datazar

[This article was first published on R – Xi'an's Og, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

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.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)