Software Support for QDPX

Software Support for QDPX

The Importance of Software Compatibility

For a data format like QDPX to gain traction and become widely adopted, it's crucial that it's supported by the software tools that researchers use. Fortunately, a growing number of qualitative data analysis (QDA) software products are incorporating QDPX import and export capabilities.

Software That Supports QDPX

We are currently aware of full or partial support om the following QDA software packages:

  • ATLAS.ti: As a founding member of the Rotterdam Exchange Format Initiative (REFI), ATLAS.ti has been a pioneer in supporting the QDPX format and one of its earliest full adopters. The software allows for both import and export of QDPX files, making it easier for researchers to share and archive their qualitative data. Source: ATLAS.ti
    NVivo: This software can import projects from ATLAS.ti and also supports exporting in the REFI-QDA Standard format (.qdpx). This feature allows for easy migration of projects to ATLAS.ti and certain other QDA software. Source: JHU Library Guide
    Quirkos: Quirkos supports the REFI-QDA Project exchange standard for qualitative data. It allows users to import and export projects in the .qdpx format, although it only supports text data. Source: Quirkos
    MAXQDA: This software also supports the import and export of projects in the .qdpx format. It provides an easy-to-use interface for saving and opening QDPX files. Source: Quirkos
  • dedoose: This Web-only software also supports the import and export of projects in the .qdpx format. It provides an easy-to-use interface for saving and opening QDPX files.
  • portableQDA: This is a Python package that facilitates round-trip information exchange using the REFI-QDA standard, including QDPX projects. It's suitable for structured archiving of any kind of files and is supported by a growing number of participants. Source: PyPI

As of this writing, there are no non-QDA software packages that currently support import of .qdpx bundles or even its raw xml data. This makes the services of third-party services like hypertexxt, appliQ, and bility.com all the more useful and necessary.

The Expanding Ecosystem

As more software products add support for QDPX over time, the format is likely to become even more useful for researchers. This growing ecosystem is also enhanced by third-party services like hypertexxt, appliQ, and bility.com, which offer specialized services for transforming QDPX data into more commonly used formats.

By incorporating these software and services, the QDPX format becomes an even more versatile and powerful tool for qualitative research. But its general useful is even more fdrastically enhanced when transformed into more mainstream formats like .csv, .sql, json or other .xml 'dialects.' Doing so makes QDA research results accessible to and fully usable in the larger quantitative data world, the world of databases, structured data, and therefore in BI (Business Intelligence) and full-fledged data analytics.

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