E-science has reshaped meteorology due to the rate data is generated, collected, analyzed, and stored and brought data skills to a new prominence. Data information literacy-the skills needed to understand, use, manage, share, work with, and produce data-reflects the confluence of data skills with information literacy competencies. This research assessed perceptions of data information literacy and attitudes on its instruction for graduate students in meteorology. As academic librarians have traditionally provided information literacy instruction, the research determined if they were perceived as having a role in data information literacy instruction. The modified Delphi method was applied to obtain the perspectives of a panel of experts, representing students, librarians, professors, and researchers, for the purpose of forecasting and consensus-making. Through the consideration of the University of Oslo's Department of Geosciences' Meteorology Section, the research found that data information literacy skills were relevant to the work of meteorology students. Stakeholders perceived that academic librarians could play a future role in general instruction but that they would have to overcome obstacles to be involved in data information literacy instruction. For librarians to enter this domain, they would need to improve their technical skills, enhance their discipline-specific knowledge, or rely on collaborations. The significance of these findings was limited by the modest target population under examination; as a consequence, the results were strongly linked to the specific setting. Further studies would be necessary to determine their generalizability.cademic librarians have a history of facing changes in technology that vastly reshape their work. The digital age has brought incredible changes in the way information and data are produced, consumed, adapted, and shared, requiring a transformation of resources and services. At the same time, the meteorological community has undergone significant shifts as a consequence of e-science. E-science represents the unprecedented collection and analysis of data thanks to advances in high performance computational technology and networked environments. The scale of these data has accelerated scientific innovation and discovery but doi:10.5860/crl.77.4.536 crl16-828
Academic Librarians in Data Information Literacy Instruction 537has resulted in a deluge of data, some of which are messy and unstructured, and all of which are beyond the scope of manual control. Modern meteorology requires dealing with vast quantities of atmospheric measurements and running computation-and data-intensive models. For students in the field to engage with e-science data, they must have data skills to a degree not previously required. These skills-data information literacy skills-are the competencies needed to participate in the data-intensive research of e-science.We have explored perceptions of data information literacy skills and attitudes on their instruction for graduate students in meteorolog...