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Susheel Varma committed Aug 11, 2024
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14 changes: 7 additions & 7 deletions _data/tools.json
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"modified": "2023-01-03 01:20:40.401000",
"description": "LIMITED FREE VERSION\n\nTalend Open Studio for Enterprise Service Bus (ESB) is free-to-download software that easily service-enables and integrates applications and legacy systems. Talend ESB is a versatile and flexible ESB that allows organizations to address diverse integration challenges. It supports a broad set of standard transports and protocols, as well as enterprise integration patterns (EIPs), a common set of best practice descriptions developed to design effective messaging solutions. Available in several packages, Talend ESB is open and standards-based to allow wide interoperability with existing and legacy infrastructure components.\n\nLeveraging Apache CXF, Apache Camel and Apache ActiveMQ open source integration projects, Talend ESB makes enterprise-class integration accessible by delivering a cost-effective and easy-to-use way to integrate and expand systems and applications.",
"license": "Apache license",
"views": 35,
"views": 36,
"category": "Software",
"relations": [],
"keywords": [
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"modified": "2023-05-15 14:30:20.012000",
"description": "DataPreparator is a free software tool designed to assist with common tasks of data preparation (or data preprocessing) in data analysis and data mining. \n\nDataPreparator provides:\n\n-A variety of techniques for data cleaning, transformation, and exploration\n-Chaining of preprocessing operators into a flow graph (operator tree)\n-Handling of large volumes of data (since data sets are not stored in the computer memory)\n-Stand alone tool independent of any other tools\n-User friendly graphical user interface\n\nDataPreparator can assist you with exploring and preparing data in various ways prior to data analysis or data mining. It includes operators for cleaning, discretization, numeration, scaling, attribute selection, missing values, outliers, statistics, visualization, balancing, sampling, row selection, and several other tasks. See Features for details.",
"license": "https://www.datapreparator.com/software-license-agreement-2.html",
"views": 41,
"views": 42,
"category": "Software",
"relations": [],
"keywords": [
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"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": 115,
"views": 116,
"category": "Desktop Application",
"relations": [],
"keywords": [
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"modified": "2023-03-26 20:19:11.446000",
"description": "Application to identify instances of insomnia.\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": 22,
"views": 23,
"category": "NLP System",
"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": 442,
"views": 443,
"category": "Dataset discovery tool",
"relations": [],
"keywords": [
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"modified": "2024-02-03 16:06:46.160000",
"description": "Hutch is an open source tool that allows you to make your data discoverable without compromising its integrity or security.\n\nYou do not need to grant any external systems or people access to your data.\nYou do not need to share your data with any other parties.\nYou do not need to allow external services to make incoming requests to your network.",
"license": "",
"views": 197,
"views": 198,
"category": "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": 156,
"views": 157,
"category": "Clinical Informatics Pipeline",
"relations": [],
"keywords": [
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14 changes: 7 additions & 7 deletions _data/tools.yaml
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relations: []
type: ''
uploader: 4442271343443529
views: 35
views: 36
- '@schema':
type: tool
_id: 7065396784551248
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relations: []
type: ''
uploader: 4442271343443529
views: 41
views: 42
- '@schema':
type: tool
_id: 7234606581744716
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relations: []
type: ''
uploader: 4442271343443529
views: 115
views: 116
- '@schema':
type: tool
_id: 8807816059640121
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relations: []
type: ''
uploader: 6473490892875664
views: 22
views: 23
- '@schema':
type: tool
_id: 16373391376770918
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relations: []
type: ''
uploader: 6045838202930374
views: 442
views: 443
- '@schema':
type: tool
_id: 6231490526322994
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relations: []
type: ''
uploader: 22850500618628944
views: 197
views: 198
- '@schema':
type: tool
_id: 5247022928209417
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relations: []
type: ''
uploader: 5648313829043343
views: 156
views: 157
- '@schema':
type: tool
_id: 503027167798622
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