Data is the core of any research project, and it needs to be managed responsibly throughout the research lifecycle. To achieve this, you should plan a data management strategy before collecting data, as well as document it in a data management plan. Additionally, appropriate tools and techniques should be used for data collection, such as surveys, interviews, experiments, or observations. Furthermore, it is important to store the data securely and back it up regularly using encryption, passwords, or cloud services. Rigorous and transparent analysis should be done using software, code, or statistics. Moreover, data should be shared openly and ethically using repositories, licenses, or metadata. Finally, data should be preserved for long-term access and reuse using formats, standards, or identifiers. Responsible data management will help you to ensure the quality, integrity, and accessibility of your data and results. It will also help you to comply with the ethical and legal requirements of your discipline, institution, and funder.