https://github.com/annakrystalli/laypersons_guide_to_the_open_tech_galaxy

https://github.com/annakrystalli/laypersons_guide_to_the_open_tech_galaxy

Science Score: 26.0%

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    Low similarity (9.3%) to scientific vocabulary
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Created over 8 years ago · Last pushed over 8 years ago
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README.md

Laypersons guide to the open tech galaxy

A jargon busting concept map of open tech terms

Collaboratively built, crowdsoured linked database and webapp of open tech concepts



Users should be able to:

  • Get short descriptions in simple language of important concepts which they get to upvote for demystification value
  • propose terms to be demistified
  • See how they relate to other concepts through their links

key elements

  1. short layperson description of a term (scored by users according to demystication value)
  2. Urban dictionary for technological terms.
  3. the network of term relationships.

CORE DEV OUTPUTS:

  • data model and database
  • aim for a linked datase framework
  • an api
  • an interactive webapp for
    • data visualisation and navigation
    • submiting descriptions
    • upvoting descriptions

Dev contributors:

All sorts of skills from programmers to term demystifying!
  • dataa engineering - wed developing - api developing - design, data science - data visualisation - user experience - etc etc


PLUS: anyone can be a term query contributor or demystifier:

Crowsourcing descriptions is a key. If the final interactive webapp is to provide any extra insight into the network of terms for the user. With the descriptions however, the visual network becomes really powerful, and even before any data visualation, a simple interface to the term descriptions database would make a good prototype for the webapp.

To supplement or instead of crowsourcing relationship links between the term, we could also try scraping link information. If it were systematic enough, we might be able to track it through time.


HOW?

Build it step by step

Put the challenge to local hack groups as a series of fun hack sessions with particular focus on TUoS student groups. But the sessions will be open to anyone.

Provide a more flexible framework to work.

  • Tackle one challenge at a time.
  • allow teams to collaborate and encourage building on merging solutions.
  • Different groups might be interested in different parts of the build challenges so approach so try to facilitate.
  • Maybe even try an agile approach?

great potential for downsream data science projects

Owner

  • Name: Anna Krystalli
  • Login: annakrystalli
  • Kind: user
  • Location: Syros, Greece
  • Company: @r-rse

Research Software Engineering Service in #rstats at @r-rse. Ex @RSE-Sheffield. Editor @ropensci. Core team member @reprohack. Available for hire! 🚀😎

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