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#joss

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I have been approach by an editor of #JOSS (fediscience.org/@joss@fosstodo) who told me about #JOSE (jose.theoj.org/ - for which I could not find a Mastodon handle).

The idea is to provide a low-hurdle academic reward for open access educational material -- with a particular computational emphasis.

Thing is, that you hardly get an academic “paper” if you develop teaching material. So, this might be appealing for some folk here. 😉

fediscience.orgFediScience.org

Some time ago, we published our #biopixR package in #JOSS

social.anoxinon.de/@RoedigerRG

Now Tim @devTLB and I are working on our review as promised here.

social.anoxinon.de/@RoedigerRG

The good news is, we have done most of the work on it. Now we are just polishing the paper.

We will likely share a link to a preprint server. Let's see how things evolve.

For the next few months, Dr. Andrej-Nikolai Spiess (openalex.org/works?page=1&filt) will be a guest in my working group.

We are working on a paper where we show that 29 % of papers in top journals like Science, Nature & PNAS were skewed by a single influential data point! Time to rethink our reliance on p-values and explore alternative measures like #dfstat. #reproducibilitycrisis #linearregression #rstats

Moreover, we will work on #qPCR related software like PCRedux (joss.theoj.org/papers/10.21105)

Replied in thread

Last December, the #rstats package #bcp was archived. 🙄
cran.r-project.org/package=bcp
As my package 📁 #PCRedux 🧬 depends on it, it had a similar fate (like some others). I vainly hoped that its maintainer would bring it back to #CRAN :rstats:. My plan is in the coming months to incorporate relevant code from bpc into my package or remove the dependent function within my package. Since it is published at #JOSS [1], this is important for me.
Let's see when this works out 🤞

[1] joss.theoj.org/papers/10.21105

cran.r-project.orgCRAN: Package bcp

Call for @joss reviewers:

EdgeVPN.io
repo: github.com/EdgeVPNio/evio
pre-review: github.com/openjournals/joss-r
language: Python

Description:

EdgeVPN.io is an evolution of the IP-over-P2P (IPOP) project. IPOP started as an IP-based peer-to-peer overlay targeting personal devices, and over time the architecture evolved to adopt various standards, support centralized user/group management, and incorporate software-defined networking, culminating in the current architecture, tailored for research and development in nascent edge computing applications.
...
EdgeVPNio is a research project to build networking for the fog, spanning the network continuum from the cloud to its edge. It builds networking cyber-infrastructure which supports emerging IoT era applications.

Looks like this one might be a bit of fun for #p2p people, or i suppose #DistributedSystems people generally. No prior experience reviewing for JOSS is required, experience with Python is required, and some experience with the topic area is preferred. Don't be shy! If you've never done open review before, JOSS is a great place to start. It's a really good way to learn by teaching (or learn by reading!) in a collaborative context. You can reply here or on the pre-review issue to volunteer :)

edit: would love to have some infosec people on this one! even and especially if you are not in academia :)

GitHubGitHub - EdgeVPNio/evio: Virtualized overlay networking for the fog. The Evio network spans the continuum, from the cloud to the edge, providing a virtual private layer 2 network suitable for edge devices in IoT workloads.Virtualized overlay networking for the fog. The Evio network spans the continuum, from the cloud to the edge, providing a virtual private layer 2 network suitable for edge devices in IoT workloads....

A spectacle⭐ of misunderstanding and perseverance in the realm of scientific publishing! 🌟

On one end, we have SoftwareX, firmly rooted in tradition, and on the other, the daring innovator, Journal of Open Source Software (JOSS) 📚!

#SoftwareX and #JOSS both illuminate the knowledge sphere brightly 🔦, dispelling the illusion that Diamond Open Access can't scale 💎. However, the remarkable trick lies not in the volume of their publications but within their differing processes.
👇

Here is a #JOSS paper about the main reusable thing from my #PhD: the :python: Python package PARMESAN 🧀 for meteorological turbulence and timeseries analysis:

doi.org/10.21105/joss.06127

PARMESAN integrates with #pandas, uses #sympy-based equations and handles units with pint.

I really like the approach of @joss: fully open infrastructure, automated workflows, everything feels really smooth. 👍

Journal of Open Source SoftwarePARMESAN: Meteorological Timeseries and Turbulence Analysis Backed by Symbolic MathematicsBüchau et al., (2024). PARMESAN: Meteorological Timeseries and Turbulence Analysis Backed by Symbolic Mathematics. Journal of Open Source Software, 9(94), 6127, https://doi.org/10.21105/joss.06127