Before starting a new project, planning the management of research data is an important step to formalize this process, anticipate the different measures to put in place at any stage of the data life cycle, estimate the related costs, and identify the possible weaknesses in the plan.
Funding bodies (such as the Swiss National Science Foundation or the European Commission with the Horizon 2020 program) are more and more requesting researchers to provide a Data Management Plan along with their grant applications and to apply good practices in research data management during the whole funded project.
Good research data management is not only part of responsible research, but ensure various benefits for researchers and institutions.
It could be a complex issue, but done early enough it helps in saving time and avoiding problems during the course of the research project. Moreover, tools like data management plan templates and checklists help in streamlining this task and provide a formal framework to organize the work.