Qualitative Research

• ABBYY
  • On-site access: log into a campus computer lab station 
  • Remote access link
     
• Atlas.ti: Remote access link (how to get files in/out of the remote desktop session)
   
• NVIVO
  NVIVO access expired on June 23, 2021. Users who have installed NVIVO on their computers will no longer be able to access it without purchasing an individual license beginning on June 24, 2021.
  General NVIVO resources
  • Sage Explorer video list on tips/tricks for working with NVIVO (ND sign-in required)
  • NVIVO YouTube channel: Getting Started playlist
  • Tips for collaborating with NVIVO with the cloud // without the cloud
     
• If you encounter issues accessing these titles, please contact oit.nd.edu. 

The LDbase data repository has published a very useful data de-identification resource. Although the repository was developed to meet the data sharing needs of psychologists and educational researchers, the LDbase data de-identification best practices information is broadly applicable, and covers the following considerations:

• Ensuring certain variables (e.g., name, date of birth, etc.) are not present in your data as you prepare to share it
• Ensuring certain data types (e.g., photos, audio files of subject voices, DNA, brain images, etc.) are not included in your data as you prepare to share it
• Calculating the ratio of sample size to population size for your dataset to identify potential re-identification concerns 
• Verifying what your informed consent document outlines regarding the possibility of re-identification 
• Checking combinations of variables that might create small numbers that may create a re-identification issue when combined
• Ways to fix potential identification problems (*using R, SAS, SPSS)

*For campus assistance with R, SAS, or SPSS, please contact the Center for Social Science Research or the Navari Family Center for Digital Scholarship. If you're not sure where to start, please email cds@nd.edu, and we'll be happy to ensure you get connected to the right place!  

Last updated 2024-12-16
 

Manual Transcription

There is a reservable transcription pedal that can be borrowed to use with a laptop so a foot can be used to pause or slow down or rewind while hands remain free to type (free software would need to be installed on the laptop); or, it is possible to use the computer in the NFCDS computer cluster that has the pedal and software already there (it's the computer in the upper-right corner of this lab map--if it's green it is available!).
 

Automated Transcription

• Both Google Docs and Microsoft Word have a transcribe function: https://support.microsoft.com/en-us/office/transcribe-your-recordings-7fc2efec-245e-45f0-b053-2a97531ecf57.
   

• Audacity (Windows OS only) is a free and open source tool with a new plugin for audio transcription: https://www.audacityteam.org/blog/openvino-ai-effects/.
   

• AI tools with free tiers that the OIT has approved for use at ND include the following:

  • Notta: https://www.notta.ai/en/pricing

  • Otter: https://otter.ai/pricing
     

• noScribe is a free and open source AI-based offline transcription tool that runs locally on your computer, so no data is uploaded to the cloud. It can distinguish different speakers and understands 99 languages and is available on both MacOS and Windows operating systems. (The application's GNU v.3 open source license is approved for campus use.)
   

• If you have grant funding, the Center for Research Computing can provide access to a resource for secure/compliant transcription.
   

*If you have not submitted the IRB application yet, you'll find there is a section where you would describe the way you will handle your human subject data throughout the project (collecting it, cleaning/transforming it, analyzing it, storing it, etc.), regardless of whether any tools used along the way are AI-related or not. 

If you have already received approval for your study and did not indicate that you'd use a transcription tool of some kind on the data you captured, you may need to submit an amendment to update the data section of your protocol to include review of this change. Submitting a change request for review by the IRB is perfectly fine to do (and you must follow the amendment process to do so, you cannot simply make a change without approval!)--sometimes you get along in a research project and realize you need to shift an approach or tool or recruitment method, etc. So the IRB has a process for amending protocols (it is a briefer process than the initial review). 

Please contact irb@nd.edu with any questions.

Information about human subjects research at Notre Dame can be found at https://research.nd.edu/our-services/compliance/human-research/.