Analyzing your data
Data analysis is the core of your research project. Analysis can be very simple to very complex depending on the data and research methodology. Previous lifecycle stages should have prepared you for analysis by choosing formats, short term storage, and a distribution method for your team to collaborate. It is a good idea to document your analysis methods.
Plan for it!
When planning for this stage in your data management plan, it is critical to describe how data analysis will be documented. This documentation may include workflow diagrams and code commentary similar to the data processing stage. The detail of description will depend on the complexity of analysis.
Finding help at MSU
- Center for Statistical Training and Consulting (CSTAT)
- Statistical Consulting Services - Academic Technology Services (ATS)
- Statistical Consulting Center – CANR Biometry Group
Source: DDI Structural Reform Group. "DDIVersion 3.0 Conceptual Model." DDI Alliance. 2004.