https://github.com/artpi/Qualify

Performing Qualitative data analysis on text saved in Evernote
https://github.com/artpi/Qualify

Last synced: 17 days ago
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Performing Qualitative data analysis on text saved in Evernote

• Host: GitHub
• URL: https://github.com/artpi/Qualify
• Owner: artpi
• Created: 2015-02-23T09:33:03.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2015-02-23T10:27:43.000Z (over 9 years ago)
• Last Synced: 2024-10-15T15:42:19.855Z (28 days ago)
• Language: JavaScript
• Size: 523 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 6
• Metadata Files:
  • Readme: README.md

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README

        
# Qualify

Qualify is a tool for *Qualitative Data Analysis* using *Grounded Theory* principles. Whole system is based on *Evernote*.

Please dont judge my code, I focused on research paper and code needs some polishing.

You can use this tool here: http://qualify.artpi.net

#Research Paper

I have written a research paper highlighting the usage of Qualify. [You can read the whole paper here](paper.pdf) - warning - it is in Polish

Below is an abstract: 

##Qualify – a Tool for Content Analysis of Evernote Data

###Summary. 

Author has created a tool called Qualify.artpi.net extending Evernote platform with text markup and qualitative data coding capability in accordance with grounded theory rules and methodology. He presents Qualify and Evernote as an alternative to commercial CAQDA Software, such as NVivo and provides step by step walkthrough of the data coding process. Qualify possesses some unique features such as preservation of source text formatting, text recognition from images and photos, automatic color-coding as well as instant data sharing and collaboration in real time.

###Keywords: 

- Evernote

- CAQDA

- NVivo

- Methodology of Grounded Theory

- OpenCode