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Susheel Varma committed Sep 22, 2024
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22 changes: 11 additions & 11 deletions _data/tools.json
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"modified": "2023-05-28 22:40:37.701000",
"description": "The COVID Symptom Study app has been developed by King\u2019s College London and health science company ZOE, and it is endorsed by the Welsh Government, NHS Wales, the Scottish Government and NHS Scotland.\n\nMore than 2.5 million participants have downloaded the app and are using it to regularly report on their health in order to help stop COVID.",
"license": "",
"views": 389,
"views": 390,
"category": "Mobile Application",
"relations": [],
"keywords": [
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"modified": "2023-05-30 15:25:06.543000",
"description": "SAIL stands for Secure Anonymised Information Linkage. The SAIL Databank is a world-class flagship for the robust secure storage and use of anonymised person-based data for research to improve health, well-being and services. Its databank of anonymised data about the population of Wales is internationally recognised.\u00a0SAIL also provides trusted research environment (TRE) services to national programmes and hubs, such as BREATHE, the Health Data Research Hub for Respiratory Health.",
"license": "",
"views": 374,
"views": 375,
"category": "Platform",
"relations": [],
"keywords": [
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"modified": "2023-05-10 16:41:33.580000",
"description": "Talend Open Studio for MDM provides the key capabilities for data governance, which enable users to build data models employing the necessary business and data rules to create one single copy of the master data to be propagated back to the source and target systems.\nBuild a strong foundation for your MDM project with free open source master data management software.\nProfile data from customers, suppliers, assets, employers and beyond. Create models to search and browse profiled data, so everyone can create and update master data through a web-based application. Generate a single \u201cversion of the truth\u201d for data across your organization.\nExpand your open source stack with Open Studio for ESB and pass updates to MDM to be disseminated out to connected systems.\nAs an active contributor to Apache projects with millions of downloads and a full range of robust, open source integration software tools, Talend is an open source leader in cloud and big data integration.",
"license": "Apache License 2.0",
"views": 39,
"views": 40,
"category": "Master Data Management Software",
"relations": [],
"keywords": [
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"modified": "2023-01-30 10:56:07.665000",
"description": "Application to extract a when a Diagnosis of Epilepsy was made. Output Values: CUI (of Epileptic Syndrome) and Date (Day, Month, Year). \n\n### Results & Insights\n\nResults of version 1 are available here - https://bmjopen.bmj.com/content/9/4/e023232",
"license": "",
"views": 61,
"views": 62,
"category": "NLP System",
"relations": [],
"keywords": [
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"modified": "2023-05-31 08:05:54.372000",
"description": "A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.",
"license": "GPLv3",
"views": 130,
"views": 131,
"category": "Software",
"relations": [],
"keywords": [
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"modified": "2023-05-31 11:33:14.542000",
"description": "This interactive visualizations report focus on exploring unemployment and job loss in the COVID-19 UK from a gender, ethnicity, and class perpective.\n\nThe code of this dashboard is available here: https://github.com/luistorresr/gender_covid_uk/tree/main/Outputs/Report_1_unemployment\n\nThis tool is part of the research project \"How is COVID-19 impacting women and men's working lives in the UK?\" which is part of the Data and Connectivity National Core Study, led by Health Data Research UK in partnership with the Office for National Statistics and funded by UK Research and Innovation (grant ref MC_PC_20029).\n\n### Results & Insights\n\nThis is a report written in R Markdown for interactive data visualizations. Reports are produced as a word document and as an html file that can be uploded to a web hosting. \n\nVisualization can be adapted to create dashboards and monitor seudo-longitudinal trends.",
"license": "MIT license",
"views": 361,
"views": 363,
"category": "Data Visualisation",
"relations": [],
"keywords": [
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"modified": "2023-03-17 04:21:51.240000",
"description": "This interactive visualizations report focus on exploring how the risk of precarious work has evolved in the COVID-19 UK from a gender, ethnicity, and class perpective.\n\nThe code of this dashboard is available here: https://github.com/luistorresr/gender_covid_uk/tree/main/Outputs/Report_2_precariousness\n\nThis tool is part of the research project \"How is COVID-19 impacting women and men's working lives in the UK?\" which is part of the Data and Connectivity National Core Study, led by Health Data Research UK in partnership with the Office for National Statistics and funded by UK Research and Innovation (grant ref MC_PC_20029).\n\n### Results & Insights\n\nThis is a report written in R Markdown for interactive data visualizations. Reports are produced as a word document and as an html file that can be uploded to a web hosting.\n\nVisualization can be adapted to create dashboards and monitor seudo-longitudinal trends.",
"license": "MIT license",
"views": 72,
"views": 73,
"category": "Data Visualisation",
"relations": [],
"keywords": [
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"modified": "2023-05-19 10:47:41.492000",
"description": "This interactive visualizations report focus on exploring how self-employment has changed since the COVID-19 pandemic in the UK\n\nThe code of this dashboard is available here: https://github.com/luistorresr/gender_covid_uk/tree/main/Outputs/Report_3_selfemployment\n\nThis tool is part of the research project \"How is COVID-19 impacting women and men's working lives in the UK?\" which is part of the Data and Connectivity National Core Study, led by Health Data Research UK in partnership with the Office for National Statistics and funded by UK Research and Innovation (grant ref MC_PC_20029).\n\n### Results & Insights\n\nThis is a report written in R Markdown for interactive data visualizations. Reports are produced as a word document and as an html file that can be uploded to a web hosting.\n\nVisualization can be adapted to create dashboards and monitor seudo-longitudinal trends.",
"license": "MIT license",
"views": 124,
"views": 125,
"category": "Data Visualisation",
"relations": [],
"keywords": [
