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Susheel Varma committed Jul 8, 2024
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10 changes: 5 additions & 5 deletions _data/tools.json
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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": 356,
"views": 357,
"category": "Platform",
"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": 424,
"views": 425,
"category": "Dataset discovery tool",
"relations": [],
"keywords": [
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"modified": "2024-04-10 09:52:53.471000",
"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": 247,
"views": 248,
"category": "Web application",
"relations": [],
"keywords": [],
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"modified": "2023-07-03 07:18:33.408000",
"description": "Create and use de-identified databases for research.\n\n- Anonymises relational databases.\n\n- Extracts and de-identifies text from associated binary files.\n\n- Performs some specific preprocessing tasks; e.g.\n\n - preprocesses some specific databases (e.g. Servelec RiO EMR);\n - drafts a \"data dictionary\" for anonymisation, with special knowledge of\n some databases (e.g. TPP SystmOne);\n - fetches some word lists, e.g. forenames/surnames/eponyms.\n\n- Provides tools to link databases, including via Bayesian personal identity\n matching, in identifiable or de-identified fashion.\n\n- Provides a natural language processing (NLP) pipeline, including built-in\n NLP, support for external tools, and client/server support for the Natural\n Language Processing Request Protocol (NLPRP).\n\n- Web app for\n\n - querying the anonymised database;\n - providing a de-identification API;\n - managing a consent-to-contact process.\n\n### Results & Insights\n\nReference paper: Cardinal RN (2017), Clinical records anonymisation and text extraction (CRATE): an open-source software system. BMC Medical Informatics and Decision Making 17:50. https://pubmed.ncbi.nlm.nih.gov/28441940/; https://doi.org/10.1186/s12911-017-0437-1.\n\nSource code: https://github.com/ucam-department-of-psychiatry/crate",
"license": "GNU General Public License version 3.0 (GPLv3)",
"views": 153,
"views": 154,
"category": "Clinical Informatics Pipeline",
"relations": [],
"keywords": [
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"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": 45,
"views": 46,
"category": "Data Integration and ETL Tool",
"relations": [],
"keywords": [],
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10 changes: 5 additions & 5 deletions _data/tools.yaml
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relations: []
type: ''
uploader: 22850500618628944
views: 356
views: 357
- '@schema':
type: tool
_id: 37736016737401232
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relations: []
type: ''
uploader: 6045838202930374
views: 424
views: 425
- '@schema':
type: tool
_id: 6231490526322994
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relations: []
type: ''
uploader: 22850500618628944
views: 247
views: 248
- '@schema':
type: tool
_id: 3766311756007228
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relations: []
type: ''
uploader: 5648313829043343
views: 153
views: 154
- '@schema':
type: tool
_id: 503027167798622
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relations: []
type: ''
uploader: 9182001013253078
views: 45
views: 46

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