Editing Data management (section)

==Data management in research==
In research, Data management refers to the systematic process of handling data throughout its lifecycle. This includes activities such as collecting, organizing, storing, analyzing, and sharing data to ensure its accuracy, accessibility, and security. 

Effective data management also involves creating a [[data management plan]], DMP, addressing issues like ethical considerations, compliance with regulatory standards, and long-term preservation. Proper management enhances research transparency, reproducibility, and the efficient use of resources, ultimately contributing to the credibility and impact of research findings. It is a critical practice across disciplines to ensure data integrity and usability both during and after a research project.<ref>{{Cite journal|title=Ensuring research integrity: The role of data management in current crises|url=https://crln.acrl.org/index.php/crlnews/article/view/9224/10236|year=2014|journal=College and Research Libraries News|volume=75|issue=11|publisher=Association of College and Research Libraries|editor-last=Coble|editor-first=Zach|editor2-last=Ho|editor2-first=Adrian|last=Coates|first=Heather|pages=598–601 |doi=10.5860/crln.75.11.9224 |hdl=1805/5521|hdl-access=free}}</ref>

{{see also|FAIR data|Laboratory information management system}}