Commit new tools

_data/tools.json

@@ -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": 384,
+      "views": 385,
       "category": "Package",
       "relations": [],
       "keywords": [
@@ -1411,7 +1411,7 @@
       "modified": "2023-04-25 15:37:04.113000",
       "description": "Community Edition alone is Free - LIMITED\n\nDQ Analyzer is a powerful and market-popular desktop application for advanced data profiling. It reveals the contents of your data in minutes and easily integrates with more advanced Ataccama ONE modules. While DQ Analyzer uncovers problems with your data, other Ataccama ONE modules will further help you transform, standardize, cleanse, validate, correct and enrich your data.\n\nData Profiling\nDiscover, analyze, and understand critical patterns in your data. Visualize the frequency, domain, and mask analysis of values, uncover complex dependencies between data attributes, and test relationships between entities. An accurate picture of your data is just one profile away.",
       "license": "",
-      "views": 117,
+      "views": 118,
       "category": "Desktop Application",
       "relations": [],
       "keywords": [
@@ -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": 355,
+      "views": 356,
       "category": "Data Visualisation",
       "relations": [],
       "keywords": [
@@ -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": 444,
+      "views": 445,
       "category": "Dataset discovery tool",
       "relations": [],
       "keywords": [
@@ -6450,7 +6450,7 @@
       "modified": "2023-07-03 07:20:07.254000",
       "description": "This repository provides code to consolidate wastewater catchment areas in Great Britain and evaluate their spatial overlap with statistical reporting units, such as Lower Layer Super Output Areas (LSOAs). Please see the accompanying publication for a detailed description of the analysis. If you have questions about the analysis, code, or accessing the data, please contact till dot hoffmann at oxon dot org.\n\n### Results & Insights\n\nhttps://www.essoar.org/doi/10.1002/essoar.10510612.2\n\nWastewater catchment area data are essential for wastewater treatment capacity planning and have recently become critical for operationalising wastewater-based epidemiology (WBE) for COVID-19. Owing to the privatised nature of the water industry in the United Kingdom, the required catchment area datasets are not readily available to researchers. Here, we present a consolidated dataset of 7,537 catchment areas from ten sewerage service providers in the Great Britain, covering more than 96% of the population of England and Wales. We develop a geospatial method for estimating the population resident within each catchment from small area population estimates generated by the Office for National Statistics. The method is more widely applicable to matching electronic health records to wastewater infrastructure. Population estimates are highly predictive of population equivalent treatment loads reported under the European Urban Wastewater Treatment Directive. We highlight challenges associated with using geospatial data for wastewater-based epidemiology.",
       "license": "",
-      "views": 15,
+      "views": 16,
       "category": "Code snippet",
       "relations": [],
       "keywords": [
@@ -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": 294,
+      "views": 295,
       "category": "Web application",
       "relations": [],
       "keywords": [],
@@ -7234,7 +7234,7 @@
       "modified": "2024-06-05 10:15:17.822000",
       "description": "A scalable documentation first ETL and data staging tool that understands a number of common healthcare reporting standards. (CDS, COSD, SACT, RTDS). Learn more at https://answerdigital.github.io/oxford-omop-data-mapper/",
       "license": "Apache 2",
-      "views": 75,
+      "views": 76,
       "category": "Data Integration and ETL Tool",
       "relations": [],
       "keywords": [],

_data/tools.yaml

@@ -281,7 +281,7 @@ tools:
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 - '@schema':
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   _id: 8950960289411696
@@ -1562,7 +1562,7 @@ tools:
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   uploader: 4442271343443529
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 - '@schema':
     type: tool
   _id: 8807816059640121
@@ -6704,7 +6704,7 @@ tools:
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   uploader: 9541533584051376
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 - '@schema':
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@@ -6938,7 +6938,7 @@ tools:
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   uploader: 6045838202930374
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 - '@schema':
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   _id: 6231490526322994
@@ -7013,7 +7013,7 @@ tools:
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 - '@schema':
     type: tool
   _id: 22557344081099216
@@ -7361,7 +7361,7 @@ tools:
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   uploader: 22850500618628944
-  views: 294
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 - '@schema':
     type: tool
   _id: 3766311756007228
@@ -7784,4 +7784,4 @@ tools:
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   uploader: 9182001013253078
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+  views: 76