Organizing data management involves organizing research materials and files in a structure that makes it simple for them to be discovered and understood. This includes organizing and labeling files to make them easy to find as well as ensuring that the files and materials that are linked are connected in a meaningful way, and ensuring that descriptions and metadata are clearly connected to and correlated with files.
Whether the files are being stored in a hierarchy of folders or as individual files it is essential to think through how they will be arranged and labeled. It is crucial to choose a consistent naming system for the files. This will help you identify all your materials and data at a later point. 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 and the naming conventions before starting any project. These guidelines should be documented and shared with colleagues and could be included as part of the on-boarding documentation for new members of a research team.
A solid data governance system will save a company money by increasing transparency and reducing wastage. Data mistakes can cost organizations huge amounts, and it’s estimated that erroneous or incomplete data costs US companies between 15% and 25 percent of their revenue every year. Implementing reliable software that assists in the creation, cataloging and governance of data could help mitigate these issues.
https://housecompany.net/basic-points-to-consider-when-looking-for-a-board-software/
