The management of data involves maintaining research materials and other files in a structure that allows them to be found and understood. This includes labeling and arranging files to make it easier to locate them, connecting materials and files in a meaningful manner, and ensuring that descriptions and metadata can be clearly linked and connected to the files.
Whether the files are being stored in a hierarchy of folders or as individual files it is crucial to think through the way they will be organized and labeled. Selecting a consistent naming system can help ensure that all information and materials are easily identified at a later time, and it is important to remember that different disciplines have their own recommendations for this. A brief text or https://www.housecompany.net/what-is-a-customer-data-platform/ README file that is added to the folder may help.
It is crucial to plan out the folder hierarchy as well as the naming conventions prior beginning any project. These practices should be documented, shared with colleagues and included in the onboarding document for new research team members.
Good data governance can save a business money in the long run by increasing transparency and eliminating the amount of waste. Data errors can be costly to organizations. It is believed that inaccurate or incorrect data costs US companies between 15 and 25 percent of their annual revenues. Adopting dependable software that aids in the creation, cataloging and governance of data can help mitigate these issues.