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Susheel Varma committed Aug 10, 2024
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202 changes: 101 additions & 101 deletions _data/tools.json
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{
"count": 209,
"tools": [
{
"@schema": {
"type": "tool"
},
"_id": 19001,
"type": "",
"name": "CMMID Interactive Applications",
"link": "https://cmmid.github.io/visualisations",
"authors": [
190000
],
"uploader": "",
"issued": "2020-05-27 00:00:00",
"modified": "2023-05-30 20:41:32.141000",
"description": "",
"license": "",
"views": 324,
"category": "Data Modelling",
"relations": [],
"keywords": [
"COVID-19",
"Modelling",
"Visualisation"
],
"programming_languages": [
{
"name": "R",
"version": ""
}
]
},
{
"@schema": {
"type": "tool"
Expand All @@ -48,7 +17,7 @@
"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": 293,
"views": 294,
"category": "Mobile Application",
"relations": [],
"keywords": [
Expand All @@ -67,32 +36,26 @@
"@schema": {
"type": "tool"
},
"_id": 19003,
"_id": 19006,
"type": "",
"name": "COVID-19 Contact Tracing App - iOS",
"link": "https://github.com/nhsx/COVID-19-app-iOS-BETA",
"name": "COVID-19 Phenomics",
"link": "http://covid19-phenomics.org/",
"authors": [
190000
],
"uploader": "",
"issued": "2020-05-27 00:00:00",
"modified": "2022-11-30 02:46:05.469000",
"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": 68,
"category": "Mobile Application",
"modified": "2023-05-17 16:08:38.817000",
"description": "",
"license": "",
"views": 145,
"category": "Phenomics",
"relations": [],
"keywords": [
"COVID-19",
"Contact Tracing",
"iOS"
"Phenomics"
],
"programming_languages": [
{
"name": "Objective-C",
"version": ""
}
]
"programming_languages": []
},
{
"@schema": {
Expand Down Expand Up @@ -124,6 +87,37 @@
}
]
},
{
"@schema": {
"type": "tool"
},
"_id": 19007,
"type": "",
"name": "COVID-19 Symptom Tracker App",
"link": "https://covid.joinzoe.com/",
"authors": [
190000
],
"uploader": "",
"issued": "2020-05-27 00:00:00",
"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": 382,
"category": "Mobile Application",
"relations": [],
"keywords": [
"COVID-19",
"Symptom Tracker",
" NCS"
],
"programming_languages": [
{
"name": "Other",
"version": ""
}
]
},
{
"@schema": {
"type": "tool"
Expand Down Expand Up @@ -158,54 +152,84 @@
"@schema": {
"type": "tool"
},
"_id": 19006,
"_id": 19003,
"type": "",
"name": "COVID-19 Phenomics",
"link": "http://covid19-phenomics.org/",
"name": "COVID-19 Contact Tracing App - iOS",
"link": "https://github.com/nhsx/COVID-19-app-iOS-BETA",
"authors": [
190000
],
"uploader": "",
"issued": "2020-05-27 00:00:00",
"modified": "2023-05-17 16:08:38.817000",
"modified": "2022-11-30 02:46:05.469000",
"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": 68,
"category": "Mobile Application",
"relations": [],
"keywords": [
"COVID-19",
"Contact Tracing",
"iOS"
],
"programming_languages": [
{
"name": "Objective-C",
"version": ""
}
]
},
{
"@schema": {
"type": "tool"
},
"_id": 19009,
"type": "",
"name": "BSTI COVID-19 Imaging Database",
"link": "https://www.bsti.org.uk/training-and-education/covid-19-bsti-imaging-database/",
"authors": [
190000
],
"uploader": "",
"issued": "2020-05-27 00:00:00",
"modified": "2023-05-11 09:21:27.231000",
"description": "",
"license": "",
"views": 144,
"category": "Phenomics",
"views": 195,
"category": "",
"relations": [],
"keywords": [
"COVID-19",
"Phenomics"
"COVID-19"
],
"programming_languages": []
},
{
"@schema": {
"type": "tool"
},
"_id": 19007,
"_id": 19001,
"type": "",
"name": "COVID-19 Symptom Tracker App",
"link": "https://covid.joinzoe.com/",
"name": "CMMID Interactive Applications",
"link": "https://cmmid.github.io/visualisations",
"authors": [
190000
],
"uploader": "",
"issued": "2020-05-27 00:00:00",
"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.",
"modified": "2023-05-30 20:41:32.141000",
"description": "",
"license": "",
"views": 382,
"category": "Mobile Application",
"views": 324,
"category": "Data Modelling",
"relations": [],
"keywords": [
"COVID-19",
"Symptom Tracker",
" NCS"
"Modelling",
"Visualisation"
],
"programming_languages": [
{
"name": "Other",
"name": "R",
"version": ""
}
]
Expand Down Expand Up @@ -235,30 +259,6 @@
],
"programming_languages": []
},
{
"@schema": {
"type": "tool"
},
"_id": 19009,
"type": "",
"name": "BSTI COVID-19 Imaging Database",
"link": "https://www.bsti.org.uk/training-and-education/covid-19-bsti-imaging-database/",
"authors": [
190000
],
"uploader": "",
"issued": "2020-05-27 00:00:00",
"modified": "2023-05-11 09:21:27.231000",
"description": "",
"license": "",
"views": 195,
"category": "",
"relations": [],
"keywords": [
"COVID-19"
],
"programming_languages": []
},
{
"@schema": {
"type": "tool"
Expand Down Expand Up @@ -916,7 +916,7 @@
"modified": "2023-05-09 15:58:17.651000",
