In the arts and humanities, digital data production is still expensive, challenging and time-consuming. We all know this, and yet the results of these processes often in the end can’t be reused by other researchers, meaning that we reinvent (or redigitise) the wheel far too often. This resource is aimed at giving practical advice for arts and humanities scholars who are willing to take their first steps in research data management but don't know where to begin. Our approach to data management views it as a reflective process that exposes and tweaks existing behaviours, rather than one that introduces specific tools. It is intended to encourage awareness of one’s own processes and mindfulness about how they could be more open and how and how small changes across three points in your research workflow can make big differences.