Take Roadmap from work week in Seattle w/ @zee-moz and enter into GH repo

See also etherpad: https://public.etherpad-mozilla.org/p/OpenDataRoadmap

• Add primers
• Add specific dates / deadlines
• Add testing plans

The current list of topics and delivery methods is here: https://github.com/mozillascience/open-data-training/blob/master/planning/topics.md

Would love thoughts regarding topics we haven't considered, particularly level 3 and thoughts for what should be included in disciplinary items in Level 2.

Also interested in ideas for other delivery methods separate from modules & primers. Ideas for videos perhaps? online courses?

Comment from Dhafer Laouini at the 2016 global sprint:

Would be perhaps good to add a comparative and illustrative schema to highlight the benefits and advantages of open data in comparison to private date

• How to Open Your Data
  • Write up outline of topics
  • Write up primer
  • Put on GitHub
  • Create first issues

Collaborator: @zee-moz

• 1. Why Open Data?
  • Primer ready for Sprint: https://github.com/mozillascience/open-data-training/blob/master/Materials/Primers/P1_WhyOpenData.md
  • Review recommendations
  • Module written up
  • Posted on GitHub
• 2. How To Open Your Data
  • Primer ready for Sprint: https://github.com/mozillascience/open-data-training/blob/master/Materials/Primers/P2_HowToOpenYourData.md
  • Review recommendations
  • Module written up
  • Posted on GitHub
• 3. Sharing
  • Primer ready for Sprint:
  • Review recommendations
  • Module written up
  • Posted on GitHub
    Collaborator: @zee-moz

This topic surfaced during the global sprint:

Fatma commented: (Pasteur_Tunis) Could it be possible to add a new issue about reviewing the data critically before using it ? such as "Should I believe this data blindly?..." several stories report big scientists names creating the data from scratch without experimental evidence. Have a look at the 'Office of Research Integrity' as an example https://ori.hhs.gov

Steph answered:
Absolutely think this is critical to ask. I think it may fit better in what we have in mind for module 5 (Making Friends with Other People's Data) which will be abt what you need to consider before using others data.

• 4. Become a Data Hunter (1.5 hour session)
• 5. Making Friends with Other People's Data (1 hour session)
  6. Open Facilitation, Teaching, + Community Building (2 hour session)
  7. Tools and workflow for working Open (1.5 hrs)

Excellent IRL examples and unpacking of the open data rationale. I wonder if this

But data is also collected by governments, who may be interested in the number and location of potholes on a city street, or the geospatial pattern of new cases in an outbreak of the flu. Corporations and businesses collect data, too.

opens a discussion about the boundaries of what should be shared openly, subjects' privacy choices, and how researchers can avoid sharing seemingly innocuous data that reveals too much about individuals.

In a comment on Primer 1,
Dhafer Laouini said:
What if a private company uses publicly shared data, ameliorates them then makes profit out of it ?! needs to be taken into account !

where can we put this content? what is a good response?

Module 1
Based off Primer 1

Are there concepts in the Primer that aren't addressed in the Module?
Do you have interactive exercises to suggest to drive home concepts?
Are there resources and / or real-life example stories we should include in this module?

Feel free to address these directly in the Google doc linked above.

@zee-moz I think you mentioned before the Club online modules.
Pasting link here for future reference: http://mozilla.teachable.com/courses/mozilla-club-training
For modules:

• in person delivery by Mozilla trained community trainers
• online delivery through mozilla.teachable through gh-pages

For primers:

• online delivery through modified version of mozilla.teachable gitbook.

Primer 1

Looking specifically for feedback on:

• anything terms or concepts that aren't clear
• typos
• how the primer flows from beginning to end
• is there something missing from the primer you think should be added?
• suggestions for additional resources at the end
• suggestions for readings and / or real-life examples to be used in the primer to drive home concepts

Robin contributed a bunch of feedback to the factsheets - not sure where those wound up - and should be credited as an author or acknowledged. I can check in with her about it. @stephwright will those be part of this?

