VJC Chapter 24 Data Management

Chapter 24 Data Management Content 1 Data Lifecycle 2 Data Privacy 3 Data Integrity 4 Threats to data 5 Methods to protect data 5.1 Data backup 5.2 Data archive 5.3 Restricting access 5.4 Version Control 5.5 Validation and Verification 5.6 Disaster recovery 5.7 Data encryption 5.8 Data Erasure 6 Governance of personal data 6.1 Personal Data 6.2 PDPA 6.3 Data Protection Obligations Annex 1 - Do Not Call Registry Syllabus Learning Outcomes 3.3 Databases and Data Management Understand, create and use SQL and NoSQL databases, as well as understand techniques to protect the privacy and integrity of data. 3.3.9 Understand the need for privacy and integrity of data. 3.3.10 Describe methods to protect data. 3.3.11 Explain the difference between backup and archive. 3.3.12 Describe the need for version control and naming convention. 3.3.13 Explain how data in Singapore is protected under the Personal Data Protection Act to govern the collection, use and disclosure of personal data. 1 Data Lifecycle In computer science, data is information coded and structured for subsequent processing. It is any sequence of one or more symbols. Data requires interpretation to become information. In computers, data is stored digitally, i.e.

data is represented using the binary number system of ones and zeros, instead of analogue representation. This allows us to use the computer to process the data. The data life cycle refers to the entire period of time that data exists in the system. This life cycle encompasses all the stages that the data goes through, from its creation to its eventual disposal, encompassing the entire lifespan of data within an organisation or system. 2 Data Privacy Data privacy is the requirement for data to be accessed by, or disclosed to, authorised users only. In other words, it is about keeping data private rather than allowing it to be available in the public domain. The term may be applied to both individuals and organisations. It is important that unauthorised people do not have access to data they are not supposed to have. Unfortunately, in today’s digitised society, it is easier than ever to gather a person’s data and use it to obtain valuable insights, track his/her movements, or commit fraud. For instance, data on which websites you visit often can reveal which products you are more likely to purchase as a shopper. This information can be highly valuable to an adve