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Susheel Varma
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Jan 1, 2024
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| "modified": "2023-05-30 20:41:32.141000", | ||
| "description": "", | ||
| "license": "", | ||
| "views": 287, | ||
| "views": 288, | ||
| "category": "Data Modelling", | ||
| "relations": [], | ||
| "keywords": [ | ||
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@@ -48,7 +48,7 @@ | |
| "modified": "2023-05-14 20:23:06.333000", | ||
| "description": "This application runs in the background and identifies other people running the app within the local area by using low energy Bluetooth. While the app is running permanently in the background, it periodically broadcasts and listens for other Bluetooth-enabled devices (iOS and Android at this time) that also broadcast the same unique identifier.", | ||
| "license": "MIT", | ||
| "views": 245, | ||
| "views": 246, | ||
| "category": "Mobile Application", | ||
| "relations": [], | ||
| "keywords": [ | ||
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@@ -195,7 +195,7 @@ | |
| "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": 342, | ||
| "views": 343, | ||
| "category": "Mobile Application", | ||
| "relations": [], | ||
| "keywords": [ | ||
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@@ -310,7 +310,7 @@ | |
| "modified": "2023-05-30 08:41:52.053000", | ||
| "description": "This project comprises a set of R packages to assist in epidemiological studies using electronic health records databases.\n\nCALIBER (http://caliberresearch.org/) is led from the Farr Institute @ London. CALIBER investigators represent a collaboration between epidemiologists, clinicians, statisticians, health informaticians and computer scientists with initial funding from the Wellcome Trust and the National Institute for Health Research.\n\nThe goal of CALIBER is to provide evidence across different stages of translation, from discovery, through evaluation to implementation where electronic health records provide new scientific opportunities.\n", | ||
| "license": "GNU General Public License (GPL)", | ||
| "views": 341, | ||
| "views": 342, | ||
| "category": "Package", | ||
| "relations": [], | ||
| "keywords": [ | ||
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@@ -567,7 +567,7 @@ | |
| "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": 288, | ||
| "views": 290, | ||
| "category": "Platform", | ||
| "relations": [], | ||
| "keywords": [ | ||
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@@ -5026,7 +5026,7 @@ | |
| "modified": "2023-05-23 13:16:46.141000", | ||
| "description": "An opensource platform that provides researchers with easy access to deploy collaborative workspace environments in the AWS Cloud, through a simple to use web interface. Offers the ability to operate across teams, universities, and datasets while enabling Research IT stakeholders to manage, monitor, and control spending, apply security best practices and comply with corporate governance.\n\nService Workbench targets Research workloads with out of the box service support for:\n\n JupyterLabs via Amazon SageMaker with Python Kernels\n Jupyter Notebooks on Amazon EMR + Hail v0.2\n RStudio on EC2\n Windows VM on Amazon EC2\n Linux VM on EC2\n\nAdditional product configuration can easily be added to Service Workbench through Service Catalog and be linked to researcher, institutional, and includes support for [AWS Open Data](https://registry.opendata.aws) data sets configured by Research IT for their researchers use across the institution.\n\nPlatform provides one-click option to admins for easier creation (vending) of new AWS accounts specific to researchers' teams for easier governance.\n\nThe code in the GitHub repo is fully functional but is intended as a stand-a-lone evaluation deployment and some foundational AWS knowledge is assumed.\n\nPlease contact the health research team at AWS for further information and support: [[email protected]](mailto:[email protected]); [[email protected]](mailto:[email protected]); [[email protected]](mailto:[email protected])", | ||
| "license": "Apache License 2.0", | ||
| "views": 416, | ||
| "views": 417, | ||
| "category": "Data Science Platform", | ||
| "relations": [], | ||
| "keywords": [ | ||
|
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@@ -5231,7 +5231,7 @@ | |
| "modified": "2023-05-28 09:42:28.253000", | ||
| "description": "Bi\u014ckean\u00f3s is an open biomedical database catalogue and discovery tool aimed primarily at ML/AI community.\n\nIt concentrates on open datasets in natural and health sciences from multiple sources. From cell biology, chemistry, protein and molecule structure and classification through pathways, side and adverse effects, omics, to anonymised medical information and clinical standards. It merges the results with our private curated collection, reconciles the records, and augments them with information extracted from the scientific literature. \n\nIt navigates the researchers through the available datasets, helps them identify those important for their work, and facilitate their acquisition.\n\n### Results & Insights\n\n- Over 5000 sources\n- Refreshed weekly\n- Recommendations of similar datasources\n- Heuristic-based ranking to discover the most useful data in a given \n- Licensing information\n- References to other gateways records containing the data\n", | ||
| "license": "", | ||
| "views": 347, | ||
| "views": 348, | ||
| "category": "Dataset discovery tool", | ||
| "relations": [], | ||
| "keywords": [ | ||
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@@ -6193,7 +6193,7 @@ | |
| "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": 287, | ||
| "views": 288, | ||
| "category": "Data Visualisation", | ||
| "relations": [], | ||
| "keywords": [ | ||
|
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@@ -6391,7 +6391,7 @@ | |
| "modified": "2023-09-21 17:54:36.915000", | ||
| "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\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": 218, | ||
| "views": 219, | ||
| "category": "Dataset discovery tool", | ||
| "relations": [], | ||
| "keywords": [ | ||
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@@ -6838,7 +6838,7 @@ | |
| "modified": "2023-05-16 11:38:12.372000", | ||
| "description": "The primary purpose of the CaRROT-CDM package is to Extract input datasets and Transform them using mapping rules defined in a json file, outputting formatted datasets in tsv format that can be Loaded into a database or other destination (ETL).", | ||
| "license": "", | ||
| "views": 50, | ||
| "views": 51, | ||
| "category": "Data Integration and ETL Tool", | ||
| "relations": [], | ||
| "keywords": [], | ||
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