Data management is the practice that covers all aspects of handling data, including file organization and naming, data security and backups, data publishing, storage, and sharing,
and using data management tools for collaborating with other researchers.
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Managing data helps you:
- save time and resources
- provide evidence for your research in conjunction with published results
- preserve your data for long-term access
- avoid the loss, degradation, or damage of your data
- promote new discoveries through data sharing
- meet data management requirements of research sponsors
- support open access by making your data freely available through open data repositories
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Any raw material - in both physical and digital form - collected and/or generated in the course of a research project.
All the stages the data progress through during the research process.
The practice of managing, sharing, and archiving data.
Data management plan
A plan outlining what data will be generated, collected, or used for a research project, and how that data will be managed during and after a research project.
A database that organizes and holds digital data and makes the data available for use and reuse.
A collection of data that relates to a particular research study.
The description of all aspects of data and software components used for the collection or creation of data.
Data that can be freely used, reused, and redistributed by anyone.