By using NVivo to organize and analyze your files and "data", you can increase the 'transparency' of your research outcomes—you can:
Use memos and maps to record how you developed your ideas and hypotheses.
Document your thoughts and ideas (in a memo or map) throughout your review work and demonstrate how these have been applied as codes, queries and how you have tested them in analyses.
Build a database of files and create links between related files, authors and research topics.
Use codes to save useful quotes and places in your collected literature where you have identified "evidence gaps", bias, assumptions and avenues to explore further
Always return to the original context of your coded material.
Save and update the queries and visualizations continuously as you add more literature to your project.
You can demonstrate the credibility of your findings in the following ways:
Provide evidence for the strength of your conclusions by running a query to demonstrate how your findings compare with the views of other authors included in your review. This is called a "Framework Matrix".
Run queries to investigate how many participants talked about a theme. If you used multiple methods to collect the data (interviews, observations, surveys) find out if your findings are supported across these data files and how often they are talked about.
If you worked in a group and multiple reviewers coded the material in NVivo, document the consistency of the coding. Use coding stripes (or filter the contents in a code) to see how various team members have coded the material and run a Coding Comparison query to assess the level of agreement.