Data management is about maintaining research materials and other files in a manner that makes it easy for them to be found and comprehended. This involves labeling and arranging files in order to make it easier to locate them, linking files and materials in a meaningful manner, and making sure that descriptions and metadata are clearly linked to and associated with the files.\n<\/p>\n
It is important to consider how the files are labeled and organized, whether they are stored in a hierarchy of folders or as individual files. It is crucial to choose the same naming system for the files. This will help you identify all your data and materials at a later date. A brief text or README file that is added to the folder can also be beneficial.\n<\/p>\n
In addition to facilitating access to data and files well-organized data can also be a useful tool for ensuring that research can be replicated, and it is recommended to map out the folder hierarchy and the naming conventions prior to the beginning of each project. These practices should be documented and shared with colleagues, and included in the onboarding documentation for new research team members.\n<\/p>\n
A good data governance system can help a business save money by increasing transparency and reducing wastage. Data mistakes can cost organizations huge sums of money, and it is estimated that erroneous or incomplete data can cost US businesses between 15% and 25 percent of their revenues each year. Implementing reliable software that assists in the creation, cataloging and governance of data could help solve these problems.\n<\/p>\n