With an increasing focus at many universities on engagement and impact of scholarly work both in academia and outside, knowledge of data re-use is an important consideration when sharing a dataset. Traditional citation measures for data are difficult to track because scholars rarely cite datasets formally (Kratz and Strasser, 2015). Fortunately, there are other tools available for gathering metrics about reuse of data sets that can be used by scholars. These tools are called ‘altmetrics’, and they can capture both traditional scholarly measures of use (such as citations) as well as downloads, news and popular stories that reference a dataset, blog posts, and even social media buzz about data. These metrics can be a valuable tool for scholars to show all of the impact of their work. On this poster, data citations and altmetrics will be explained along with best practices for using tools to gather metrics
