Qualitative Data Analysis Software Open Source

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Quirkos Cloud lets you save your data in our secure cloud servers, so you can access your data anywhere. Share projects and work together with live collaboration, with the same simple interface and powerful features. Where-ever your team are in the world, on Windows, Mac or Linux, they can work together and communicate with the live chat feature. QDA Miner will run on a Mac OS using virtual machine solution or Boot Camp, and on Linux computers using CrossOver or Wine. It has a lite version that is free. This is not one of the major CAQDAS programs, but you're looking for free, which it is.

  1. Qualitative Data Analysis Software Open Source Version
  2. Qualitative Data Analysis Software Open Source Code

RDQA is a R package for Qualitative Data Analysis, a free (free as freedom) qualitative analysis software application (BSD license). It works on Windows, Linux/FreeBSD and Mac OSX platforms. RQDA is an easy to use tool to assist in the analysis of textual data. At the moment it only supports plain text formatted data. All the information is stored in a SQLite database via the R package of RSQLite. The GUI is based on RGtk2, via the aid of gWidgetsRGtk2. It includes a number of standard Computer-Aided Qualitative Data Analysis features. In addition it seamlessly integrates with R, which means that a) statistical analysis on the coding is possible, and b) functions for data manipulation and analysis can be easily extended by writing R functions. To some extent, RQDA and R make an integrated platform for both quantitative and qualitative data analysis.

Through the GUI, RQDA can:

  • Import documents from plain text or on-the-fly
  • Import PDF highlights which is useful for content management of literature (reliant on rjpod)
  • Support non-English documents. Simplified Chinese Character is well-tested under Windows as well as Debian Linux (with locale of zh_CN.UTF-8)
  • Character-level coding using codes
  • File Editing after coding
  • Memos of documents, codes, coding, project, files and more
  • Retrieval of coding, and easily return to the original file (to ease the problem of segmentation). Conditional retrieval is supported as well.
  • Single-file (*.rqda) format, which is basically a SQLite database. Data are stored in UTF-8, so it should be portable
  • Organize codes into code categories, which is key to theory building. I deliberately avoid using tree-like categorization
  • Organize files into file categories
  • Search files by keywords with highlighting of the keyword in the open file.
  • Apply attributes to file, which is useful for content analysis
  • There is a case category and related attributes of cases, which is a crucial feature in bridging qualitative and quantitative research.
  • Search information about a selected case on the Internet via a pop-up menu
  • Temporary delete files and codes
  • Rename files, codes, code categories, and cases
  • Write and organize field work journals
    • And more ...

    Through R functions, it can:

  • Manipulate the temporary deletions (list, undo temporary deletion, or permanently erase them)
  • Import a batch of files
  • Calculate the relation between two codings, given the coding indexes
  • Give a summary of coding and inter-code relationships
  • Export file/case attributes and show subsets of files/cases only in respective widget through the ShowSubset function
  • Perform more flexible ways of conditional retrieval
    • Perform Boolean operations and, or, and notSoftware for codings, files or cases coded by codes (since rev 280).

    You can use help(package='RQDA') to see more functions of the RQDA package.

  • Step one, Install GTK+ (because RGtk2 depends on GTK+, you need to install it before install RGtk2). For windows user, download GTK+ and install it. For Debian-based Linux users, you may use sudo apt-get install libgtk2.0-dev to install GTK+ developer library. In Fedora use yum install -y gtk2-devel to install. For other Linux users, you may have to manually install GTK+, download the source tarball, and follow the instructions of installation. You can refer to this page for installation of RGtk2.
  • Step two, Install R. Go to CRAN, download R and install it. For Linux and BSD users, you can download binary version of R or the source code. For Windows users, you can download the binary version of R from the download page. More instructions about installing R are in the R Installation and Administration Manual.
  • Step three, Launch R for further installation. It can be launched as a normal application in Windows, or by command R within a shell terminal in Linux and FreeBSD. Then, you can see the prompt “>”,which indicates that R is ready for further commands.
  • Step four, Install relevant R packages by command: install.packages('RQDA',dependencies=c('Depends', 'Imports')) . If you want to use the developer version of RQDA, you can use this command after you have installed RQDA by using the command: install.packages('RQDA',repos='http://R-Forge.R-project.org', type='source').
    • Step five, Launch RQDA using command library(RQDA) from within R. Then you can see the RQDA GUI. For Debian Linux users, there is a apt repositories, you can follow the guidelines there.>

    For non-R-users who use Windows, you can download a rar file from Baidu Yun Pan, extract it to, say, c:. Then you can launch the RQDA by double clicking the RQDA.bat file. This instruction has been tested on OS X EI Capitan (2016/06/23).

  • Install X11: go to https://www.xquartz.org/, download and install XQuartz-2.7.7.
  • Install GTK+: go to http://r.research.att.com, download and install the binary package of GTK+ 2.24.17.
  • Install R: download the binary version of R from the download page and install it.
  • Install RQDA: launch R and install RQDA from within R by this command install.packages('RQDA')
    • If all steps are successful, then laugh RQDA by this R command: library(RQDA)

    Old instruction for Yosemite users.

