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ICODA Safety and Efficacy of clinical trials driver project data - Versions 1-3

Population Size

Not reported
Population Size statistic card

Years

2023 - 2020

Years statistic card

Associated BioSamples

None/not available

Associated BioSamples statistic card

Geographic coverage

Not reported
Geographic coverage statistic card

Lead time

Not applicable

Lead time statistic card

Summary

This metadata describes the data format for data contributions to the International COVID-19 Data Alliance (ICODA) driver project investigating the safety and efficacy of clinical trials. Contains versions 1-3.

Documentation

This metadata describes the data format for data contributions to the International COVID-19 Data Alliance (ICODA) driver project investigating the safety and efficacy of clinical trials. The first data dictionary was published in December 2020, newer versions are available.

Several thousand clinical COVID-19 trials were in progress globally. As these trials were all evaluating the benefit/risk of potential COVID-19 treatment options, it was vital that the scientific community could interrogate this data as it emerged.

The summary level data from some of these trials across industry, academia and government was included in the ICODA Workbench. In order to provide near-immediate access to results and data from the trials, ICODA has partnered with Certara to provide curated and digitised summary level data from key trials as they were reported in the public domain. In addition, several data contributing organisations provided enriched summary-level data within 5-30 days post top-line reporting of the trial results which allowed a more in depth evaluation of the results.

This Driver project used a Data Dictionary to harmonise variable definitions and subgroup classifications from all trials. This allowed side by side interrogation of the data from these trials making the data readily useable to interpret findings. Researchers could also view data from individual trials in the context of other available trials thus expanding their insights. Our visual analytics and meta-analyses tools further enhanced the researchers’ ability to work quickly.

Dataset type

Health and disease

Dataset sub-type

Not applicable

Keywords

Observations

Observed Node

Disambiguating Description

Measured Value

Measured Property

Observation Date

Events

1

Count

01 Jan 2023

Provenance

Source of data extraction

Other

Image contrast

Not stated

Biological sample availability

None/not available

Structural Metadata

Details

Publishing frequency

Static

Version

1.0.0

Modified

08/10/2024

Coverage

Start date

01/01/2023

End date

31/12/2020

Time lag

Not applicable

Accessibility

Language

en

Controlled vocabulary

OTHER

Format

text

Data Access Request

Dataset pipeline status

Not available

Time to dataset access

Not applicable

Jurisdiction

GB

Data Controller

Ardihia Informatics

Dataset Types: Health and disease


Collection Sources:

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