Yale DCC Docs

Data Coordinating Center (DCC) documentation for Yale, including study protocols and instruments, scoring procedures, data journeys, procedural workflows, and more.
play_arrowGetting Started

Select Process

Follow data through the DCC end to end, from a participant visit to a published release.

timelineData lifecycle

The path every measurement takes, from collection at the site to a versioned release.

1Collect: protocol and instrumentschevron_right 2Verify: quality controlchevron_right 3Organize: data conventionschevron_right 4Release: lifecycle and documentationchevron_right
assignment_turned_inQuality control

Five stages of quality control as data moves from the site to a curated release.

1Source / Acquisition QCchevron_right 2Ingestion QCchevron_right 3Preprocessed Data QCchevron_right 4Processed Data QCchevron_right 5Pre-Release QCchevron_right
event_noteRelease timeline

Key dates on the road to the public release.

ac_unitDCC Data FreezeTBD scienceFirst Beta Release (BR 1.0)TBD ruleRelease CandidateTBD flagPush to Bridge completedTBD
swap_callsData journeys

The data journey for each modality or data type, from acquisition through transfer to Lasso.

scienceBiospecimenchevron_rightpsychologyEEGchevron_righthow_to_regEnrollNowchevron_rightvisibilityEye Trackingchevron_rightpsychologyMRIComing soonassignmentREDCapchevron_rightvideocamVideo Scoringchevron_rightwatchWearable Sensorschevron_right
checklistSOPs

Step-by-step guides, including questionnaire deployment and screening in Lasso.

eventIn-Person Visit Workflowchevron_rightquizQuestionnaire Deploymentchevron_rightcalculateQuestionnaire Scoringchevron_right
dashboardDashboards

Dashboards for data quality, study progression, and governance live in the Lasso Platform.

fact_checkQuality Controlchevron_righttrending_upProgressionchevron_rightgavelGovernancechevron_rightscienceBiosampleschevron_right