Passiflora , commonly known as Passion Vines or Passion Flowers is a genus encompassing around 500 species, all of which exhibit such huge variation in leaf shape.  To further understand the unique diversity of Passiflora leaves, a recent paper published in GigaScience , presents a morphometric analysis and unique open dataset encompassing over 3,300 leaves from 40 different Passiflora species.

Should you cite preprints in your papers and should journals allow this? This is a topic that gets debated periodically. The most recent round of Twitter debate started last week when Martin Hunt pointed out that the journal Nucleic Acids Research wouldn’t allow him to cite them. A couple of days later I suggested that journals that don’t allow citing preprints are putting their authors’ at risk by forcing them not to cite relevant work.

The Weecology lab group run by Ethan White and Morgan Ernest at the University of Florida is seeking a Data Analyst to work collaboratively with faculty, graduate students, and postdocs to understand and model ecological systems. We’re looking for someone who enjoys tidying, managing, manipulating, visualizing, and analyzing data to help support scientific discovery.

Authors can now submit their bioRxiv preprints directly to GigaScience via the biorXiv platform, at the push of a button. This handy technical integration is another hallmark of biology preprints becoming a normal, accepted, and speedy way of communicating research results. Pre-prints, versions of a scholarly paper that precede formal publication in a peer-reviewed journal are  becoming increasingly mainstream.

We are very exited to announce a major new release of the Data Retriever, our software for making it quick and easy to get clean, ready to analyze, versions of publicly available data. The Data Retriever, automates the downloading, cleaning, and installing of ecological and environmental data into your choice of databases and flat file formats.

For the last few years, we have been working on the development of new Drosophila flight simulators. Now, finally, we are reaching a stage where we are starting to think about how to store the data we’ll be capturing both with Open Science in mind, but particularly keeping in mind that this will likely be the final major overhaul of this kind of data until I retire in 20 years.

Starting this year, I will stop traveling to any speaking engagements on open science (or, more generally, infrastructure reform), as long as these events do not entail a clear goal for action. I have several reasons for this decision, most of them boil down to a cost/benefit estimate. The time spent traveling does not seem worth the hardly noticeable benefits any more. I got involved in Open Science more than 10 years ago.

Imagine you would like to study a plant species of interest, say for its ability to supply food, fiber, fuel or just to gain a deeper scientific understanding. Two approaches immediately come to mind: an understanding of its underlying genetics and an understanding of plant phenomics, which spans how the genes express themselves across huge length scales from the microscopic to the whole plant itself.

There are a lot of really interesting works being published over at Research Ideas and Outcomes (RIO).  If you aren’t already following the updates you can do so via RSS, Twitter, or via email (scroll to the bottom for sign-up). In this post I’m going to discuss why Chad Hammond’s contribution is so remarkable and why it could represent an exciting model for a more transparent and more immediate future of scholarly communications.

Just a quick update to let you know how the new Research Ideas and Outcomes (RIO) journal is going. You may remember I wrote a blog post here explaining my enthusiasm for this new journal. I’m delighted to say it is exceeding my expectations.