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Susheel Varma committed Jul 17, 2024
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200 changes: 100 additions & 100 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": 319,
"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": 287,
"views": 288,
"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": 67,
"category": "Mobile Application",
"modified": "2023-05-17 16:08:38.817000",
"description": "",
"license": "",
"views": 143,
"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": 377,
"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": 67,
"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": 143,
"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": 377,
"category": "Mobile Application",
"views": 320,
"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 @@ -887,7 +887,7 @@
"modified": "2023-05-30 15:14:05.854000",
"description": "Scalable Data Anonymization Tool - supports multiple privacy models.\n\nARX is a comprehensive open source software for anonymizing sensitive personal data. It supports a wide variety of (1) privacy and risk models, (2) methods for transforming data and (3) methods for analyzing the usefulness of output data. It supports various anonymization techniques, methods for analyzing data quality and re-identification risks and it supports well-known privacy models, such as k-anonymity, l-diversity, t-closeness and differential privacy.\nARX is an open source tool for transforming structured (i.e. tabular) personal data using selected methods from the broad areas of data anonymization and statistical disclosure control. It supports transforming datasets in ways that make sure that they adhere to user-specified privacy models and risk thresholds that mitigate attacks that may lead to privacy breaches. ARX can be used to remove direct identifiers (e.g. names) from datasets and to enforce further constraints on indirect identifiers. Indirect identifiers (or quasi-identifiers, or keys) are attributes that do not directly identify an individual but may together with other indirect identifiers form an identifier that can be used for linkage attacks. It is typically assumed that information about indirect identifiers is available to the attacker (in some form of background knowledge) and that they cannot simply be removed from the dataset (e.g. because they are required later for analyses).",
"license": "Apache License 2.0",
"views": 536,
"views": 537,
"category": "Data Anonymization Tool",
"relations": [],
"keywords": [
Expand Down Expand Up @@ -1349,7 +1349,7 @@
"modified": "2023-04-22 16:43:52.356000",
"description": "Community (Free Use - LIMITED), Pro and Enterprise (Paid Version)\n\nSQL Power Architect data modeling tool has many unique features geared specifically for the data warehouse architect. It is a powerful database utility that not only builds diagrams of databases, but also provides data dictionary language output, which can be used to build database solutions.\n\nConnects to multiple source databases concurrently, Compares data models & database structures and identifies discrepancies, Generates source-to-target visual Mapping Reports, Forward/reverse engineers PostgreSQL, Oracle, MS SQL Server & more.\n",
"license": "Proprietary",
"views": 42,
"views": 43,
"category": "Data Modelling Tool",
"relations": [],
"keywords": [
Expand Down Expand Up @@ -1552,7 +1552,7 @@
"modified": "2023-05-29 15:46:02.782000",
"description": "The goal of pyxplorer is to provide a simple tool that allows interactive profiling of datasets that are accessible via a SQL like interface. The only requirement to run data profiling is that you are able to provide a Python DBAPI like interface to your data source and the data source is able to understand simplistic SQL queries.\n\nSupported Features:\n-Column Count (Database / Table)\n-Table Count\n-Tuple Count (Database / Table)\n-Min / Max\n-Most Frequent / Least Frequent\n-Top-K Most Frequent / Top-K Least Frequent\n-Top-K Value Distribution (Database / Table )\n-Uniqueness\n-Constancy\n-Distinct Value Count",
"license": "BSD 2-Clause \"Simplified\" License",
"views": 61,
"views": 62,
"category": "Data Profiling Tool",
"relations": [],
"keywords": [
Expand Down Expand Up @@ -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": 459,
"views": 460,
"category": "Data Science Platform",
"relations": [],
"keywords": [
Expand Down Expand Up @@ -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": 430,
"views": 431,
"category": "Dataset discovery tool",
"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": 346,
"views": 347,
"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": 428,
"views": 430,
"category": "Dataset discovery tool",
"relations": [],
"keywords": [
Expand Down Expand Up @@ -6815,7 +6815,7 @@
"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": 261,
"views": 262,
"category": "Web application",
"relations": [],
"keywords": [],
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"modified": "2023-07-03 07:18:01.555000",
"description": "With the detailed presentation of data from the IDS-COVID-19 Dashboard, public policy makers of health will have a more comprehensive view of where are the areas of greatest inequality in relation to Covid-19. ",
"license": "",
"views": 85,
"views": 86,
"category": "Dashboard",
"relations": [],
"keywords": [
Expand Down Expand Up @@ -7195,7 +7195,7 @@
"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": 122,
"views": 123,
"category": "Platform",
"relations": [],
"keywords": [
Expand Down
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