Data management is about keeping research materials and documents in a way that makes it easy for them to be discovered and comprehended. This means labeling and arranging files to make it easier to locate them, connecting files and materials in a meaningful manner, and making sure that metadata and descriptions can be clearly linked and associated with the files.
It is crucial to think about how the files are organized and labeled, whether they are stored in an orderly system of folders or as individual files. It is important to choose a consistent name system for the files. This will allow you to identify all your materials and data in the future. A short text or README file that is added to the folder could be useful.
It is essential to map out the folder hierarchy as well as the naming conventions prior beginning any project. These practices should be documented and shared with colleagues, and included in the onboarding documents for new members of the research team.
A good data governance system can help a business save money in the long run by enhancing transparency and decreasing the amount of waste. Data mistakes can cost organizations huge amounts, and it’s believed that incorrect or incomplete data can cost US companies between 15% and 25 percent of their revenue every year. Implementing reliable software that assists in the creation, cataloging and management of data can help mitigate these issues.
