Towards a Cureus Data Repository

*Co-authored by John R. Adler & Achim Schweikard

Most scientific articles come with some form of data. For Cureus, our data includes medical images, graphics, drawings and tables. Access to such data enables a reader to verify the content and credibility of an article while also better understanding it. Many types of data, provided they are findable via search, can have value to readers independent of the article with which it was originally connected; medical imagery and genetic sequencing information being cases in point. For example, with modern methods of machine learning requiring large data sets for training, journals are a logical repository for such information. Therefore a peer-reviewed article that provides access to data will oftentimes prove much more valuable than that same article without data. Especially for internet-based media with access to large amounts of digital storage space, data sharing between authors and readers would and should become a standard. As an example, instead of showing data for a single representative case in an article, which is typical for traditional journals, we could make data for all cases in this article available to readers. Readers could then download such enhanced data sets directly in electronic format.

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