• Why Open Data
  • Write up outline of topics
  • Write up module
  • Put on GitHub
  • Create first issues

Collaborator: @zee-moz

Per CONTRIBUTION guidelines

John Kratz commented: I think it would make more sense to merge geospatial and temporal coverage into one item and break off access/licensing/reuse.

Amel Ghouila: I perfectly agree

Stephanie Wright:I'm wondering what that will do to the flow of the original six questions we asked (WHY, WHAT, WHO, WHERE, WHEN & HOW). We can combine WHEN & WHERE into one section w/o too much trouble. If we break out access/licensing/reuse, we are breaking the questions out across two sections and w/i in one section at the same time. (Geospatial in one section and location of access in another while both address WHERE; combining access/licensing/reuse into one section gives us a section containing WHERE & HOW(?))

John Kratz: Okay, I can see the logic of the current arrangement, but I still think combining the two senses of WHERE is confusing. If we were talking about physical specimens collected here and stored there, that would make sense, but the WHERE of the dataset will almost always be a URL (or something that resolves to a URL), and of course we don't care about the physical location.

What if we pulled access/license stuff from this primer and put it in primer 3? The only reason we're talking about it here is that it should go in the DATA_README, but you have to go through the next primer to have that information anyway. Maybe just put a note at the end of the six questions that there's one more thing to add, but we're not ready for that yet and we'll get to it in the next primer?

TLDR version: I think we should divide the discussion of metadata into descriptive metadata and administrative metadata, and cover descriptive here and administrative in primer 3.

Per MSL Guidelines

• How to Open Your Data
  • Write up outline of topics
  • Write up primer
  • Put on GitHub
  • Create first issues

Collaborator: @zee-moz

As part of our department's Training day in January '17 I have been asked to give a workshop on Data Sharing. I'm going to start working on some extra stuff for this soon as well drawing up an open data plan with other members on the unit. I thought this might be a nice use case to have up on the repo so shall I put up a planning document / folder up here?

Module 2
Based off Primer 2

This module has not progressed as far as module 1. Just some rough thoughts put in a doc. Feel free to hack on it.

Are there concepts in the Primer that aren't addressed in the Module?
Do you have interactive exercises to suggest to drive home concepts?
Are there resources and / or real-life example stories we should include in this module?

Feel free to address these directly in the Google doc linked above.

Primer 3

This primer is not in full draft yet. Looking for:

• suggestions for filling out the sections at the end on privacy / ethical considerations
• additional resources at the end
• clarification of terms / concepts
• is anything else missing?
• suggestions for readings and / or real-life examples to be used in the primer to drive home concepts

Module 3
Based off Primer 3

This module is BARELY started and the primer is still in rough draft. The primer will need to be addressed more fully before much work can be done on the module but feel free to give it a go.

Are there concepts in the Primer that aren't addressed in the Module?
Do you have interactive exercises to suggest to drive home concepts?
Are there resources and / or real-life example stories we should include in this module?

Feel free to address these directly in the Google doc linked above.

• Primer 1
• Primer 2
• Primer 3

@zee-moz what do you think are some good first issues for folks for the primers for the Global Sprint?

See: http://mozillascience.github.io/working-open-workshop/roadmapping/

And mozillascience/global-sprint-2016#14

Update per README guidelines

• Review primers for interactives
  • Primer 1: Why open data
  • Primer 2: How open data
  • Primer 3: Sharing data openly
• Determine which ones would work well as exercises in modules
• Determine if those not suitable for modules now could be modified to become exercises
• Write up exercises in Handout templates
• Link to and insert in modules where appropriate

See: http://mozillascience.github.io/working-open-workshop/personas_pathways/

And mozillascience/global-sprint-2016#14

Primer 2
Looking specifically for feedback on:

• anything terms or concepts that aren't clear
• typos
• how the primer flows from beginning to end
• is there something missing from the primer you think should be added?
• suggestions for additional resources at the end
• suggestions for readings and / or real-life examples to be used in the primer to drive home concepts