Published in Front Matter

In my last post I wrote about the importance of keeping things simple in scholarly publishing, today I want to go into more detail with one example: citations in scholarly documents. Citations are an essential part of scholarly documents, and they are summarized in the references section at the end of the article or book chapter. The problem is that not everything that is cited in a scholarly document ends up in the references list.

References

Joint Declaration of Data Citation Principles

Published
Authors Data Citation Synthesis Group, Maryann Martone

Sound, reproducible scholarship rests upon a foundation of robust, accessible data. For this to be so in practice as well as theory, data must be accorded due importance in the practice of scholarship and in the enduring scholarly record. In other words, data should be considered legitimate, citable products of research. Data citation, like the citation of other evidence and sources, is good research practice and is part of the scholarly ecosystem supporting data reuse. In support of this assertion, and to encourage good practice, we offer a set of guiding principles for data within scholarly literature, another dataset, or any other research object.

Computer and information sciences

Please keep it simple

Published

Doing scientific research is becoming increasingly complex, both in terms of the tools and technologies used, and in the collaboration across disciplines and locations that is increasingly commonplace. While the way we write up and publish research is of course also very different from 25 years ago, I would argue that our tools and services haven’t quite evolved at the same pace.