datazar

June 3, 2017
By

(This article was first published on R – Xi'an's Og, and kindly contributed to R-bloggers)

A few weeks ago and then some, I [as occasional blogger!] got contacted by datazar.com to write a piece on this data-sharing platform. I then went and checked what this was all about, having the vague impression this was a platform where I could store and tun R codes, besides dropping collective projects, but from what I quickly read, it sounds more like being able to run R scripts from one’s machine using data and code stored on datazar.com. But after reading just one more blog entry I finally understood it is also possible to run R, SQL, NotebookJS (and LaTeX) directly on that platform, without downloading code or data to one’s machine. Which makes it a definitive plus with this site, as users can experiment with no transfer to their computer. Hence on a larger variety of platforms. While personally I do not [yet?] see how to use it for my research or [limited] teaching, it seems like an [yet another] interesting exploration of the positive uses of Internet to collaborate and communicate on scientific issues! With no opinion on privacy and data protection offered by the site, of course.

Filed under: R, Statistics, University life Tagged: blogging, data privacy, data science, data-sharing, datazar.com, LaTeX, R, R-bloggers

To leave a comment for the author, please follow the link and comment on their blog: R – Xi'an's Og.

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