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The value in data, is not in the data but in the relationship it has to other data. 

Introduction

The whole purpose of a database is the representation of the physical world. The accuracy of the representation depends on the design of the database.

Design of the Relational Database

Normalization  Forms

1st Normal

2nd Normal

3rd Normal

4th Normal

Indexes

Primary Key

Foreign Key

Advantages of A Relational Database

The advance of using a relational database with "unstructured" research data is that relational databases are very flexible. Data can be placed in tables that can be largely independent of the other "table of data." You can add, delete (to a certain degree), or change data in a table without affecting the data in other tables.  

Research

The value in data, is not in the data but in the relationship it has to other data. 

Relationships

Domains and constraints cannot be determined in advance of the creation of the database for research. It is the research function to determine these relations. 

It is the research that determines the patterns or structure within this data.

Therefore it may not be possible to "normalize" the database if the relationships or not known. As structure is imposed on the data, the database becomes harder to manage. 

Null Values (the effect on research)

If logical database design requires a table with several columns that allow null values, it may be more efficient to consider placing these columns in another table linked to the primary table. 

Issues

In a relation database it is assumed that as the "state" of the real world changes, so does the current relation state. In addition it is assumed that the schema R is relatively static (Elmasri-Navathe, pg 140).

However, this may not be true for "real life." It is in fact the goal of public health to change this schema and the domain of values. 

 

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