Significant factors influencing the future of scholarly communication in the digital age are digitization, open access, AI and machine learning, blockchain technology, and collaboration. You can concentrate on the basics of these things and get an overview of how to reap benefits from an efficient use of available resources.
You may wish to know the basics of digital transformation in academic publishing in detail. The competitive digital transformation has influenced academic publishing by streamlining processes, capturing audience insights, improving content delivery, digital publishing platforms, citation management, shared infrastructure, and restructuring teams.
The role of digital transformation in scholarly communication
Digital transformation uses machine learning and artificial intelligence to improve the publishing process as this process is usually lengthy and complex. Digital publishing lets publishers get insights from online interactions, especially from comments and clicks. Publishers use these data and customize their content to reach maximum readers.
Scholarly communication is successfully evolving in different ways. However, some of the most popular ways are open access, multi-format content, collaboration, social media, data sharing, and new modes of communication. You can research evolving trends in scholarly communication and make an informed decision to enhance scholarly communication further.
Open access models become common for sharing content, especially databases, media archives, and peer-reviewed papers. Publishers worldwide include multimedia elements especially video summaries, interactive data visualizations, and virtual reality to ensure that research is accessible and engaging.
Academic networking and knowledge sharing
Digital scholarship and modern tools let scholars collaborate in modern ways and break down information silos. They facilitate interdisciplinary methods. Successful publishers adopt findable, accessible, interoperable, and reusable principles to encourage the efficient reuse of research datasets. They are very conscious about the future of academic networking and knowledge sharing today. Thus, they efficiently use modern resources and enhance their routine activities associated with scholarly communication.
