Data protection is nothing more than a set of practices and policies designed to protect the privacy of research subjects against corruption, leaks, loss, or compromise of data and to ensure that their data is used only for authorized purposes. These practices include providing that only authorized personnel has access to research data, that data is stored securely, and that data is destroyed when no longer needed. By following these data protection practices, researchers can help ensure that the information they collect is used responsibly and only for its intended purpose.
The value of data protection increases significantly for those involved as the proportion of data created and stored is in turn increasing exponentially. In addition, there is little tolerance for the time of inaction that can make it impossible to access critical information.
This process is divided into fundamental objectives including the data management process that includes a structure shaped by a goal, which is to make that information in corporate systems tight, available and accessible. Most of the work is done by IT and management experts.
Therefore, if you follow a strict data management plan, you will meet the expectations and goals that your organization has set for improvement.
Scope of information and data protection
A usual practice and of many benefits is always to maintain multiple periodic backups that will allow recovery before any eventuality; but, this backup is not enough at the moment of safeguarding that this information arrives to be manipulated it is for them that the multiple tangible benefits are manifested for any organization.