Driver project 1
Evaluating the efficacy and safety of treatments of COVID-19.
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.
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What did it achieve?
Aggregating this level of summary data and making it accessible in the Workbench meant that these important assets were widely available to the community of researchers, allowing them to more readily interpret findings about COVID-19 trials. Researchers could also view this data in the context of other available evidence, thus expanding their insights.
Where are we now?
The data contributors were drawn from the pharmaceutical companies of the COVID-19 R&D Data Alliance who committed to providing summary-level data from their studies, and this expanded to additional companies and academic institutions and a partnership with Certara. These data contributors actively contributed their data throughout the initiative into our Workbench for researchers to analyse.
The project provided significant influence on all of the ICODA governance processes and technology platforms. It was the first to get up and running and provide feedback, working closely within the intiative to hone the experience for subsequent projects. It also provided insights into using real world data alongside clinical trials and highlighted the issues that remain even within a pandemic situation around data sharing.
|Translating data in a pandemic||Lancet Digital Health||Sept 2022||Article||During the global COVID-19 pandemic, researchers and clinicians have investigated how best to leverage technology and big data to provide virtual clinical care, model the effect of health policies on transmission, identify novel therapeutic treatments, and more…|
Data capture and sharing in the COVID-19 pandemic: a cause for concern
|Lancet Digital Health||Sept 2022||Publication||Routine health care and research have been profoundly influenced by digital-health technologies. These technologies range from primary data collection in electronic health records (EHRs) and administrative claims to web-based artificial-intelligence-driven analyses…|
|Pacifying A Pandemic With Numbers||Invivo – Informa Pharma Intelligence||Jun 2021||Article||Powered by prominent global health philanthropies and the UK’s world-class collaborative capabilities in disease surveillance, the new International COVID-19 Data Alliance (ICODA) is gearing up to address a crucial – and yet unanswered – policy question for public health: can sharing data curated from a diversity of sources provide the hard evidence needed to improve patient outcomes against the virus – not just for today’s pandemic, but for future ones as well? Much will depend on a robust response from big pharma…|
Data and Analytics – Put your expertise to work to address the COVID-19 pandemic
|Biopharmaceutical report||Sep 2021||Article||The worldwide toll of the COVID-19 pandemic is substantial, so is the response of the many professionals in healthcare. Be it in the patient care, research or government sectors, many talented experts have joined together to advance the development of treatments to
address infections from the virus
Open Science to Address COVID-19: Sharing Data to Make Our Research Investment Go Further
|Springer Nature||Dec 2020||Publication||Over 1000 randomized clinical trials (RCTs) for the treatment and prevention of COVID-19 have been initiated. With access to the data from RCTs, researchers can integrate and summarize findings, evaluate new hypotheses, design future trials, and prioritize the next research questions to be addressed…|
|Driver Project 1 Curated Output Dataset – Safety and Efficacy of COVID19 Treatments||Metadata||This dataset is a curated dataset of all pharmaceutical data which have been received by ICODA Driver Project 1 to date. This dataset contains data on the safety and efficacy of different interventions used to treat COVID-19.|
|Data dictionary for ICODA Safety and Efficacy of clinical trials driver project (version 1)||Metadata||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|
|Data dictionary for ICODA Safety and Efficacy of clinical trials driver project (version 2)||Metadata||The second version of the metadata describing the data format for data contributions to the International COVID-19 Data Alliance (ICODA) driver project investigating the safety and efficacy of clinical trials was published in May 2021.|
|Data dictionary for ICODA Safety and Efficacy of clinical trials driver project (version 3)||Metadata||The third and latest version of the metadata describing the data format for data contributions to the International COVID-19 Data Alliance (ICODA) driver project investigating the safety and efficacy of clinical trials was published in November 2021.|