Data Model Creation

Highlights: Every study has a data model that is unique. Most have as the primary table a Subject or Patient, but it can be a Mouse or TissueSample.


We have provided a very simple example, but the application can handle many levels of tables and much greater complexity.


Key Structure: If you are familiar with Relational Database Management Systems, you know that you have to design key structures. QuesGen handles that for you.




Data Types: QuesGen supports all of the standard data types:
- Text
- Numeric (decimal, integer)
- Date
- DateTime
- Memo

The first step in developing a study database is creating the data model. Most of the studies that we are involved with have some or all of this determined based existing data. We consult with our investigators to make sure that the data is structured for ease of data entry and analysis.

In this simple example, the database includes a Subject table, three visits (Baseline, Six Month and One Year) as well as Consent, Medications List and Adverse Events tables. The QuesGen system provides a completely flexible model and names, structures and variables on each table are determined for each study.




Understand the data model?

Using QuesGen, you don't have to be a database designer. We will work with your team to develop a good data model that supports your research requirements.

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