This blog entry announces the R program coinsR to produce bibliographic metadata automatically for websites within the Hugo framework. The dominant use case at the moment is with the blogdown package.
Citing and visiting web addresses with long URLs is sometimes complicated. Long URLs are particularly a hardness when there are no clickable links but only long strings printed on paper. This article suggests URL shortener to avoid the hurdle mentioned above.
With Web 2.0, we see a radical change in scholarly communication. This transition period poses problems for the researcher as the challenges have multiplied. On the one hand, there is a growing need to be present on different web channels (blog, twitter, youtube, and much more). On the other hand, the more traditional ways of publications in high ranked peer review channels are still prevalent. I present in this post a workaround to fulfill both requirements at a certain level: Embed bibliographic metadata in your web pages so that they can be cited and count as a web publication.
The article reports on my experiences with the premium version of Grammarly, an AI-powered web service for grammar and spell checking. As this is going to be a very positive review, I want to disclose that I am not affiliated in any way with Grammarly Inc., the enterprise behind this product.