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titleClinical Data Hierarchies
Gliffy Diagram
bordertrue
size600
displayNameSimple view of EDC Data
nameSimple view of EDC Data
pagePin12
Gliffy Diagram
size600
displayNameSimple view of Dataset data
nameSimple view of Dataset data
pagePin13

For ODM v2.0, there are 2 forms of the clinical data hierarchy.  The full subject data hierarchy (Figure 1) is typical of usage within data collection tools such as EDC systems. The dataset hierarchy (Figure 2) reflects data tabulation formats that are typical of usage for data review and submission.

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A StudyOID uniquely identifies a study. A SubjectKey uniquely identifies a subject within a study. SubjectKeys are not intended to be used to identify a subject across studies. 

Jira
serverIssue Tracker (JIRA)
columnIdsissuekey,summary,issuetype,created,updated,duedate,assignee,reporter,priority,status,resolution
columnskey,summary,type,created,updated,due,assignee,reporter,priority,status,resolution
serverId85506ce4-3cb3-3d91-85ee-f633aaaf4a45
keyODM-37
JiraserverIssue Tracker (JIRA)columnIdsissuekey,summary,issuetype,created,updated,duedate,assignee,reporter,priority,status,resolutioncolumnskey,summary,type,created,updated,due,assignee,reporter,priority,status,resolutionserverId85506ce4-3cb3-3d91-85ee-f633aaaf4a45keyODM-41

A StudyEventOID uniquely identifies a StudyEventDef within a study. However, there may be several study events of a particular type for a given subject. The StudyOID, the SubjectKey, the StudyEventOID, and a StudyEventRepeatKey are all needed to fully identify a particular study event.

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