Organizing Data Management

The process of organizing data involves keeping files and research materials in a way that makes them easy to find and understand. This includes arranging and labeling the files in a way that makes them easy to find, ensuring that materials and files that are linked are connected in a meaningful manner, and ensuring that descriptions and metadata are clearly connected to and correlated with the files.

If the files are stored in a hierarchy of folders or as individual files, it is important to think through how they will be arranged and labeled. Selecting a consistent naming system can ensure that all documents and data are easily identified at a later time and it is worth noting that many disciplines have their own suggestions for this. A short text or README file added to the folder may be useful.

It is essential to figure out the folder hierarchy and the naming conventions prior starting any project. These guidelines should be documented, shared with colleagues, and included in the onboarding documentation for new research team members.

A good data governance system can save a company money over the long term by increasing transparency and decreasing the amount of waste. Data errors can cost organizations significant sums of money, and it is believed that incorrect or incomplete data can cost US businesses 15% to 25 percent of their revenue each year. Adopting dependable software that aids in the creation, cataloging and management of data could help alleviate these issues.

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