This seminar aims to provide a quick introduction on Research Data Management (RDM), while detailing how scientists can begin to implement RDM practices in their work by writing Data Management Plans (DMP). DMPs should align with relevant policies applicable to the project. These can be, institutional, research funders and publishers - data policies. At the beginning, relevant aspects on RDM are presented to explain how to produce self-describing and reusable data sets. It then explains what a DMP is, why to write it and how to write it. The last and longer part of the symposium develops in interactive section to give the participants the opportunity to think about relevant aspects for handling data by identifying correct statements to formulate a DMP. The slides provide relevant links for further consultation, including the practical guide to the international Alignment of RDM published by Science Europe (2021). This document guide researchers and reviewers through six core requirements of DMPs. Learning Goals: 1. How to produce self-describing and reusable data sets 2. How to start with RDM-practices by writing a data management plan. 3. What is a DMP, why to write it and how to write it. Prerequisites: none License: CC-By Attribution 4.0 International