2019

DORA and Wakelet: Two Badges!

Last week – just before Christmas – I received two badges. One from DORA (San Francisco Declaration on Research Assessment) and the other one from Wakelet. I thought about a little thank-you gift. What I came up with — killing two birds with one stone — was a Wakelet collection of DORA’s newsletter.
eduTech open-science || DORA wakelet

Wakelet: Share Visually-Engaging Stories

Storify is dead - long live Wakelet! This article features Wakelet, a similar program as the now-defunct Storify. But Wakelet is different in many aspects, and I bet it will stay for many years with us. Firstly it comes with many features Storify has lacked. It is already a full-fledged tool for content curation, presentation, and sharing. Secondly, it has a steadily growing user base where already some of the world’s most prominent organizations are using Wakelet. And the best of it: There is no Premium price model: Wakelet is free in all its functionality.
App web-service || wakelet

Advantages of URL shortener

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.
app web-service || citation url-shortener

Open Citations - TOS

This article is the second post of a series of ten contributions about a better understanding of the different aspects of Open Science. I want to collect material to develop a taxonomy of Open Science (TOS). Here I will outline the rationale and significance behind the Open Citation movement. Citations are the links that knit together our scientific and cultural knowledge. They need to be freely accessible, separated from their sources, such as journals, articles or books, machine-readable, and reusable. They have to be open to facilitate research on their structure and relationships.
open-science theory || open-citations taxonomy

Toward a Taxonomy of Open Science (TOS)

This post starts a series of ten contributions about a better understanding of the different aspects of Open Science. I want to collect material to develop a taxonomy of Open Science (TOS). The primary goal of this undertaking is not only to build a hierarchical system where every notion is unambiguous but to develop a heuristic tool useful for further research.
open-science theory || taxonomy

Bibliographic Metadata for your web page

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.
app bibliography open-science || zotero

Data Science Education with coursera

Beginning in December 2016, I initiated a new personal enterprise: Learning the statistical programming language R to acquire competencies of a data scientist. The post reports on my experience with a shortcoming on a coursera course and argues that even advanced MOOCs are often not designed to meet the particular requirements of self-determined learners. With the example of learning all the different ways to get data into the R environment, I show that designing different learning paths for different learner needs could be a solution.
data-science-education || coursera educational-design self-determined-learning

RStudio Snippets for Markdown

Code snippets are text macros which you can insert into your programs. They are used for repetitive tasks and can boost your productivity tremendously. After providing some link to tutorials about RStudio snippets, I am going to summarize eight reminders for practical usage.
how-to || snippet RStudio
| Last modified: 2019-06-06
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