Useful resources developed by the CCB members, for both new cohorts embarking on data collection and established cohorts interested in collaboration with an introduction of the Central Data Repository and the eCRF.
The Central Data Repository (CDR), currently under construction, will gather and display metadata from the cohorts across Europe targeting COVID-19, MPX (Monkeypox) and Sexually Transmitted Infections (STIs), through our work within the EU-funded VERDI project. As per the CoMeCT project, this CDR will later be expanded to include not only cohort studies (CSs), but also sections for Adaptive Platform Trials (APTs) and vaccine trials targeting infectious diseases (IDs) with endemic and pandemic potential.
Continuous mapping activities will be performed to ensure that the CDR is updated and able to provide a reliable overview of current studies and trials. The CDR will be user-friendly and publicly-available, with the information displayed in tables and graphics, and organised using filters. The aim of this CDR is twofold: on the one hand, to avoid duplication of effort and foster collaboration between projects and initiatives. On the other hand, it will provide a constant overview of running CSs and APTs for the European Commission and all relevant stakeholders to facilitate the selection of cohorts and APTs for the rapid activation of studies and response to new threats and unmet clinical needs in the context of pandemic preparedness plans. In order to upload their metadata, cohorts and trials will be sent a link to login.
We are actively looking to collaborate with other initiatives working in this area, and we welcome you to contact us if you are interested in collaboration.
Within the EU-funded VERDI project, the CCB has been developing a core dataset of variables to be collected for MPX and STI cohorts. Similarly, a core set of variables will be provided also for all IDs with epidemic or pandemic potential, as defined within the CoMeCT project. This will allow researchers from all over the world to use standardised items when investigating specific ID conditions, with the overarching result of providing clearer, more reliable results. Included in this work is the elaboration of an eCRF, that will be publicly available and downloadable as an Excel file.
We are actively looking to collaborate with other initiatives working in this area, and we welcome you to contact us if you are interested in collaboration.
