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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.
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Stored only when both papers are in the corpus — 29 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.