Data management

Research Data Management (RDM) encompasses practices and processes that assist researchers in collecting, organizing, storing, preserving, sharing, and analyzing their data. Effective RDM is crucial for researchers to ensure the integrity, availability, and usability of their research data. By implementing RDM, researchers can benefit from increased efficiency and productivity in their research workflows, reduced risk of data loss or corruption, and better compliance with legal and ethical data management requirements. RDM also supports collaboration and data sharing among researchers, leading to new insights and discoveries and enabling reproducibility and transparency of research results. Furthermore, well-managed data can result in increased impact and recognition of research outcomes and can help researchers meet funding and publisher requirements for data sharing and preservation.