In a well-organized UX research repository, you'll typically find the raw research data collected from internal or external sources, surveys, or studies. That data may include everything from survey responses to timed task results.
Keeping all of this data is important, as it allows you to defend any conclusions you may have reached. Further, maintaining it in an organized and searchable format will help you leverage the raw data in new studies as needed.
Additionally, you'll have your quantitative and qualitative research studies in your repository. They should be organized, searchable, and easily accessible across your organization.
Of course, you should maintain strict controls over who can make changes to these documents and place restrictions on sharing outside your company. But for those who have permission, your UX research repository should be as easy to use as possible.
You should also include observations and conclusions from evaluating your UX repository's content. When you've completed and uploaded multiple research projects and data sets, you'll undoubtedly find some interesting insights by periodically reviewing and analyzing your UX research repository's contents.
And when you conduct a meta-analysis or systemic review of your repository's content, preserve that as well. You'll want to save those insights for future reference so that others can build on that work.
Finally, incorporate data analysis tools into your repository. Many platforms, like Dovetail, include data analysis tools that allow you to evaluate, visualize, and synthesize the raw data in your repository. And some companies that custom-build their own repositories incorporate such tools.
To maximize its utility, you'll want to incorporate such tools or use platforms with built-in tools that allow repository users to analyze data and engage in further research.