{"id":1447,"date":"2019-06-14T12:51:36","date_gmt":"2019-06-14T16:51:36","guid":{"rendered":"https:\/\/fuseanalytics.com\/?p=1447"},"modified":"2020-11-12T14:08:43","modified_gmt":"2020-11-12T18:08:43","slug":"how-long-is-too-long-for-data-retention","status":"publish","type":"post","link":"https:\/\/fuseanalytics.com\/how-long-is-too-long-for-data-retention\/","title":{"rendered":"How long is too long for data retention?"},"content":{"rendered":"

[et_pb_section fb_built=”1″ admin_label=”section” _builder_version=”3.22″][et_pb_row admin_label=”row” _builder_version=”3.25″ background_size=”initial” background_position=”top_left” background_repeat=”repeat”][et_pb_column type=”4_4″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text admin_label=”Text” _builder_version=”4.6.6″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” hover_enabled=”0″ sticky_enabled=”0″]Data retention became a hot topic after GDPR<\/a> thrust the right to be forgotten<\/a> into the world. But how do you do it and still remain compliant with other laws that require you to retain data for a minimum length of time? Well as you probably predicted it is complicated. We will go through what it means to forget someone, and what fields and specific data you can remove.<\/p>\n

Forget Me Not<\/h2>\n

The data contained in most HR systems covers a lot of ground. There are many dimensions of data kept on employees from personal data to employee data to payroll. Regulations differ on how long each dimensions must be kept. For example, FMLA requires data is kept 3 years, but OSHA requires 5 years. And even within a regulation different dimensions can differ. For example, ADA requires 3 years for name, but only 1 year for address or pay rate.<\/p>\n

Different dimension are removed at different time frames. So what is not apparent to most people is “removing someone’s data” is not a whole sale delete all data about that person. Some data maybe removed, but other data could be retained as the company sees fit.<\/p>\n

Other regulations affect a company depending on the their industry. For example, OSHA regulations require companies retain data for 30 years. The reason is it can take a long time for people to show signs of injury. For example, asbestos claims showed up 20-30 years after handling hazardous chemicals. This can also applies to sports teams because of things like CTE.<\/p>\n

The good news is that we created a chart of the different human resources data and their retention periods for various laws. Each row represents a different data set, and each column a different law. On the right are combined statistics for the row. This includes the minimum, the maximum period, and the recommended retention periods. <\/p>\n


\n\"US
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Data retention became a hot topic after GDPR thrust the right to be forgotten into the world. But how do you do it and still remain compliant with other laws that require you to retain data for a minimum length of time? Well as you probably predicted it is complicated. We will go through what […]<\/p>\n","protected":false},"author":4,"featured_media":1455,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"The right to be forgotten is a hot topic today given GDPR has put that right into law now. But in the event someone or an event requires you to actually execute someone being forgotten how do you do it, and still remain compliant with other laws that require you to keep data for a minimum length of time. Well as you probably predicted it's complicated. We will go through what it means to forgot someone, and what fields and specific data you can remove.\r\n\r\nThe data contained in most HR systems covers a lot of ground. There are many dimensions of data kept on employees from personal data to employee data to payroll. Regulations differ on how long each dimensions must be kept. For example, FMLA requires data is kept 3 years, but OSHA requires 5 years. And even within regulation different dimension can differ. For example, ADA requires 3 years for name, but only 1 year for address or pay rate.\r\n\r\nDifferent dimension are removed at different time frames so what is not apparent to most people is that \"removing someone's data\" is not a whole sale delete all data about that person. Some data maybe removed, but other data could be retained as the company sees fit.\r\nIf someone asks to be forgotten you only need to remove the personal identifying information, but you might have to keep payroll or benefits.\r\n\r\nAnd the regulations make you divide up that data along those lines. In other words there are regulations and rules that apply to time data, others that apply to payroll data, and others that apply to personal data. But, that is not all.\r\n\r\nDepending on the industry you operate in other regulations might apply to your company, but not all companies. For example, companies that have to comply with OSHA regulations have to keep data up to 30 years because you cannot predict future litigation on an issue like asbestos claims where people are injured later in life after being exposed to or handling dangerous chemicals. This also applies to sports teams because of things like CTE.\r\n\r\nIn the chart below you can see the different human resources data on the rows, and across the top the retention in years for each regulation. On the far right you see the compiled statistics of the minimum period across all regulations, the maximum period, and the recommended retention period. Worker's compensation regulation dominates most other regulations with 10 years across most dimensions.\r\n\r\n\r\n\"US\r\n<\/a>","_et_gb_content_width":"","_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":""},"categories":[5,9,8],"tags":[11,28],"yoast_head":"\nFuse Analytics - How long is too long for data retention?<\/title>\n<meta name=\"description\" content=\"How long do you need to keep your HR data? 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