Main objective of data management are for data to be conserved, reused and integrated with other datasets from old dataset. Data integration is probably the technically most important and crucial of all the goals in data management. Integration defines that dataset can be retrieved and amended to other datasets to create greater, more informative and useful datasets. The Semantic Web is a tool that proposes to allow integration of disparate datasets. To use the Semantic Web, one needs to do the following.

1. Mark up the data in XML or similar format
2. Arrange the data elements in Resource Description Framework (RDF) statements
3. Identify each data element with a URI and make each data element available via that URI
4. Use a consistent ontology to label data elements

Below are few reasons why Data Integration is needed:

• Increase the visibility of your research
• Save time
• Simplify your life
• Preserve your data
• Increase your research efficiency
• Under line the technical issues.
• Documentation
• Meet big requirements
• Facilitate new discoveries and solve
• Support Open Access