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Additional file 2. PRISMA 2020 Checklist.

Additional file 3. PRISMA Flow Diagram.

Additional file 1. Database-specific search strategies.

A scoping review aiming to highlight the health needs of refugees in the Middle East and North Africa region. Further leading to an overall broad assessment of refugee’s situation with regards to access to healthcare in the MENA region and their most pressing needs in the past 10 years where the refugees crisis has been a major issue in this region.

Toolkit containing budget template, gantt chart, data sharing and authorship agreements, email templates, project management spreadsheets, and standard operating procedures, as a starting point for many common IPD-MA tasks in order to expedite the development and management of future IPD-MA projects

ObjectiveTo externally validate various prognostic models and scoring rules for predicting short term mortality in patients admitted to hospital for covid-19.DesignTwo stage individual participant data meta-analysis.SettingSecondary and tertiary care.Participants46 914 patients across 18 countries, admitted to a hospital with polymerase chain reaction confirmed covid-19 from November 2019 to April 2021.Data sourcesMultiple (clustered) cohorts in Brazil, Belgium, China, Czech Republic, Egypt, France, Iran, Israel, Italy, Mexico, Netherlands, Portugal, Russia, Saudi Arabia, Spain, Sweden, United Kingdom, and United States previously identified by a living systematic review of covid-19 prediction models published inThe BMJ, and through PROSPERO, reference checking, and expert knowledge.Model selection and eligibility criteriaPrognostic models identified by the living systematic review and through contacting experts. A priori models were excluded that had a high risk of bias in the participant domain of PROBAST (prediction model study risk of bias assessment tool) or for which the applicability was deemed poor.MethodsEight prognostic models with diverse predictors were identified and validated. A two stage individual participant data meta-analysis was performed of the estimated model concordance (C) statistic, calibration slope, calibration-in-the-large, and observed to expected ratio (O:E) across the included clusters.Main outcome measures30 day mortality or in-hospital mortality.ResultsDatasets included 27 clusters from 18 different countries and contained data on 46 914patients. The pooled estimates ranged from 0.67 to 0.80 (C statistic), 0.22 to 1.22 (calibration slope), and 0.18 to 2.59 (O:E ratio) and were prone to substantial between study heterogeneity. The 4C Mortality Score by Knight et al (pooled C statistic 0.80, 95% confidence interval 0.75 to 0.84, 95% prediction interval 0.72 to 0.86) and clinical model by Wang et al (0.77, 0.73 to 0.80, 0.63 to 0.87) had the highest discriminative ability. On average, 29% fewer deaths were observed than predicted by the 4C Mortality Score (pooled O:E 0.71, 95% confidence interval 0.45 to 1.11, 95% prediction interval 0.21 to 2.39), 35% fewer than predicted by the Wang clinical model (0.65, 0.52 to 0.82, 0.23 to 1.89), and 4% fewer than predicted by Xie et al’s model (0.96, 0.59 to 1.55, 0.21 to 4.28).ConclusionThe prognostic value of the included models varied greatly between the data sources. Although the Knight 4C Mortality Score and Wang clinical model appeared most promising, recalibration (intercept and slope updates) is needed before implementation in routine care.

Informed consent (IC) is key to generating and maintaining research participants' trust and upholding the ethical principle of respect for persons. Broad consent for future use, wherein researchers ask participants for their permission to share participant-level data and samples collected within the study for purposes loosely related to the study objectives, is central to enabling data and sample reuse. Here we present the protocol, consent forms, and interview guides for a cognitive interview study to evaluate how cohort participants understand the broad consent-related language in a template informed consent form from the University of California Institutional Review Board.

A rapid systematic review to identify areas of overlap between COVID-19-related IPD-MAs.

Protocol for a scoping review to identify and describe platforms and registries that harmonize participant-level COVID-19-related human subjects data

The European Commission hosted a series of workshops in the Fall of 2021 to develop recommendations for short and long term investments in improving adherence to the FAIR principles across European Union-funded health-related human subjects research Consortia and data sharing platforms. These resources for further reading on tools and guidance for implementing the FAIR principles in the context of human subjects health-related research were submitted by meeting participants.

Pre-meeting survey for European Union-funded data sharing platforms. The European Commission hosted a series of workshops in the Fall of 2021 to develop recommendations for short and long term investments in improving adherence to the FAIR principles across EU-funded health-related human subjects research Consortia and data sharing platforms. The pre-meeting surveys collected information on data sharing platforms' implementation of the FAIR principles, including the adoption of data capture or exchange standards and related plans or actions to implement FAIR.