This article presents a perspective on an approach to data sharing in scientific publications. The essence of the approach is that data can be embedded in a human-readable and machine-addressable way within the traditional publishing environment. This is shown by examples for both computational and experimental data. A need for new authoring tools to facilitate data sharing has been articulated, and the tools that have been developed for this purpose are also discussed. With these tools, data generation, analysis, and manuscript preparation can be deeply integrated, resulting in easier and better data sharing in scientific publications.
Category: Articles
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