5 datasets found
  1. H

    BioVacSafe CRC305ABC clinical data

    • dataverse.harvard.edu
    Updated Jul 15, 2019
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    Surrey Clinical research Centre (2019). BioVacSafe CRC305ABC clinical data [Dataset]. http://doi.org/10.7910/DVN/QPHMKX
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 15, 2019
    Dataset provided by
    Harvard Dataverse
    Authors
    Surrey Clinical research Centre
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.1/customlicense?persistentId=doi:10.7910/DVN/QPHMKXhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.1/customlicense?persistentId=doi:10.7910/DVN/QPHMKX

    Description

    This dataset contains data files for clinical data in SDTM format for three studies conducted during the BioVacSafe project at the University of Surrey Clinical research centre. Data has been processed at the Data Science Institute for preparation to loading them into the demo instance of PlatformTM ( a data custodianship platform for translational research data) Users can use this dataset to load into local instances of PlatformTM for demo purposes.

  2. c

    SDTM datasets of clinical data and measurements for selected cancer...

    • dev.cancerimagingarchive.net
    csv, n/a, xpt
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    The Cancer Imaging Archive, SDTM datasets of clinical data and measurements for selected cancer collections to TCIA [Dataset]. http://doi.org/10.7937/TCIA.2019.zfv154m9
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    n/a, xpt, csvAvailable download formats
    Dataset authored and provided by
    The Cancer Imaging Archive
    License

    https://www.cancerimagingarchive.net/data-usage-policies-and-restrictions/https://www.cancerimagingarchive.net/data-usage-policies-and-restrictions/

    Time period covered
    Jun 21, 2019
    Dataset funded by
    National Cancer Institutehttp://www.cancer.gov/
    Description

    The Data Integration & Imaging Informatics (DI-Cubed) project explored the issue of lack of standardized data capture at the point of data creation, as reflected in the non-image data accompanying 4 TCIA breast cancer collections (Multi-center breast DCE-MRI data and segmentations from patients in the I-SPY 1/ACRIN 6657 trials (ISPY1), BREAST-DIAGNOSIS, Single site breast DCE-MRI data and segmentations from patients undergoing neoadjuvant chemotherapy (Breast-MRI-NACT-Pilot), The Cancer Genome Atlas Breast Invasive Carcinoma Collection (TCGA-BRCA)) and the Ivy Glioblastoma Atlas Project (IvyGAP) brain cancer collection. The work addressed the desire for semantic interoperability between various NCI initiatives by aligning on common clinical metadata elements and supporting use cases that connect clinical, imaging, and genomics data. Accordingly, clinical and measurement data imported into I2B2 were cross-mapped to industry standard concepts for names and values including those derived from BRIDG, CDISC SDTM, DICOM Structured Reporting models and using NCI Thesaurus, SNOMED CT and LOINC controlled terminology. A subset of the standardized data was then exported from I2B2 in SDTM compliant SAS transport files. The SDTM data was derived from data taken from both the curated TCIA spreadsheets as well as tumor measurements and dates from the TCIA Restful API. Due to the nature of the available data not all SDTM conformance rules were applicable or adhered to. These Study Data Tabulation Model format (SDTM) datasets were validated using Pinnacle 21 CDISC validation software. The validation software reviews datasets according to their degree of conformance to rules developed for the purposes of FDA submissions of electronic data. Iterative refinements were made to the datasets based upon group discussions and feedback from the validation tool. Export datasets for the following SDTM domains were generated:

    • DM (Demographics)
    • DS (Disposition)
    • MI (Microscopic Findings)
    • PR (Procedures)
    • SS (Subject Status)
    • TU (Tumor/Lesion Identification)
    • TR (Tumor/Lesion Results)

  3. Critical Path for Alzheimer's Disease

    • gaaindata.org
    Updated Sep 20, 2018
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    Sudhir Sivakumaran, PhD, Vice President, Neuroscience Program; Executive Director, CPAD (2018). Critical Path for Alzheimer's Disease [Dataset]. https://www.gaaindata.org/partner/CPAD
    Explore at:
    Dataset updated
    Sep 20, 2018
    Dataset provided by
    Alzheimer's Associationhttps://www.alz.org/
    Authors
    Sudhir Sivakumaran, PhD, Vice President, Neuroscience Program; Executive Director, CPAD
    Area covered
    Description

    The Critical Path for Alzheimer's Disease (CPAD: http://c-path.org/programs/cpad/) CODR data base contains patient-level control arm data (6,500 patients; 24 clinical trials; MCI and AD), fully anonymized and remapped using CDISC SDTM v3.1.2 Standard. The database includes, but is not limited to, demographic information, APOE4 genotype, concomitant medications and cognitive scales (MMSE, ADAS-Cog, CDR-SB). Currently no AD fluid biomarker or imaging data are included.

