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Data protection reliability refers to the processes that ensure that personal data is legally collected and stored in a secure manner, never shared with others or used in violation of a person’s rights. It covers everything from ensuring data collection tools adheres to industry standards, to training data collectors, and creating clear guidelines for data management.
It is crucial to distinguish between the reliability of data (such as whether the exact result could be achieved in the event of a repeat measurement) and data validity (such as whether it accurately measures what it is intended to measure). While data reliability is focused on consistency (such as whether the same result would be obtained by repeating the measurement) Data validity is more concerned about the accuracy of the data (like whether it accurately reflects what it is meant to measure).
Unreliable data can have detrimental consequences. If a business is dependent on insufficient data to make decisions, it could end up wasting money, or investing in unsuccessful initiatives. It could also cause a loss of trust among employees, customers and partners, and reduce accountability. In some instances the use of insecure data may even have legal or regulatory consequences.
Enhancing the reliability of data is a difficult task, however, there are numerous ways to improve it. Implementing standard www.digitaldataroom.net/electronic-data-rooms-secure-solutions-for-your-business/ methods, training the data collectors, and providing reliable tools are some of the most effective methods. It is also important to create feedback loops that allow data users to communicate any errors. In addition, it is essential to maintain the integrity of data by making sure that all systems are properly back up and recovery and backup processes work in the way they were intended to.
