Preserving Qualitative Data: A Data Model to Prepare Computer Assisted Qualitative Data Analysis Software Data for Long-term Preservation
Abstract
A rapid change in technology has a great impact on the long-term access to digital content. This makes preservation of a digital content a challenging task due to the content’s inherent dependency on a specific hardware/software platform. Changes in the technology without backward compatibility can lead to a content that can’t be viewed and qualitative data is no exception. Normalization is a commonly used strategy to keep content prepared for long-term preservation. However, tools are not always available to perform normalization on complex file formats such as qualitative data analysis software files. In this work, we are proposing a data model to normalize computer assisted qualitative data analysis software files to support long term access.Details
- Creators
- Umar Qasim; Kendall Roark
- Institutions
- Date
- 2015-09-01 00:00:00 +0000
- Keywords
- digital preservation; digital curation; chapel hill
- Publication Type
- paper
- License
- CC BY 4.0 International
- Download
- 244859 bytes