In recent years, there has been a growing concern about a significant proportion (between 51% and 89%) of published research that are non-reproducible, largely due to lack of rigor in data management and analysis. This phenomenon contributes to losses of millions of funds invested in research. As a result, funding agencies and journals are increasingly requiring researchers to share, archive, and plan for the management of their data to foster the validation of published analyses and results of research studies. As research and information professionals respond to these new requirements, data curation knowledge is necessary for the effective management, long-term preservation, and reuse of data. This course will provide participants with knowledge of data management, best practices throughout the research life cycle from the planning stage to when data will be shared and made available within a trustworthy repository. This will increase researchers’ impact and support for open scientific inquiry.