Digital Oral History Method — Digital Oral History Research

Both use in-depth interviewing, but digital oral history is distinguished by its explicit commitment to archival preservation and public accessibility of the recordings themselves as primary sources. A standard qualitative interview generates data for a specific study; an oral history interview produces a citable artifact intended to outlast the original research project and serve future users. The digital dimension adds infrastructure requirements — metadata, file format standards, repository deposit — that qualitative interview studies do not typically address.

The main additional ethical layer concerns the extended life of digital recordings. Consent must be obtained not just for the interview but for each planned use: transcription, online streaming, download, re-use by third parties, and indefinite archival retention. Narrators should understand that digital materials can be difficult to fully withdraw once disseminated. Pseudonymity is harder to guarantee when voice and face are recorded. Researchers should use layered consent forms that allow narrators to specify different access levels for different parts of their testimony.

There is no fixed minimum, and oral history projects vary from single life-history studies to collections of hundreds of interviews. The criterion is purposive completeness — have the voices most relevant to the research question been included? — rather than statistical adequacy. For thematic analysis aimed at understanding a shared experience, 10–30 narrators typically provides sufficient range; for community documentation projects the scope is determined by the community's size and diversity.

Yes. Video platforms such as Zoom or Microsoft Teams, combined with local recording software, can produce adequate quality recordings when in-person interviews are not feasible. Key considerations are: ensure the platform and local recording settings produce a high-quality audio track; obtain informed consent for cloud-based recording if the platform stores recordings on its servers; and test connectivity and lighting before the interview to minimize disruptions.

The most widely adopted standards in oral history are Dublin Core (for general interoperability) and the Oral History Metadata Synchronizer (OHMS) schema developed at the University of Kentucky, which supports time-coded indexing aligned directly with the audio or video. For institutional repositories, consult your repository administrator about which schemas they support. Consistent, complete metadata is more important than the choice of any specific standard.