Comments (18)
Thanks @gregcaporaso for the submission. Excited to see it here.
from jose-reviews.
@AstrobioMike submitted a review via email. Sorry, I needed to trigger the start of the review, so it could be completed here. Doing that now.
from jose-reviews.
Hello human, I'm @whedon. I'm here to help you with some common editorial tasks. @tracykteal it looks like you're currently assigned as the editor for this paper 🎉
For a list of things I can do to help you, just type:
@whedon commands
from jose-reviews.
Attempting PDF compilation. Reticulating splines etc...
from jose-reviews.
PDF failed to compile for issue #23 with the following error:
/app/vendor/ruby-2.3.4/lib/ruby/2.3.0/find.rb:43:in block in find': No such file or directory (Errno::ENOENT) from /app/vendor/ruby-2.3.4/lib/ruby/2.3.0/find.rb:43:in
collect!'
from /app/vendor/ruby-2.3.4/lib/ruby/2.3.0/find.rb:43:in find' from /app/vendor/bundle/ruby/2.3.0/bundler/gems/whedon-e0f72c5e8125/lib/whedon/processor.rb:57:in
find_paper_paths'
from /app/vendor/bundle/ruby/2.3.0/bundler/gems/whedon-e0f72c5e8125/bin/whedon:32:in prepare' from /app/vendor/bundle/ruby/2.3.0/gems/thor-0.20.0/lib/thor/command.rb:27:in
run'
from /app/vendor/bundle/ruby/2.3.0/gems/thor-0.20.0/lib/thor/invocation.rb:126:in invoke_command' from /app/vendor/bundle/ruby/2.3.0/gems/thor-0.20.0/lib/thor.rb:387:in
dispatch'
from /app/vendor/bundle/ruby/2.3.0/gems/thor-0.20.0/lib/thor/base.rb:466:in start' from /app/vendor/bundle/ruby/2.3.0/bundler/gems/whedon-e0f72c5e8125/bin/whedon:99:in
<top (required)>'
from /app/vendor/bundle/ruby/2.3.0/bin/whedon:22:in load' from /app/vendor/bundle/ruby/2.3.0/bin/whedon:22:in
from jose-reviews.
@tracykteal This submission is squarely on your field. Given the extent of the materials, I suggest you find three reviewers and divvy up the content for them to review. All could check installation, and so on, but could focus on just a section of the content.
from jose-reviews.
Thanks, I can be editor and good suggestion to divide up the review.
from jose-reviews.
@whedon assign @tracykteal as editor
from jose-reviews.
OK, the editor is @tracykteal
from jose-reviews.
@AstrobioMike would you be available to review? We can divide the content into sections for the pedagogy/content, so perhaps you could pick a section to review.
from jose-reviews.
Absolutely! Looking forward to it :) I'll post here with thoughts on specific section(s) after I get to look over things more closely
from jose-reviews.
@tracykteal, would it be possible to get a status update on this? It looks like review hasn't started yet - is that accurate?
from jose-reviews.
@whedon assign @AstrobioMike as reviewer
from jose-reviews.
OK, the reviewer is @AstrobioMike
from jose-reviews.
@tracykteal You were looking for a second reviewer for this submission, correct? Once you identify one, use @whedon add @username as reviewer
and then start the review (that way you get two checklists in the review issue, automatically).
from jose-reviews.
Hi @tracykteal and @labarba, has review started for this manuscript? Thanks for the update.
from jose-reviews.
@whedon start review
from jose-reviews.
OK, I've started the review over in #27. Feel free to close this issue now!
from jose-reviews.
Related Issues (20)
- [PRE REVIEW]: Planet_LB: Lattice-Boltzmann solutions for planetary geodynamics problems HOT 25
- [REVIEW]: R for Data Analysis: An open-source resource for teaching and learning analytics with R HOT 47
- [PRE REVIEW]: ChooChoo the Checklist tool HOT 33
- [PRE REVIEW]: A Data Carpentry- Style Metagenomics Workshop HOT 22
- [REVIEW]: Planet_LB: Lattice-Boltzmann solutions for planetary geodynamics problems HOT 95
- [REVIEW]: Manim Slides: A Python package for presenting Manim content anywhere HOT 71
- Tests: Are there automated tests or manual steps described so that the function of the software can be verified? HOT 1
- [REVIEW]: A Data Carpentry- Style Metagenomics Workshop HOT 73
- [PRE REVIEW]: languagemodels: A Python Package for Exploring Modern Natural Language Processing HOT 15
- [PRE REVIEW]: Check your outliers! An introduction to identifying statistical outliers in R with *easystats* HOT 58
- [PRE REVIEW]: An R Companion for Introduction to Data Mining HOT 52
- Community guidelines: Are there clear guidelines for third parties wishing to 1) Contribute to the software 2) Report issues or problems with the software 3) Seek support HOT 1
- Installation: Does installation proceed as outlined in the documentation? (and documentation is sufficient?) HOT 1
- Installation instructions: Is there a clearly stated list of dependencies? (Ideally these should be handled with an automated package management solution.) HOT 1
- Community guidelines: Are there clear guidelines for third parties wishing to 1) Contribute to the software 2) Report issues or problems with the software 3) Seek support HOT 1
- Authors: Does the `paper.md` file include a list of authors with their affiliations? HOT 1
- Installation: Does installation proceed as outlined in the documentation? (and documentation is sufficient?) HOT 1
- Performance: If there are any performance claims of the software, have they been confirmed? (If there are no claims, please check off this item.) HOT 1
- [REVIEW]: ChooChoo the Checklist tool HOT 20
- [REVIEW]: Check your outliers! An introduction to identifying statistical outliers in R with *easystats* HOT 113
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from jose-reviews.