Keywords: Accessibility, Data Handling, Findability, Interoperability, Reproducibility, Scientific Literature
Author: Mark D. Wilkinson et al.
Publisher: Nature
Publication Year: 2016
Summary: The following article focuses on the need to improve data handling in order to ensure the reproducibility of results published in scientific literature. It sets forth the FAIR data principles (Findability, Accessibility, Interoperability, and Reproducibility). The article argues that FAIRness is a prerequisite for proper data management and stewardship. The ethical considerations are how academia can ensure proper stewardship of data and resources