Scientific information across media, journals, databases and big data

The modern landscape of scientific information is shaped by rapid technological advancements, evolving publication models, and the growing importance of data-driven research. This book provides a comprehensive overview of the systems underpinning scientific publishing, offering valuable insights into key aspects such as peer review, publication metrics, open-access models, and preprints. It examines the roles of traditional journals, databases, and media in disseminating knowledge and highlights how big data and artificial intelligence, including generative AI tools, are transforming the accessibility and analysis of scientific information. Readers will explore practical topics, including how to navigate the publication process, understand the significance of metrics like the IF and H-index, and evaluate the implications of open-access publishing. The book also addresses challenges such as the rise of predatory journals and unethical publication practices, equipping readers with tools to make informed decisions and maintain research integrity. Readers will better understand the evolving dynamics of scholarly publishing and gain practical guidance for enhancing the visibility, impact, and ethical standing of their research in an interconnected world. It is a valuable resource for anyone looking to navigate the opportunities of today's scientific communication ecosystem.