The management of data involves keeping research materials and documents in a structure that makes it easy for them to be accessed and comprehended. This includes labeling and organizing files in order to help you locate them, connecting files and materials in a meaningful manner, and making sure that metadata and descriptions are clearly linked and associated with the files.
It is crucial to think about how the files are labeled and organized, whether they are kept in a hierarchy of folders or as individual files. Selecting a consistent naming system will ensure that all materials and data can be easily identified in the future, and it is important to note that many disciplines have their own recommendations for this. A README or a short text file can be added to the folder.
In addition to providing access to files and data, proper data organization can also be a valuable method to ensure that research can be replicated, and it is recommended to work out the hierarchy of folders and the naming conventions at beginning of every project. These practices should be documented and shared with colleagues, and could be included as part of the on-boarding documentation for new members of a research team.
A good data governance system can save a company money in the long run by increasing transparency and reducing the amount of waste. Data mistakes can be costly for companies. It is believed that inaccurate or incorrect data costs US companies between 15 and 25 percent of their annual revenues. Adopting dependable software that assists in the creation and cataloging of data will help mitigate these problems.
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