Data management is about organizing research materials and files in a way that makes it easy for them to be located and comprehended. This includes arranging and labeling documents to make them easy to find while ensuring that all files and materials that are related are connected in a meaningful way, and ensuring that descriptions and metadata are clearly connected to and associated with the files.

It is essential to consider how the files are organized and labelled, whether they are kept in an orderly system of folders or as individual files. It is crucial to choose the same naming system for your files. This will allow you to identify all your information and materials in the future. A short text or README file that is added to the folder may be useful.

In addition to providing access to files and data, good data organization can also be a valuable tool to ensure that research can be replicated, and it is recommended to work out both the folder hierarchy and the naming conventions prior to the beginning of every project. These practices should be documented and shared with colleagues, and can be included in the on-boarding documentation for new members of research teams.

Good data governance can help a business save money over the long term by increasing transparency and cutting down on the amount of waste. Data mistakes can be costly for businesses. It is believed that inaccurate or incorrect data costs US companies between 15% and 25% of their annual revenue. Adopting dependable software that aids in the creation, cataloging and governance of data could help reduce the risk of these issues.

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