  4. d

    Data from: Safety and efficacy of BCG re-vaccination in relation to COVID-19...

    • search.dataone.org
    • data.niaid.nih.gov
    • +1more
    Updated Jul 14, 2024
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    Thabo Mabuka (2024). Safety and efficacy of BCG re-vaccination in relation to COVID-19 morbidity in healthcare workers: A double-blind, randomised, controlled, phase 3 trial [Dataset]. http://doi.org/10.5061/dryad.7m0cfxq2r
    Explore at:
    Dataset updated
    Jul 14, 2024
    Dataset provided by
    Dryad Digital Repository
    Authors
    Thabo Mabuka
    Time period covered
    Jan 1, 2024
    Description

    Morbidity and mortality attributable to COVID-19 is devastating global health systems and economies. Bacillus Calmette Guérin (BCG) vaccination has been in use for many decades to prevent severe forms of tuberculosis in children. Studies have also shown a combination of improved long-term innate or trained immunity (through epigenetic reprogramming of myeloid cells) and adaptive responses after BCG vaccination, which leads to non-specific protective effects in adults. Observational studies have shown that countries with routine BCG vaccination programs have significantly less reported cases and deaths of COVID-19, but such studies are prone to significant bias and need confirmation. To date, in the absence of direct evidence, WHO does not recommend BCG for the prevention of COVID-19. This project aims to investigate in a timely manner whether and why BCG-revaccination can reduce infection rate and/or disease severity in health care workers during the SARS-CoV-2 outbreak in South Africa...., This dataset was collected in a clinical randomised control trial under the TASK008-BCG CORONA protocol. The trial was conducted in South Africa. This trial was registered with ClinicalTrials.gov, NCT04379336., , # Data from: Safety and efficacy of BCG re-vaccination in relation to COVID-19 morbidity in healthcare workers: A double-blind, randomised, controlled, phase 3 trial

    The TASK008-BCG CORONA SDTM datasets contains all the study data collected under the TASK008-BCG CORONA protocol. The data is in the raw format of information captured onto the electronic Case Report Forms from the source documentation.

    Description of the data and file structure

    The TASK008-BCG CORONA SDTM datasets contain the study data in the CDISC SDTM format. The following CDISC SDTM domains were reported in the datasets:

    AE - Adverse Events

    CM - Concomitant Medication

    DM - Demographics

    DS - Disposition

    EX - Exposure

    IE - Inclusion and Exclusion Criteria

    LB - Laboratory Findings

    MH - Medical History

    SV - Subject Visits

    VS - Vital Signs

    File Formats: The datasets are in both .CSV and .sas7bdat (include 1 SAS formats. catalogue) Below is the structure of each domain

    | AE (Adverse Events) Domain ...

  5. Molnupiravir versus favipiravir in at-risk outpatients with COVID-19: a...

    • zenodo.org
    Updated Sep 12, 2024
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    Nicolas Salvadori; Nicolas Salvadori (2024). Molnupiravir versus favipiravir in at-risk outpatients with COVID-19: a randomized controlled trial in Thailand [Dataset]. http://doi.org/10.1016/j.ijid.2024.107021
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    Dataset updated
    Sep 12, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Nicolas Salvadori; Nicolas Salvadori
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The zipped file contains datasets from the FAMOVID clinical trial (Thai Clinical Trials Registry ID: TCTR20230111009; published paper: 10.1016/j.ijid.2024.107021) in CDISC SDTM format.
    Data de-identification was performed in compliance with the Health Insurance Portability and Accountability Act (HIPAA) Privacy Rule. In particular, participant and site identifiers were recoded as new, randomly-generated unique identifiers, and all dates were redacted.

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Surrey Clinical research Centre (2019). BioVacSafe CRC305ABC clinical data [Dataset]. http://doi.org/10.7910/DVN/QPHMKX

BioVacSafe CRC305ABC clinical data

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Jul 15, 2019
Dataset provided by
Harvard Dataverse
Authors
Surrey Clinical research Centre
License

https://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.1/customlicense?persistentId=doi:10.7910/DVN/QPHMKXhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.1/customlicense?persistentId=doi:10.7910/DVN/QPHMKX

Description

This dataset contains data files for clinical data in SDTM format for three studies conducted during the BioVacSafe project at the University of Surrey Clinical research centre. Data has been processed at the Data Science Institute for preparation to loading them into the demo instance of PlatformTM ( a data custodianship platform for translational research data) Users can use this dataset to load into local instances of PlatformTM for demo purposes.

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