Difference between revisions of "Rdviz-culture"

From Responsible Data Wiki
Jump to: navigation, search
(Created page with " == Outputs == ''Description of a minimum viable product, aspirational output, stretch goals, etc.'' == Notes == == Audience == ''Personas, use cases, context'' == Next ste...")
 
(Notes)
Line 4: Line 4:
  
 
== Notes ==
 
== Notes ==
 +
 +
Culture (producers and consumers)
 +
 +
Possible Outputs
 +
 +
* Cultural checklist or guide
 +
* Mentorship program (physical/virtual meetup space)
 +
* Human-centered design for dataviz
 +
* Manifesto
 +
** Active discussion tool/platform (wiki?)
 +
** Open source tools
 +
** “The Manifesto of the Missing People”
 +
* kids, African, Asian, etc.
 +
* here is the list of people who are not here
 +
* how do we start to include them?
 +
* Resources of/for people who have agreed to abide by it
 +
* “I’ve agreed to commit to this as part of my practice”
 +
* Tap into featured people who are already in the conversation
 +
** The Inclusive Data Visualization Project
 +
* Tell by showing—case studies; blog posts
 +
* Tools
 +
* Link dump/Resource page
 +
* Checklist
 +
* Access—low bandwidth, no English
 +
* Not seeing themselves in the data—gender, race
 +
* Seeing themselves in the eyes of others
 +
* “a sketchpad for people to say, ‘this is what I think inclusive data visualization looks like.’” ← as a sheet on the science project
 +
* Who is this for?
 +
* Practitioners
 +
* What do we want them to do?
 +
* This is what we know; what do you know?
 +
 +
* Mission statement
 +
* Series of blog posts
 +
* Research agenda (wiki?)
 +
* Early ed. Curriculum
 +
** Baseline data/graph literacy
 +
** Exercises targeted to different cultures
 +
** Treat data visualization as a core standard
 +
* Post-secondary education
 +
** Interdisciplinary?
 +
* Different dataviz mediums and how they are used and understood by different groups
 +
** most efficient engagement tools for different groups
  
 
== Audience ==
 
== Audience ==

Revision as of 21:56, 15 January 2016

Outputs

Description of a minimum viable product, aspirational output, stretch goals, etc.

Notes

Culture (producers and consumers)

Possible Outputs

  • Cultural checklist or guide
  • Mentorship program (physical/virtual meetup space)
  • Human-centered design for dataviz
  • Manifesto
    • Active discussion tool/platform (wiki?)
    • Open source tools
    • “The Manifesto of the Missing People”
  • kids, African, Asian, etc.
  • here is the list of people who are not here
  • how do we start to include them?
  • Resources of/for people who have agreed to abide by it
  • “I’ve agreed to commit to this as part of my practice”
  • Tap into featured people who are already in the conversation
    • The Inclusive Data Visualization Project
  • Tell by showing—case studies; blog posts
  • Tools
  • Link dump/Resource page
  • Checklist
  • Access—low bandwidth, no English
  • Not seeing themselves in the data—gender, race
  • Seeing themselves in the eyes of others
  • “a sketchpad for people to say, ‘this is what I think inclusive data visualization looks like.’” ← as a sheet on the science project
  • Who is this for?
  • Practitioners
  • What do we want them to do?
  • This is what we know; what do you know?
  • Mission statement
  • Series of blog posts
  • Research agenda (wiki?)
  • Early ed. Curriculum
    • Baseline data/graph literacy
    • Exercises targeted to different cultures
    • Treat data visualization as a core standard
  • Post-secondary education
    • Interdisciplinary?
  • Different dataviz mediums and how they are used and understood by different groups
    • most efficient engagement tools for different groups

Audience

Personas, use cases, context

Next steps

Contributors

Resources (we <3 links!)