Removing Barriers to Reproducible Research - Poster

Poster presented by Esther Plomp on 16 September at the BABAO 2022 conference. Reproducible research (when data can be reanalysed taking the same steps and producing the same or similar result) is an important step in ensuring research quality. There are currently many barriers to moving towards reproducible research such as upskilling researchers in the practices, software and infrastructure needed to do reproducible research and also the need to address how we can, as a discipline, deal with issues like sensitive data. In this work, we seek to introduce reproducible research in an understandable manner so that researchers can learn where and how to start with this approach. We describe what reproducible bioarchaeological research can look like and suggest three different computational skill levels of constructing reproducible research workflows (a research workflow is the different parts of a research lifecycle such as data collection, data analysis, data archiving, etc, and making all stages reproducible by using a history tracking system (version control) and transparent documentation)