  • User Manual, Tips, FAQ (version 0.2-1 onwards)
  • User Manual, Tips, FAQ (version 0.2-0 and previous)
  • Introduction to CAQDA (26 Jan 2010) (PDF).
  • How to import PDF highlights into RQDA(PDF)
  • 定性分析软件RQDA简明使用手册(PDF in Chinese).
    User contributed documentation
  • Video tutorial on youtube in French and English, both of which are kindly provided by Metin Caliskan.
  • RQDA Skill Building by Lindsey Varner Link
  • Qualitative Data Analysis with RQDA by PSU
  • 'Using RQDAtm and tm to do text-mining', Download the file (PDF) and first example and 2nd example project.(July 2010)
  • Publications using and/or citing RQDA package.
  • 2014. Workshop by Andrea Salvini: Introduction to Qualitative Data Analysis with RQDA. 5th Conference of Eropean Society of Studies in Symbolic Interaction. Denmark: Aalborg University. August 17th-19th.
  • Kelle, U. (ed.).1995.'Computer-aided qualitative data analysis: theory, methods and practice.' Sage Publications.
  • Lewins, A. & Silver, C.2007. Using Software in Qualitative Research : A Step-by-Step Guide. Sage Publications.
    • Kuckartz, Udo. 2014. Qualitative Text Analysis. Sage Publications.

    I have put a lot of effort in this project. I appreciate if you can cite this software in your research. You can use citation('RQDA') to get this citation.

    HUANG Ronggui (2016). RQDA: R-based Qualitative Data Analysis. R package version 0.2-8. http://rqda.r-forge.r-project.org/

    RQDA 0.2-8 is released on CRAN (2016-12-12). The most important changes include profile matrix (Kuckartz, 2014) and Portuguese translation, among others. Unfortunately, this release is not compatible with RSQLite 1.1.0, which means that you need to downgrade RSQLite to 1.0.0 to make RQDA works properly. This problem will be fixed in development version on GitHub.

    RQDA 0.2-5 is released on CRAN (2014-03-26). This update is in compliance with CRAN policies, but has no significant new features. JRE is required to used rjpod enhancement.

    RQDA 0.2-3 is released with several new features (2012-12-12).

    rmmseg4j 0.1-0 is released to CRAN (2012-06-18)

    RQDA 0.2-2 is now on CRAN (2011-12-27)

    Two new packages (rsmartcn, rmmseg4j) have been added, which segment Simplified Chinese into words seperated by space.

    RQDA 0.2-1 is now on CRAN (2011-09-10)

    Qualitative Data Analysis Software Open Source Version

    RQDA 0.2-0 is now on CRAN (2010-10-20)

    RQDAtm 0.1-0 works now. It bridges RQDA and tm (rev 313) (2010-04-26).

    RQDA 0.1-9 is now on CRAN (2010-02-28). There is a bug, and the solution is here.

    RQDA 0.1-8 is now on CRAN (2009-09-20)

    RQDA 0.1-7 is now on CRAN (2009-04-28)

    RQDA 0.1-6 is now on CRAN (2008-12-30)

    RQDA has been actively developed. You can click here to see the new features. There are few known-bugs, click KnownBugs for details.

  • The project summary page you can find here.
    • Qualitative Data Analysis Software Open SourceHomepage of the author.

    Main windows under Vista and under Debian Linux
    Reading File
    File Memo
    File Categories window under Vista and Debian Linux
    Codes list window under Vista and under Debian Linux
    Code Categories window under Vista and Debian Linux
    Coding
    Retrieval
    Cases window under XP and under Debian Linux
    Attributes window under Debian Linux
    Journals window under Debian Linux
    Settings window under XPand under Debian Linux

    A spin on the phrase 'tag it!', Taguette is a free and open-source qualitative research tool (which works on all operating systems!) that allows users to:

    • Import PDFs, Word Docs (.docx), Text files (.txt), HTML, EPUB, MOBI, Open Documents (.odt), and Rich Text Files (.rtf).
    • Highlight words, sentences, or paragraphs and tag them with the codes you create.
    • Work collaboratively with other users (if self-hosting or using app.taguette.org).
    • Your data stays your own; export everything including your project, highlights, documents, and codes.

    ...and much more! You can view our development queue on GitLab here: https://gitlab.com/remram44/taguette/-/issues. You can always add feature requests, bug reports, or general feedback via GitLab issues. If you are not sure how to do that, feel free to email us your feedback at [email protected].

    If you use Taguette for your research, please cite it with the following:

    Rémi Rampin, Vicky Rampin, & Sarah DeMott. (2021, July 17). Taguette (Version 1.0.0). Zenodo. https://doi.org/10.5281/zenodo.5111814

    Why did we make Taguette?

    Qualitative methods generate rich, detailed research materials that leave individuals’ perspectives intact as well as provide multiple contexts for understanding the phenomenon under study. Qualitative methods are used in a wide range of fields, such as anthropology, education, nursing, psychology, sociology, and marketing. Qualitative data has a similarly wide range: observations, interviews, documents, audiovisual materials, and more.

    However - the software options for qualitative researchers are either far too expensive, don't allow for the seminal method of highlighting and tagging materials, or actually perform quantitative analysis, just on text.

    It's not right or fair that qualitative researchers without massive research funds cannot afford the basic software to do their research.

    Data

    So, to bolster a fair and equitable entry into qualitative methods, we've made Taguette!

    The Team

    Taguette was developed by Rémi Rampin. Vicky Rampin and Sarah DeMott provided the functional requirements, user needs, and testing in order to influence the development process.

    Qualitative Data Analysis Software Open Source Code


    Rémi Rampin
    Main Dev
    Vicky Rampin
    Product Manager
    Sarah DeMott
    Trainer & User Liaison