Data curation is defined as “the active and ongoing management of data through its lifecycle of interest and usefulness to scholarship, science, and education.” (GSLIS) The volume of scientific data is growing exponentially across all scientific disciplines. This phenomenon has been termed the “data deluge.” The data deluge is now a fundamental characteristic of e-science and “big science,” especially in disciplines such as physics, astronomy, and earth and atmospheric sciences. Moreover, stakeholders are beginning to recognize the value in sharing data assets with each other and in curation of data for re-use over the long term. Competent information professionals are needed to curate this data for future research and education requirements.