Indexing

Journal Discoverability

The International Journal of Human Post-Edited AI Qualitative Data Analysis (IJHPAQDA) is a peer-reviewed scholarly journal dedicated to advancing research on AI-assisted qualitative data analysis with a strong emphasis on human post-editing, interpretive oversight, and ethical research practices. The journal is committed to maximizing the visibility, accessibility, and long-term availability of the research it publishes through established indexing, archiving, and metadata dissemination services.

Abstracting and Indexing Databases

  • DOI (via Crossref)
  • Crossref
  • Google Scholar
  • OpenAIRE
  • Internet Archive

Additional indexing and abstracting services will be added as the journal continues to expand its reach and meet eligibility requirements.

Journal Archiving

All articles published in IJHPAQDA are preserved and made available through multiple archiving and preservation services to ensure long-term accessibility. Published content is indexed in Google Scholar and archived in the Internet Archive and Zenodo. Metadata and full texts are also available for harvesting via the OAI-PMH protocol.