Research Data Management (RDM) is the process of planning, organizing, storing, protecting, and sharing all research data generated during the research process. This includes understanding the data lifecycle, selecting appropriate storage solutions, implementing data protection measures, ensuring data accessibility and reproducibility, and ultimately preserving or disposing of the data. Good research data management improves research efficiency, increases data integrity and reuse value, and meets the requirements of research funders and journal providers.

研究資料管理和研究流程之間緊密相關，若能做好研究資料管理，將可以提升您研究中的：

• 資料安全性和完整性

• 資料可取用性和可再利用性

• 研究資助者和期刊出版者的資料管理要求合規性

• 透明度與可信任度

• 效率和準確性

Research data management is closely tied to research processes. Effective management of your research data can enhance the following aspects of your work:

• Data security and integrity

• Data accessibility and reusability

• Compliance with data management requirements from research funders and journal publishers

• Transparency and trustworthiness

• Efficiency and accuracy.