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"modified": "2023-05-24 12:59:59.863000",
"description": "Infographic summarising results of research study\n\n### Results & Insights\n\n RESULTS: The study found increased risk of thrombocytopenia after ChAdOx1 nCoV-19 vaccination (incidence rate ratio 1.33, 95% confidence interval 1.19 to 1.47 at 8-14 days) and after a positive SARS-CoV-2 test (5.27, 4.34 to 6.40 at 8-14 days); increased risk of venous thromboembolism after ChAdOx1 nCoV-19 vaccination (1.10, 1.02 to 1.18 at 8-14 days) and after SARS-CoV-2 infection (13.86, 12.76 to 15.05 at 8-14 days); and increased risk of arterial thromboembolism after BNT162b2 mRNA vaccination (1.06, 1.01 to 1.10 at 15-21 days) and after SARS-CoV-2 infection (2.02, 1.82 to 2.24 at 15-21 days). Secondary analyses found increased risk of CVST after ChAdOx1 nCoV-19 vaccination (4.01, 2.08 to 7.71 at 8-14 days), after BNT162b2 mRNA vaccination (3.58, 1.39 to 9.27 at 15-21 days), and after a positive SARS-CoV-2 test; increased risk of ischaemic stroke after BNT162b2 mRNA vaccination (1.12, 1.04 to 1.20 at 15-21 days) and after a positive SARS-CoV-2 test; and increased risk of other rare arterial thrombotic events after ChAdOx1 nCoV-19 vaccination (1.21, 1.02 to 1.43 at 8-14 days) and after a positive SARS-CoV-2 test. CONCLUSION: Increased risks of haematological and vascular events that led to hospital admission or death were observed for short time intervals after first doses of the ChAdOx1 nCoV-19 and BNT162b2 mRNA vaccines. The risks of most of these events were substantially higher and more prolonged after SARS-CoV-2 infection than after vaccination in the same population.",
"license": "CC BY NC 3.0",
"views": 143,
"views": 144,
"category": "infographic",
"relations": [],
"keywords": [],
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"modified": "2024-02-06 11:17:54.906000",
"description": "The Catalogue of Mental Health Measures is designed to provide easy access to information about the mental health measures included in UK cohort and longitudinal studies to maximise the uptake of existing data and facilitate mental health research.\n\nThe Catalogue provides descriptions of the studies as well as the instruments used to assess mental health and wellbeing. It also includes details on each measure such as the items, informants, response scale and reporting period. Users can explore existing data by searching for a specific study, a mental health topic, or an instrument. \n\nBy providing details of the measures and studies, the Catalogue serves as a resource for researchers to identify datasets that include mental health and wellbeing measures, plan harmonisation studies, and plan further data collection.\n\nThe Catalogue collaborates with [DATAMIND](https://web.www.healthdatagateway.org/collection/538080398356078) and the DATAMIND Super Research Advisory group (SRAG). DATAMIND continuously organises UK data, focusing on mental health information, including gene studies, routine care, volunteer cohorts, and trials (often through the Catalogue of Mental Health Measures), as well as novel data from schools and charities. The overall aim is to transform how mental health data in the UK is accessed and found and used.\n\n### Results & Insights\n\nThe Catalogue of Mental Health Measures features over 55 cohort studies, more than 4,000 measures of mental health and wellbeing, and covers 30+ mental health topics. \n\nThe Catalogue includes a range of study types, including birth cohorts, twin studies, repeated cross-sectional studies, accelerated longitudinal and household panel designs. Some were specifically designed to focus on mental health, while others have included mental health measures within a more multi-purpose context.\n",
"license": "",
"views": 457,
"views": 458,
"category": "Dataset discovery tool",
"relations": [],
"keywords": [
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"modified": "2024-08-22 14:46:09.422000",
"description": "CamCOPS is an open-source application for capturing information relevant for cognitive and psychiatric assessment, on tablets, laptops, and desktops. It offers simple questionnaires and more complex tasks, and sends its data securely to your server.\n\n### Results & Insights\n\nReference paper: Cardinal RN, Burchell M (2021). The Cambridge Cognitive and Psychiatric Assessment Kit (CamCOPS): a secure open-source client-server system for mobile research and clinical data capture. Frontiers in Psychiatry 12: 578298. https://pubmed.ncbi.nlm.nih.gov/34867492/; https://doi.org/10.3389/fpsyt.2021.578298.\n\nSource code is at https://github.com/ucam-department-of-psychiatry/crate",
"license": "GNU General Public License version 3.0 (GPLv3)",
"views": 117,
"views": 118,
"category": "Mobile Application",
"relations": [],
"keywords": [
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22 changes: 11 additions & 11 deletions _data/tools.yaml
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type: ''
uploader: ''
views: 389
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- '@schema':
type: tool
_id: 19005
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type: ''
uploader: 22850500618628944
views: 374
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- '@schema':
type: tool
_id: 37736016737401232
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uploader: 4442271343443529
views: 39
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- '@schema':
type: tool
_id: 37513701712100248
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- '@schema':
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_id: 6606728270873592
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uploader: 5703995672678985
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- '@schema':
type: tool
_id: 8537436822958817
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uploader: 9541533584051376
views: 361
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- '@schema':
type: tool
_id: 5859299510804015
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- '@schema':
type: tool
_id: 1549626218439133
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type: ''
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- '@schema':
type: tool
_id: 4818714000171864
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uploader: 9952605032979578
views: 143
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- '@schema':
type: tool
_id: 22703411038557176
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relations: []
type: ''
uploader: 6045838202930374
views: 457
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- '@schema':
type: tool
_id: 6231490526322994
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type: ''
uploader: 5648313829043343
views: 117
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- '@schema':
type: tool
_id: 5372816439598571
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