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Getting Started

This guide will help you get started with Metricis, whether you're a developer, researcher, or study coordinator.

What is Metricis?

Metricis is a mobile-first platform for: - Cognitive assessments using validated tasks built on jsPsych - Electronic data capture (EDC) for clinical research - Data quality management with validation, queries, and SDV - REDCap integration for seamless data flow

Who is Metricis For?

Researchers

Configure studies, manage participants, review data, and export results through the researcher portal.

Study Coordinators

Enroll participants, monitor data collection, resolve queries, and ensure data quality.

Participants

Complete assessments on mobile devices (iOS/Android) or web browsers with offline support.

Developers

Extend Metricis with custom assessments, validation rules, or integrations.

Key Concepts

Studies

A study represents a clinical research project with: - Study configuration (title, protocol, IRB info) - Participant enrollment - Visit schedule - Form definitions (batteries, questionnaires) - Validation rules and data quality settings

Participants

Individuals enrolled in studies who complete assessments and forms.

Visits

Scheduled time points when participants complete assessments (e.g., Baseline, Week 4, Month 6).

Forms

Data collection instruments including: - Cognitive batteries: jsPsych task sequences - Questionnaires: SurveyJS forms (demographics, medical history, etc.) - Assessments: Individual cognitive tasks or questionnaires

Form Workflow

Forms progress through stages: 1. Not Started: Form assigned but not begun 2. In Progress: Partially completed (draft saved) 3. Complete: All required fields filled 4. Signed: Electronic signature applied 5. Locked: Finalized, no further edits allowed

Quality Flags

Orthogonal to workflow status, quality flags indicate data issues: - Errors: Blocking validation errors - Warnings: Non-blocking validation warnings - Queries: Open data quality queries - Review: Requires manual review - SDV: Source data discrepancy found

Next Steps