Data Management for Reproducible Research: Principles and Practices

Description

Data Management for Reproducible Research: Principles and Practices is a timely and essential guide that addresses the growing challenges of reproducibility in modern research. This book explores foundational principles of responsible data handling, ethical considerations, and the application of FAIR (Findable, Accessible, Interoperable, and Reusable) data principles. Through case studies and practical frameworks, it emphasizes transparency, standardization, metadata use, and the crucial role of academic libraries and information professionals in data stewardship. Designed for researchers, librarians, scholars, and policy-makers, it serves as a comprehensive resource for embedding reproducibility into the research lifecycle, ultimately reinforcing the integrity and trustworthiness of scientific knowledge in the digital era.