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Efficient sharing of scientific knowledge is vital for research advancement and reproducibility. However, PDF dominance poses challenges in adhering to FAIR principles (Findability, Accessibility, Interoperability, Reusability). Some web-based frameworks enhance content interoperability using RDF and linked data but often target technical users. To address this, we introduce ``Semantically", a user-friendly platform for biomedical researchers that offers a semantic content authoring module, collaboration tools and improving annotation accuracy. We also propose a publishing infrastructure using schema. org to ensure machine-readable and well-organized datasets, enhancing data FAIRness. Combining Semantically's authoring module and schema. org provides a comprehensive solution for enhancing FAIRness and reproducibility of scientific content. ``Semantically" is an open-source tool accessible at~https: //github. com/bukharilab/SemanticallyGithub.
Abbas et al. (Mon,) studied this question.