Background/Objectives: Long COVID-19 is characterized by persistent symptoms lasting three months or more following SARS-CoV-2 infection. Nutrition has emerged as a modifiable factor influencing recovery trajectories and symptom burden; however, existing evidence remains fragmented across diverse study designs and populations. This scoping review synthesized global evidence on the role of diet and nutrition in managing long COVID-19 symptoms and supporting recovery. Methods: Following PRISMA-ScR and Joanna Briggs Institute guidelines for scoping reviews, we searched major biomedical databases for studies published between 2020 and 2025. Eligible studies examined dietary intake, nutritional status, or nutrition-related interventions in adults with long COVID-19. Results: After duplicates were removed, 1808 records were screened, resulting in 50 studies that met the inclusion criteria—27 intervention studies and 23 observational studies. Nutritional exposures included micronutrients (e.g., vitamins D, K₂), amino acids (e.g., L-arginine), multinutrient formulations, microbiota-targeted therapies (e.g., probiotics, synbiotics), nutritional status, diet quality, and whole-diet patterns (e.g., the Mediterranean diet). Approximately 76% of studies reported improvements in long COVID-19-related symptoms such as fatigue, mood disturbances, physical function, and markers of inflammation. Conclusions: Diet and nutrition may support long COVID-19 recovery by targeting inflammation and the gut microbiome to alleviate symptoms and improve functional outcomes. Well-powered trials of whole-diet approaches, combined with targeted supplementation, are needed to confirm their potential as scalable, accessible tools for post-COVID-19 recovery and management.

As part of an effort to seek sustainable support models for Open Access (OA) publishing, the University of Maryland, Baltimore (UMB), Health Sciences and Human Services Library’s (HSHSL’s) Scholarly Communications Committee developed an interactive dashboard to visualize university-wide OA publishing trends. Using publication data exported from Scopus and visualized in Microsoft Power BI, the dashboard displays five years of publishing trends by OA model, publisher, journal, school, and citation count. The dashboard is fully interactive, allowing users to filter results based on school, OA model, and year. The design of the dashboard was iterative, with planning discussions taking place in Summer 2024, data model development and initial data collection in Fall 2024, refining of the visualization and data model in early Spring 2025, and the publication of the final dashboard to our website in April 2025. The dashboard continues to be refined and improved based on feedback from stakeholders, and the project team plans to incorporate data on publishing costs in Spring 2026. The project was designed for sustainability and adaptability, with a documented workflow that will be easy for future committees to implement. This innovative, replicable approach supports informed decision-making around OA publishing and provides a model that can be adopted by other academic health sciences libraries.