Discoverable COVID-19 cohort and biobank sample data and metadata uploaded in the ‘cohort browser

Task 81 COVID19 cohort metadata in the cohort browserLead EMBL other beneficiaries and partners involved UKHD UCD RIMUHC MaelstromWhile completing Task 81 we will focus on collecting metadata from the existing COVID19 cohorts that have been initiated and will emerge over the next two years by asking their coordinators to participate in the metadata sharing initiative Mapping existing studies with human populations will be a first step towards engaging in individuallevel data sharing with a focus on clinicalepidemiological data as well as OMICS data types We will catalogue and make discoverable nonsensitive metadata from COVID19 cohorts through dissemination of an electronic survey to investigators identified through funders eg EC personal contacts clinical study registries eg clinicaltrialsgov and through extraction of publicly available metadata for studies that do not respond to the survey We plan to advance towards reporting systems through which users will be able to declare and update new cohorts and study groups COVID19 specific repositories of clinicalepidemiological data and biorepositories The source databases that are able to systematically declare their holdings be clearly reported when they become available from the Cohort Cloud see WP4 task 45 These publishable data types ie metadata documentation of analyses and related results will be presented in the Cohort Browser that is under development in WP5 task 52 For serological surveys the biological and epidemiological sources of methodological heterogeneity need to be reconciled in order to generate a meaningful harmonised SARSCoV2 European seroprevalence database that would allow the production of dynamic mapsWherever possible we will collaborate with existing initiatives in order to avoid duplication of effort For example regarding the collection of metadata for COVID19 research projects we will synergise with ECRIN an ECfunded platform on clinical trials We will also work closely with existing eg covid19hgorg or planned initiatives eg httpscovid19crcorg to prevent the proliferation of disparate COVID19 data sharing platforms focused on the collection and harmonisation of COVID19 clinicalepidemiological and omics data types