Organizing data management involves organizing research materials and files in a format that makes it simple for them to be found and understood. This includes organizing and labeling the files in a way that makes them easy to locate and ensuring that materials and files that are related are connected in a meaningful way and ensuring that metadata and descriptions are clearly connected to and correlated with files.

No matter if the files are stored in a folder hierarchy or as individual files it is important to consider the way they will be organized and labeled. Choosing a consistent file naming system can help ensure that all documents and data are easily identifiable at a later time and it is worth noting that different disciplines have their own recommendations for this. A README or brief text file can be added to the folder.

It is important to plan out the hierarchy of folders and the naming conventions prior beginning 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 well-functioning data governance program can save a business money by increasing transparency and reducing waste. Data errors can be costly for organizations. It is estimated that incomplete or inaccurate data costs US companies between 15 and 25 percent of their revenue. The adoption of reliable software that assists in the creation and cataloging of data can help reduce these problems.