patterns, causes, and effects of health and disease conditions in specific populations. These studies recruit participants who share common characteristics, such as age or occupation, and collect data on various predictors, including specific exposures or treatments and other covariates. For instance, researchers might study dietary habits and their effects on the development of diseases like cardiovascular disease or depression, while also accounting for age, tobacco use, and other potential influencing factors.
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## Challenges in Depression Research
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Researching depression, especially in older adults, poses unique challenges. Depression in old age can manifest through various trajectories, such as episode emergence or recurrence, complicating efforts to derive clear causal relationships and effective interventions. Therefore, accessing comprehensive datasets and finding relevant cohort studies is crucial for researchers aiming to explore these complexities.
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## Data sources used by Harmony Discovery
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* [Catalogue of Mental Health Measures](https://www.cataloguementalhealth.ac.uk/)
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* [UKLLC](https://explore.ukllc.ac.uk)
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* [ADR UK](https://www.adruk.org/data-access/data-catalogue/)
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* [CLOSER](https://closer.ac.uk/)
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* [HDR UK](https://www.healthdatagateway.org/)
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{{< card heading="Try Harmony" copy="Compare instruments with Harmony" url="https://harmonydata.ac.uk/app" >}}
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{{< youtube cEZppTBj1NI >}}
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## Utilizing Harmony Discovery
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Here is where Harmony Discovery plays a pivotal role for researchers in social sciences. Harmony is an innovative tool that helps researchers discover studies by specific topics, including depression cohort studies, through advanced technology. By leveraging large language models, Harmony matches questionnaire items and variable names, making it easier to locate and access relevant data.
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### Data Sources Connected to Harmony
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- **UKLLC**: The UK Longitudinal Linkage Collaboration offers extensive data on health and social factors affecting the UK population.
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- **Closer**: This resource consolidates data from the UK's leading longitudinal population studies, enriching research possibilities.
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- **Catalogue of Mental Health Measures**: A comprehensive compilation of mental health measures used in various studies.
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- **HDR UK**: Health Data Research UK provides resources and data to improve the understanding of health and diseases.
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- **ADR UK**: The Administrative Data Research UK focuses on data to support better decision-making and public services.
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## Advancing Research with Harmony
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Using Harmony Discovery, researchers can efficiently find and use existing cohort data, enhancing their ability to conduct meaningful analyses on depression in various populations. By connecting with extensive and diverse data sources, Harmony facilitates more informed research, enabling scientists to draw insights that can inform interventions and improve health outcomes related to depression.
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In conclusion, as we continue to face the growing challenge of depression among aging populations, tools like Harmony Discovery are invaluable. They help unlock the potential of cohort studies, pushing the boundaries of what we know about depression and improving our ability to address it effectively.
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## See also
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* [Longitudinal Studies](/longitudinal-studies/)
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* [Longitudinal Studies on Depression](/longitudinal-studies/depression/)
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* [Cohort Studies](/cohort-studies/)
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* [Cohort Studies on Depression](/cohort-studies/depression/)
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* [Discover data on Harmony](/discover-data/)

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