Hi Anelda,

>From the visual representation, I get that Visualisation only refers to a
means of communicating results (and not to a means of exploring data).  It
definitely makes sens in a reproducibility context.

In this category, I would add animated and interactive (web-based)
graphics, and even dashboards.

Best,
Marianne

On Wed, May 15, 2019, 2:52 PM Anelda van der Walt <[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]) 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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