Hi,

This effort might also be good to keep an eye on - or know where to place 
relative to this activity - 
https://www.turing.ac.uk/research/research-projects/turing-way-handbook-reproducible-data-science

Best
Shoaib

On 15 May 2019, at 13:50, Anelda van der Walt 
<[email protected]<mailto:[email protected]>> wrote:

Hi community,

Which categories would you suggest for a Reproducibility for Everyone website 
and resources? I've looked at existing reproducibility websites, courses, 
slides, data life cycles, research life cycles, open science resources, etc and 
came up with the suggestion below. Also see attached for visual representation. 
How can we improve on this?

I'm working with the Reproducibility for Everyone group as part of a Mozilla 
Mini-grant to help with content management and organisation. The existing 
materials and resources are mostly related to either general contexts or the 
life sciences, but we want to open things up for other groups to join and 
contribute as well in future.

Please help us by replying here (remember reply means you'll send the email to 
everyone - alternatively just email 
[email protected]<mailto:[email protected]>) or comment on the 
Github issue - https://github.com/repro4everyone/resources/issues/1

Current suggestions:

  *   Reproducibility Dictionary:
     *   definitions
     *   types of reproducibilty
     *   related terminology
     *   backround
     *   philosophy
     *   etc.
  *   Reproducibility and Literature Reviews:
     *   keeping track (reference managers)
     *   annotation
     *   sharing (sharing libraries)
  *   Reproducibilty in Research Planning:
     *   data management plans
     *   pre-registration
     *   project organisation
     *   study design (including power/stats/etc)
  *   Reproducibility and Sharing:
     *   collaboration tools
     *   licensing
     *   funder & journal policies
     *   publishing
     *   sharing in-house developed resources (e.g. reagents, materials, 
software, other)
  *   Experiments:
     *   materials
     *   protocols
     *   lab notebooks
     *   data collection & creation
     *   metadata
  *   Analysis & Computation:
     *   statistics
     *   scripts/code
     *   version control
     *   containers/environments
     *   workflows
  *   Visualisation
     *   images
     *   plots
  *   Other Resources
     *   presentations, workshops, websites, twitter handles, etc, etc.

Your input is much appreciated!

Kind regards,

Anelda
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