Publishing research data is a requirement for most federal funders and journals. However, not all published data is FAIR (Findable, Accessible, Interoperable & Reusable). Making your data publications FAIR maximizes the impact of your research. 

In this hands-on session we’ll comb through published datasets in different repositories, evaluating the data and supporting metadata for common issues such as missing information, inconsistent values, and contradictory or unclear documentation.As a group we’ll discuss what data management strategies were used or could have been used to make the datasets more FAIR.

This workshop is part of the Research Data Stewardship series. Sign up for each individual session you are interested in!