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Data management is about maintaining research materials and other files in a structure that makes it easy for them to be located and understood. This involves arranging and labeling the files in a way that makes them easy to locate and ensuring that files and materials that are linked are connected in a meaningful manner and making sure that metadata and descriptions are clearly connected to and correlated with files.
It is crucial to think about how the files are labeled and organized, whether they are kept in the form of a hierarchy of folders, or as individual files. Selecting a consistent naming system can help ensure that all information and materials are easily identifiable at a later date and it is important to remember that many disciplines have their own recommendations for this. A brief text or README file added to the folder may be useful.
In addition to facilitating access to data and files well-organized data is also a great tool to ensure that research is reproducible, and it is recommended to map out the hierarchy of folders and the naming conventions prior to the beginning of every project. These practices should be documented and shared with colleagues, and may be included in the on-boarding documentation for new members of an research team.
Good data governance can help a business save money over the long term by enhancing transparency and decreasing the amount of waste. Data errors can cost organizations substantial sums of money, and it is believed that incorrect or incomplete data can cost US businesses anywhere from 15% to 25% of their revenue each year. Adopting dependable software that aids in the creation, cataloging and governance of data could help mitigate these issues.