Creating data from humanities sources helps identify themes within a source and find ways to categorize and better understand the content. By giving you a resource you can annotate and re-read many times, creating data categories can help identify themes across sources and connect similarities you may not have seen before. Humanities and studying history involve deeply understanding your research question and the sources you deem relevant; data can be a tool to deepen your understanding and help others see the connections and discoverability of your primary sources. Data can help answer many questions that traditional methods cannot. Data can serve as a processing tool to understand large datasets quickly, rather than through the time-consuming process of individual analysis. As stated before, it can connect themes and ideas across many sources and help break down your research question to identify sources that may not support your main argument or topic. While data is important, the process of transforming sources into data needs to be communicated by scholars using it in their arguments. Data is a representation of the information in a primary source or text; the issue with this is that the information may not always be accurate. Therefore, when you use data in an argument, it could not always represent the full picture or the historical process of validating a source. With this in mind, it’s a great way to spot historical accuracy or the common themes or roadblocks in research. Context and narrative are important in every source used in an argument, and oftentimes, with data, it removes the quieter biases that reside in many primary sources. While this is an important idea to point out, it’s still a positive for overall research and can help aid in understanding and elevating research processes and building online resources for discoverability and data lifecycle.