Postagens de Rogue Scholar

language
Publicados in GigaBlog

Today we have a guest posting from F1000’s Iain Hrynaszkiewicz covering the topic of medical data sharing One of the world’s most influential medical journals recently highlighted data sharing as an important issue to be addressed if we are to improve the quality of reporting of biomedical research.

Publicados in quantixed

A recent opinion piece published in eLife bemoaned the way that citations are used to judge academics because we are not even certain of the veracity of this information. The main complaint was that Google Scholar – a service that aggregates citations to articles using a computer program – may be less-than-reliable. There are three main sources of citation statistics: Scopus, Web of Knowledge/Science and Google Scholar;

Publicados in bjoern.brembs.blog
Autor Björn Brembs

Thinking more generally about the “Recursive Fury” debacle, something struck me as somewhat of an eye opener: the lack of support for the authors by Frontiers and the demonstrative support by their institution, UWA (posting the retracted article). Even though this might be the first time a scholarly journal caved in to legal pressure from anti-science groups, it should perhaps come as no surprise.

Publicados in quantixed

How long does it take to publish a paper? The answer is – in our experience, at least – about 9 months. That’s right, it takes about the same amount of time to have a baby as it does to publish a scientific paper. Discussing how we can make the publication process quicker is for another day. Right now, let’s get into the numbers.

Publicados in quantixed

#paperoftheday #potd A common complaint from other PIs is that they “don’t read enough any more”. I feel like this too and a solution was proposed by a friend of a friend*: try to read one paper per day. This seemed like a good idea and I started to do this in 2013. The rules, obviously, can be set by you. Here’s my version: Read one paper each working day.

Publicados in bjoern.brembs.blog
Autor Björn Brembs

tl;dr: So far, I can’t see any principal difference between our three kinds of intellectual output: software, data and texts.   I admit I’m somewhat surprised that there appears to be a need to write this post in 2014. After all, this is not really the dawn of the digital age any more.

Publicados in GigaBlog

Push the button! GigaScience moves toward more interactive articles Research articles are being published with increasingly large and complicated supporting datasets, together with the software code used in analyses of the data.