In this final episode about big data research, we focus on the utility of pulling data sets out of the desk drawer and making them available for wider examination and manipulation. Ian also dives into the problems that can arise when research funders don’t take into account the specialized tools researchers sometimes develop to dig into their data and how the loss of those tools can result in heterogeneous methodologies that complicate interpreting huge data sets.