A data management plan $($DMP$)$ is a crucial component of any PhD research project. It serves as a roadmap for handling the data generated throughout the research process, ensuring that it aligns with the guidelines set forth in the Australian Code for the Responsible Conduct of Research Management of Data and Information in Research $(2018).$

The DMP is designed to capture every stage of the research process, creating a comprehensive audit trail. This includes raw data from participant interviews $($both audio and transcribed$),$ detailed data analysis and synthesis, quality control notes, and personal or field notes. These notes will provide reference points to the raw data, explaining how the research outcomes were derived.

The DMP is not just about data collection; it$$s also about data protection. It ensures that the data collected during the project is safeguarded, both in terms of availability $($for evidencing the research and its processes$)$ and security $($to prevent loss or inappropriate access or use$).$

The DMP is outlined in both the research design and ethics application, addressing key questions such as data ownership, access rights, storage location, storage duration, quality control processes, data analysis information, personal note records, data dissemination methods, and data destruction timeline.

In essence, the DMP is a tool that aids in the effective management and scrutiny of research data, while also ensuring its protection. It$$s a vital instrument for maintaining the integrity and transparency of the research process, ultimately contributing to the credibility and reproducibility of the research findings