The first articles published in the QuiViRR 2020 pilot volume

The first articles have been published in the QuiViRR 2020 pilot volume.The aim of the pilot volume is twofold: first, it aims to showcase some of the alternative article formats that QuiViRR supports; second, it gives a head start to the journal rather than a long wait before the first submitted, reviewed and accepted articles are published in 2021.

The pilot consists of three articles, authored or co-authored by the editors of the journal. They have not been peer-reviewed.

1. McIlvenny, Paul. 2020. 'New Technology and Tools to Enhance Collaborative Video Analysis in Live ‘Data Sessions’'. QuiViRR: Qualitative Video Research Reports 1 (December), a0001. DOI: 10.5278/ojs.quivirr.v1.2020.a0001.

This is an experimental full-length article that has an open-ended history.

• It has been written on GitHub using open source Manubot and Pandoc Scholar.
• The PDF was published as a preprint on SocArXiv.
• The PDF and rich HTML were published here in QuiViRR.
• Post-publication peer review is possible on the HTML version using the annotation tool hypothes.is.
• Post-publication peer comments are possible on GitHub using issues and pull requests.
• It will be updated openly on GitHub with full version control, and new versions will be released on GitHub and in QuiViRR.

2. Kovács, Artúr Barnábas & McIlvenny, Paul. 2020. 'BreachingVR: A Simple VR Software Demo to Reconstruct Harold Garfinkel’s Inverting Lenses Tutorial Exercise'. QuiViRR: Qualitative Video Research Reports 1 (December), a0002. DOI: 10.5278/ojs.quivirr.v1.2020.a0002.

This is a software article that introduces a simple practical VR demonstration based on Harold Garfinkel’s Inverting Lenses Tutorial Exercise as described in Garfinkel (2002). The software is archived on Zenodo and the open repository is on GitHub.

3. Davidsen, Jacob, Thomsen, Mathias & McIlvenny, Paul. 2020. 'Lego Project Data: An Open Data Archive for Qualitative Video Research'. QuiViRR: Qualitative Video Research Reports 1 (December), a0003. DOI: 10.5278/ojs.quivirr.v1.2020.a0003.

This data article documents how and why video and audio data were collected for an open audiovisual data archive. The data is archived on Zenodo.