This is a nicely written article. It is an introduction to the realization/implementation of Open Data in the research context. I think it achieves the aim.
The language is simple and straight, and the message is delivered.
I have got only one suggestion for the actual content. You may want to add http://www.zenodo.org/ to the comparison in Table 2.
As the article is aimed to beginners, I tried to read it with such a viewpoint.
I realized that the manuscript may benefit from spending some words on the concept of Open Data and the related licenses.
Therefore, I have three suggestions for expanding the article.
1) The paper is an introduction to realizing Open Data. However, the term Open Data appears only once (line 399, in the references). I think that putting the term Open Data in the Abstract may improve the visibility of the manuscript.
2) As the article is for people with a very little understanding of Open Science stuff, a tiny sub-section (1.1?) on Open Data would make it attractive for beginners. In my field (Computer Science), even not-so-senior researchers fail to understand the difference between Open Access and Open Data. They do not embrace openness because they do not understand it at the first stance. So, they simply avoid it. I guess this happens in other fields, too. Your article has the potential to address this issue
3) Section 9 could be improved with an introduction to CC licenses. Again, the world is still full of researchers who do not understand them. Thus, they avoid them. For example, I would be happy to see this manuscript explaining/answering (with few lines):
3.1) "Why should I choose a license? I could simply upload the data to my personal Web page. Everybody would be free to download it.". This concern is less trivial than what it looks like.
3.2) The difference between public domain and CC0 waiver. For example, public domain varies per jurisdiction, and it is not universally recognized. CC0 is designed to address these issues.
I wish you good luck with your endeavor.