"description": "Tool to help prepare for ETLs of healthcare datasets.\n\nWhiteRabbit is a small application that can be used to analyze the structure and contents of a database as preparation for designing an ETL. It comes with RabbitInAHat, an application for interactive design of an ETL to the OMOP Common Data Model with the help of the scan report generated by White Rabbit. WhiteRabbit\u2019s main function is to perform a scan of the source data, providing detailed information on the tables, fields, and values that appear in a field. This scan will generate a report that can be used as a reference when designing the ETL, for instance by using the Rabbit-In-a-Hat tool. White Rabbit differs from standard data profiling tools in that it attempts to prevent the display of personally identifiable information (PII) data values in the generated output data file.",
"license": "Apache License 2.0",
"views": 53,
"views": 54,
"category": "Application",
"relations": [],
"keywords": [
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"modified": "2023-05-19 23:38:25.881000",
"description": "(Part of Data Ladder)\nDataMatch Enterprise\u2122 solution is a highly visual data cleansing application specifically designed to resolve customer and contact data quality issues. The platform leverages multiple proprietary and standard algorithms to identify phonetic, fuzzy, miskeyed, abbreviated, and domain-specific variations. Build scalable configurations for deduplication & record linkage, suppression, enhancement, extraction, and standardization of business and customer data and create a Single Source of Truth to maximize the impact of your data across the enterprise.",
"license": "Proprietary",
"views": 42,
"views": 43,
"category": "Application",
"relations": [],
"keywords": [
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"modified": "2023-03-29 05:43:11.603000",
"description": "Application to identify instances of delusions.\n\nBoth past and present symptom.\n\nOutput values: Positive, Negative and Unknown.\n\n### Results & Insights\n\nFor further details please visit the CRIS link provided",
"license": "Available upon request",
"views": 15,
"views": 16,
"category": "NLP System",
"relations": [],
"keywords": [
Expand Down Expand Up @@ -3262,7 +3262,7 @@
"modified": "2023-05-05 15:21:34.608000",
"description": "Application to identify instances of mutism.\n\nBoth past and present symptom.\n\nOutput values: Positive, Negative and Unknown.\n\n### Results & Insights\n\nFor further details please visit the CRIS link provided",
"license": "Available upon request",
"views": 20,
"views": 21,
"category": "NLP System",
"relations": [],
"keywords": [
Expand Down Expand Up @@ -6065,7 +6065,7 @@
"modified": "2023-05-07 21:23:07.261000",
"description": "Application to extract a when a Diagnosis of Epilepsy was made. Output Values: CUI (of Epileptic Syndrome) and Age (Units, Upper and Lower Limit).\n\n### Results & Insights\n\nResults of version 1 are available here - https://bmjopen.bmj.com/content/9/4/e023232",
"license": "",
"views": 51,
"views": 52,
"category": "NLP System",
"relations": [],
"keywords": [
Expand Down Expand Up @@ -6100,7 +6100,7 @@
"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": 56,
"views": 57,
"category": "NLP System",
"relations": [],
"keywords": [
Expand Down Expand Up @@ -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": 351,
"views": 352,
"category": "Data Visualisation",
"relations": [],
"keywords": [
Expand Down Expand Up @@ -6274,7 +6274,7 @@
"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": 68,
"views": 69,
"category": "Data Visualisation",
"relations": [],
"keywords": [
Expand Down Expand Up @@ -6391,7 +6391,7 @@
"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": 441,
"views": 442,
"category": "Dataset discovery tool",
"relations": [],
"keywords": [
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"modified": "2024-07-15 15:00:28.066000",
"description": "Carrot-Mapper enables conversion of data to the OMOP Common Data Model, without data being egressed from its secure location, nor requiring access to the secure location. Carrot-Mapper automates as much of the process as possible, and also enables users to reuse each others' mappings. Carrot-Mapper pairs with Carrot-CDM to complete the OMOP conversion process.",
"license": "MIT",
"views": 280,
"views": 281,
"category": "Web application",
"relations": [],
"keywords": [],
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"modified": "2023-09-05 08:14:26.316000",
"description": "The Data Safe Haven is an open-source infrastructure-as-code Trusted Research Environment (TRE) that is freely available for use, adaptation and extension by anyone. It has been used since autumn 2018 for all projects at the Alan Turing Institute that handle sensitive data. It is built on the Microsoft Azure cloud which makes it easy to deploy and to scale according to your needs.\n\nTo find out more, look at the following resources:\n\n- Our GitHub repository: https://github.com/alan-turing-institute/data-safe-haven/\n- Our documentation: https://data-safe-haven.readthedocs.io/en/latest/\n- Our Slack workspace: https://turingdatasafehaven.slack.com/\n- Contact email: [email protected]",
"license": "BSD 3-Clause \"New\" or \"Revised\" license",
"views": 135,
"views": 136,
"category": "Platform",
"relations": [],
"keywords": [
Expand Down
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