Skip to end of metadata
Go to start of metadata

You are viewing an old version of this page. View the current version.

Compare with Current View Page History

« Previous Version 13 Next »

A good data definition provides ALL the characteristics of forms (questionnaires, CRFs) and the associated variables.  What is needed is good old "TLV".


Stands For..Overview

T

Type of Variable

The most common types are dates, number, coded variables (e.g., 0 = No, 1 = Yes;).

L

Layout and LogicIndicate the look and feel of the variable, and when it should be displayed (e.g., only show if subject is a male).

V

ValidationIndicate the rules that govern the acceptable variable values (acceptable range, units)

What To Do

Use A Spreadsheet

     Document your data definition using the spreadsheet sent by Studytrax.  Learn how to complete the spreadsheet here.

Leverage Standards

     Learn About Data Definition Standards (see here

Determine Forms

    For non-standardized forms (e.g., SF-36), the main factors that determine what variables to put on a form are:

  • Time - What variables are collected together at specific time points?
    • Note: Forms can be shared across studies (e.g., Demographics, Contact Information)
  • Collection Methods - Are all the variables on a forms ALWAYS collected together?  If not, often best to separate time-related groups of variables (e.g., rare vs. common lab values)
  • Domain - What variables belong to a given content domain (e.g., surgical vs. imaging variables)?
  • Practical -
    • Create Once - Forms are created ONCE and then used at one or more study visits. 
    • Pre-Defined Fields - Exclude any fields that are pre-defined in Studytrax:
      • Reference ID
        • Global ID (e.g., SSN, MRN, bogus auto-generated)
      • Project ID
        • Study specific (i.e., screening ID)
      • Randomization ID
      • Name (i.e., First, Last, Middle Initial)
      • Site 

Mark It UP

     The best preparation for completing the data definition spreadsheet is to mark all forms with the data definition characteristics.

      Example Marked Up Form

Keep It Simple

     Forms should use the cleanest, simplest layout possible.  Standard practice is to use one-row-per-variable (examples here).

 

Leverage Visual Validation

     A form's spatial and visual layout can be it's most important validation (see examples here).

Indicate Timing

     Document which forms are collected with each study event by completing the Data Collection Schedule tab on the "NewStudyStartup" spreadsheet (provided by Studytrax staff).






  • No labels