Organizing Data Management

The management of data involves keeping research materials and documents in a way that makes it simple for them to be discovered and understood. This includes labeling and arranging files in order to make them easy to find and ensuring that materials and files that are closely related are linked in a meaningful manner and ensuring that metadata and descriptions are clearly connected to and correlated with files.

It is crucial to think about how the files will be organized and labelled, whether they are stored in an orderly system of folders or as individual files. Making sure that you choose a consistent name for your files system will ensure that all data and materials are easily identified at a later time and it is important to note that many disciplines have their own suggestions for this. A short text or README file that is added to the folder could be beneficial.

It is essential to map out the hierarchy of folders as well as the naming conventions prior starting any project. These practices should be documented and shared with colleagues and should be included in the on-boarding documents for new members of a research team.

A good data governance system can save a business money over the long term by enhancing transparency and eliminating the amount of waste. Data errors can be costly to businesses. It is believed that inaccurate or incorrect data can cost US companies between 15 and 25 percent of their annual revenues. Implementing reliable software that assists in the creation, cataloging and management of data could help reduce the risk of these issues.

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