Unfortunately, the page you requested does not exist or no longer exists.
Please visit the homepage instead:
Think QDPX is just for qualitative research? Think again. This XML-based format can be custom-converted for use in quantitative data worlds like BI and databases. Need help?
After decades of strictly proprietary formats that locked research results into specific software packages, the need for a universal exchange format led to REFI and the QDPX standard.
QDPX offers the potential for great versatility and for transcending the qualitatve real. It can be trasnformed into many formats for broader impact. Our experts can unlock its full potential.
In a global research landscape, QDPX serves as a bridge for seamless data exchange and collaboration, making data accessible for diverse teams and objectives.
Multiple QDA software like ATLAS.ti and NVivo support QDPX for easy data sharing. No non-QDA software currently supports it, making third-party services essential.
QDPX standardizes qualitative data, fostering openness and collaboration in academic research. It enhances data sharing, reproducibility, and broadens the scope of inquiry.
QDPX offers researchers flexibility by avoiding software lock-in and aiding product transitions. However, data migration outside the QDA world requires support. We can migrate your data for you.
Third-party services like Hypertexxt and appliQ convert QDPX data to common formats, enabling its use in broader data platforms and bridging the gap between qualitative and quantitative research.
QDPX's growing adoption makes it a foundation for better data analytics. Impactful new uses will emerge, elevating its role as bridge between qualitative and quantitative worlds.
Got questions about REFI QDPX? Our FAQ covers what's in a bundle, how to open files, its role in qualitative research, security, and more. Learn how QDPX can enhance your research and data archiving.
QDPX is a data format designed for use in qualitative research. But you can do much more with it, e.g., convert it to csv, Excel, sql and Tableau, thus bridging the gap between qualitative and quantitative research.
Need to use qualitative data in non-qualitative settings? Our service converts your projects to common formats like CSV, XLSX, or directly to Tableau.
