Search results
Results From The WOW.Com Content Network
The data retention policies within an organization are a set of guidelines that describes which data will be archived, how long it will be kept, what happens to the data at the end of the retention period (archive or destroy) and other factors concerning the retention of the data. [6]
Records may be covered by access controls to regulate who can access them and under what circumstances. Physical controls may be used to keep confidential records secure – personnel files, for instance, which hold sensitive personal data, may be held in a locked cabinet with a control log to track access.
In contrast, data holdings are collections of gathered data that are informally kept, and not necessarily prepared for long-term preservation. For example, a collection or back-up of personal files. Data holdings are generally the storage methods used in the past when data has been lost due to environmental and other historical disasters. [4]
The Markup outlines key tips for college students on how to protect their online identity and data. Skip to main content. Sign in. Mail. 24/7 Help. For premium support please call: 800-290-4726 ...
Data must remain available in the long term. At present, a growing problem is the time taken to reproduce an archive, for instance following a hardware or system upgrade. Since the sheer volume of archive data continues to grow, new hardware is always required to maintain the archive and so regular migration of data to a new system must be ...
Ken and Daria Dolan, America's First Family of Personal Finance, answer your money questions every Friday. Click here to ask Ken and Daria your question.If you're like us, you have a few things ...
One way people are rethinking their Facebook interaction is considering what personal information ― such as the products you look at or your other online browsing habits ― is shared with the ...
Data minimization is the principle of collecting, processing and storing only the necessary amount of personal information required for a specific purpose. The principle emanates from the realisation that processing unnecessary data is creating unnecessary risks for the data subject without creating any current benefit or value.