Autoethnographic assessment of a manifesto for more trustworthy, relevant, and just models

Ten simple rules for building and maintaining a responsible data science workflow

“…Finding a framework for prompting reflection that works for a team can be challenging. Eitzel [ 105 , 113 ] presents one such framework for autoethnographic assessment of best practices. Eitzel [ 105 , 113 ] provides an example of working through the process herself on her own modeling best practices that includes social science considerations as well as more traditional modeling practices.…”

“…Eitzel [ 105 , 113 ] presents one such framework for autoethnographic assessment of best practices. Eitzel [ 105 , 113 ] provides an example of working through the process herself on her own modeling best practices that includes social science considerations as well as more traditional modeling practices. This process helped Eitzel not only grapple with issues of technical reproducibility (by transparently providing errata to a previously published paper when a mistake was found in the analysis) but also helped improve her modeling practices by working to engage with community stakeholders.…”