The importance of data-sharing to the successful conduct of research is well documented, and research sponsors increasingly require that data and findings be made publicly available. Shared agricultural data has many applications including crop and climate change models, informing cover crop rotations, or plant breeding lines. Agricultural researchers who follow data-sharing best practices advance the state of agricultural research. While surveys and interviews about researcher perceptions or behaviors regarding data sharing are fairly common, studies on actual data-sharing practices as seen in the scholarly record are less plentiful. To address this gap, members of the AgNIC Data Working Group conducted a systematized review to examine the data-sharing practices of agricultural researchers at our institutions. Our study focused on corn and soybean production research published from 2017-2022. We searched four databases, retrieved 8,271 articles, and created a randomized sample of 1,250 papers that contained an equal number of examples from each year. Following a rigorous set of inclusion and exclusion criteria, we reviewed and screened each article in the sample. We recorded whether the researchers shared data, characteristics of the data that was shared, details about funders, and information about the researchers' home institutions. Our presentation will explore the results of the study and discuss what trends we found through the comprehensive review of articles. Attendees will learn about the data-sharing behavior of agricultural researchers, including aspects of the FAIR principles, and the influence of funder mandates. We will also offer suggestions for ways agricultural data sharing can be improved. Our results are useful for librarians or data professionals interested in helping researchers at their institutions with sharing datasets and promoting best data practices.