The Qualitative Data Analysis Program (QDAP):
Accurate and reliable coding (or labeling) using humans and machines is
central to both the qualitative research and the
#bigdata text analytics process. For new and experienced
researchers, learning advanced project management skills adds hours of
struggle. Since 2005, Qualitative Data Analysis Program (QDAP) coders and project
managers have delivered large-scale, high value-added, reliable and accurate
annotated text data in a timely and expert manner. The QDAP approach to
qualitative research grows out of more than a decade of working on projects funded by
the National Science Foundation, the National Institutes of Health,
DARPA, the Smithsonian and others. Our combination of software, methods,
experience, and novel forms of text analytics measurement present a uniquely
scientific research support offering with
applications across the
Award-Winning, Free, Web-based, Open Source Software:
Toolkit (CAT), winner of the 2008 "Best
Research Software" award from the
Information Technology & Politics
section of the
American Political Science Association,
is now available as open source software.
Quick Start Guide or the latest
An @Scoop.it! site curated by QDAP Director Stu Shulman.
In the News:
"Chasing the Social Media Data Trail,"
"The Trouble with Measuring Tweets per Minute," &
"Company Finds Useful Needles in Haystacks".
Rigor and Flexibility in Research:
An overview of the QDAP/CAT approach.
Archive, filter, search, human
code and machine classify
the social web