Data is available only upon formal request and subject to approval.
Approved users receive a secure institute account and work with the data exclusively in our Trusted Research Environment (TRE) via remote desktop.
Request data (Email to us)Workshop training application for the MIE 2026 TRACE session. The purpose of this application is to demonstrate the TRACE data access workflow using a synthetic longitudinal clinical dataset. Participants will use the provided data to run example Python/Jupyter analyses and visualize cohort composition, disease activity over time, patient-level trajectories, and laboratory markers.
record_idscreen_dateic_obtainedconsent_dateie_allbrthdtcsexethnicsmokingbmimhcaticdmhstdtcdisease_durationdisease_behavioureim_presentvisit_attendedvisit_datesymptomspgacurrent_flarecmtrtaeynaetermesr_mm_hhb_mg_dlfec_calproc_typeproc_datedscompldsreasclinical_remissionibd_surgerytrt_escalationtrt_discontinuation| Version | Language | Type | Relation | Author | Date |
|---|---|---|---|---|---|
| Global v1 (Python v1) | Python | Single Script | Initial Implementation | trace20 | 2026-05-26 |
| Global v2 (Python v2) selected | Python | Multi-file Archive | Refinement/Bug Fix ← Global v1 | mmueller | 2026-05-26 |
| Global v3 (Python v3) | Python | Multi-file Archive | Refinement/Bug Fix ← Global v2 | loki | 2026-05-26 |