Improvements for Man and Machine in Scientific Publishing - GigaBlog

"The need for information from research outputs to be more findable, accessible, interoperable, and reusable (FAIR) has spurred researchers, database managers, and publishers to continually look for new and better ways to make information machine-readable. Another equally important area is creating articles that readers can actively engage with, rather than passively taking in information from reading a published article. One tool that easily improves machine readability of data is a data standard called Frictionless Data, developed by the Open Knowledge Foundation. Published today in GigaByte a new Technical Release paper demonstrates that not only does Frictionless Data drastically improve machine readability, it can also turn normally static figures within the article into dynamic entities that allow readers to directly interact with the data within the article. Demonstrating that the use of Frictionless Data can tackle two important activities: allowing both man and machine to use and directly engage with scientific outputs in a dynamic fashion...."