FAIR Principles
Year: 2024
Type: article
Abstract: This resource focuses on the FAIR principles—Findability, Accessibility, Interoperability, and Reusability—designed to enhance the management and sharing of scientific data. It provides an in-depth overview of how to implement these principles effectively to ensure data is discoverable, usable, and beneficial for a wide range of research purposes. The material includes practical examples, guidelines, and tools, and explains these principles using both scientific and real-life examples to support researchers in adopting FAIR data practices across disciplines.
Author: ÖZKAN, Dr. Özlem
Institution: Helmholtz-Zentrum Berlin für Materialien und Energie
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6911940227
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