User Guide
This guide covers the Researcher Portal — the side of Data2Evidence you use to explore data and answer research questions. It assumes someone has already installed the platform and given you an account; if that is not the case yet, the Admin Guide covers installation and user management.
The pages follow the order you would meet the features in practice. Start with Introduction for what the platform is and which role you hold, then User Interface to find your way around. From there the typical path through a research question is: pick a Dataset and check its data quality, assemble the Concepts that describe what you are looking for, use them to define Cohorts, then characterize or compare those cohorts with Table 1, the pre-configured Analysis pipelines, or your own Python in a Notebook.
Terms like OMOP CDM, concept set or cohort are defined in the Glossary if any of them are unfamiliar.
Introduction
What Data2Evidence is, what it is intended for, browser requirements, and the Viewer, Researcher and Administrator user roles.
User Interface
A tour of the Researcher Portal: the dataset list page, the dataset card, and the navigation bar options.
Dataset
Explore a dataset in Data2Evidence: metadata, data characterization dashboards, data quality results, and requesting access.
Concepts
Search the OMOP vocabulary, inspect concept details and related concepts, and build reusable concept sets for cohort definitions.
Cohorts
Define patient cohorts with inclusion and exclusion criteria, browse and filter cohorts, and compare cohort groups against each other.
Notebooks
Run lightweight Python analyses on your cohort or dataset with in-browser Starboard notebooks, and share them with other users.
Analysis
Run the pre-configured analysis pipelines available in Data2Evidence, including Kaplan-Meier survival analysis.
Account activities
Manage your Data2Evidence account: view account details, change your password, read the legal documents, and sign out.
Table 1
Generate a Table 1 baseline characteristics table summarising demographics and clinical covariates for a study population.