In order to codify and evaluate data samples, a number of processes and procedures are implemented to consolidate qualitative data into some form of explanation, understanding or interpretation. This involves things such as text mining, textual analysis, and data visualization. It can also mean various levels of data storage once things have been collected and analyzed.
Text Analysis guide
Comprehensive guide to information about cleaning/parsing text. Includes items about text mining, coding and data visualization
NaCTeM (National Centre for Text Mining, UK)
Free website and text-mining center with info, resources and collaborative engagement projects for qualitative researchers
Free analysis software & tools:
Epi Info - sponsored by Center for Disease Control, this suite of lightweight software tools offers text mining and textual analysis programs as well as education guides for how to use them
GNU PSPP - free program for statistical analysis of qualitative data (similar to SPSS)
Microsoft Excel - spreadsheet analysis; available with TTUHSC eRaider credentials
NodeXL - open-source template for Microsoft® Excel® 2007, 2010, 2013 and 2016 for exploring graphic & visualization data representation; basic version is free.
R - a freely available coding language and environment for statistical computing and graphics; it provides a wide variety of statistical and graphical techniques, nonlinear modelling, statistical tests, time series analysis, classification, clustering, etc.
Rayyan - free tool for data analysis use in systematic reviews
SPSS* - statistical and predictive analytics software; *open to users of the library's methodology lab
Synapse - platform for open collaborative analysis of clinical and genomics data
Other Valuable Qualitative Data Analysis Tools:
Nvivo - textual analysis tool with multi-format capabilities
Atlas.ti - software package exclusively focused on qualitative research
MaxQDA - analysis tool for qualitative and mixed-methods research
