biostudies-literatureBauermeister SNIA NIH HHSMedical Research CouncilWellcome Trust179-187https://www.ebi.ac.uk/biostudies/studies/S-EPMC9825071biostudies-literatureUnknown38(2)Research-ready data (data curated to a defined standard) increase scientific opportunity and rigour by integrating the data environment. The development of research platforms has highlighted the value of research-ready data, particularly for multi-cohort analyses. Following stakeholder consultation, a standard data model (C-Surv) optimised for data discovery, was developed using data from 5 population and clinical cohort studies. The model uses a four-tier nested structure based on 18 data themes selected according to user behaviour or technology. Standard variable naming conventions are applied to uniquely identify variables within the context of longitudinal studies. The data model was used to develop a harmonised dataset for 11 cohorts. This dataset populated the Cohort Explorer data diEuropean journal of epidemiologyResearch-ready data: the C-Surv data model.PMC9825071MC_PC_17228MR/L023784/2MR/L023784/1R01 AG017644216767/Z/19/ZMR/T033371/1MR/L023784/1 and MR/L023784/2Newbury MThompson SBauermeister JRSquires EYoung SBridgman RBauermeister SOrton CFelici CNorth LGallacher JEfalseResearch-ready data: the C-Surv data model.Research-ready data (data curated to a defined standard) increase scientific opportunity and rigour by integrating the data environment. The development of research platforms has highlighted the value of research-ready data, particularly for multi-cohort analyses. Following stakeholder consultation, a standard data model (C-Surv) optimised for data discovery, was developed using data from 5 population and clinical cohort studies. The model uses a four-tier nested structure based on 18 data themes selected according to user behaviour or technology. Standard variable naming conventions are applied to uniquely identify variables within the context of longitudinal studies. The data model was used to develop a harmonised dataset for 11 cohorts. This dataset populated the Cohort Explorer data di2023-01-01T00:00:00Z2023 Feb2026-03-27T15:47:40.284Z2025-04-07T08:44:54.61ZS-EPMC98250713660989610.1007/s10654-022-00916-y