The course was prepared by information specialist and data management specialists from variety of faculties at the University of Oulu. The materials aim to advance data management and protection practices in thesis work and similar research and were developed as a result of Erasmus+ collaboration with data management specialist Ruhr University Bochum, Germany. We especially thank Jurgen Windeck whose materials served as an inspiration and were adapted to represent Finnish regulatory environment and infrastructure. Learning outcomes: Upon completion of the course, students/researchers will recognize the benefits of good research data management, and they will be able to make a data management plan (DMP) for their thesis/research project. Students/researchers will also recognize the importance of documenting, organizing and storing their research data properly, and they will be able to select suitable practices for their data. In addition, students/researchers will be able to identify the legal requirements of processing personal data and implement this knowledge in practice. Finally, students/researchers will be able to identify what requirements responsible science sets for data management and, if applicable, prepare their (meta)data for opening. Contents: What is data management and why is it important? How to make a Data Management Plan? How to document your research data properly? How to organize and store your research data? How to process personal data? What is open science and where to find data for re-use? Cite: Gedrimiene, Egle; Hyrkäs, Elina; Kallio, Miki; Rauhala, Marika; Sipola, Tiina; Virtanen, Mika E. (2023). Research Data Management - BA & MA level. Self-study course. University of Oulu. https://urn.fi/urn:nbn:fi:oerfi-202302_00026178_8