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Data Management Level 1 Hooks - Coggle Diagram
Data Management Level 1 Hooks
Structured filing system
Give me an example of a good, structured filling system?
Using a Taxonomy approach. This is a standard approach of organising documents into named folders. E.g. correspondence, contract documents, design information; valuations. Main steps to creating this type of system
1) Agree a central document sharing system and folder structure aligning to the project
2) Create a document referencing system
3) Create a protocol document defining the rules each party must adopt when using the system
4) Assign a Data Manager
Secure network
Give me an example of a secure network?
Project extranet system
– This is a computer network system that allows external parties to view project files on a secure platform
Advantages
1) Improves communication
2) 24-hour access
3) Efficient
4) Secure (access and permission settings can be applied)
Disadvantages
1) Can be expensive
2) Requires Maintenance
3) May require user training to operate
Audit Trail
What is an audit trail and why is it important? Give me some examples of what could be used to create an audit trail?
An audit trail in construction is the time-stamped and date, sequential records of the details and history around a work event, project development phase, business transaction, etc. Different fields usually have audit trails that exist in various forms to capture their distinctive focus areas.
Advantages
1) Tracks all decisions made
2) Tracks actions
3) Assists in the event a claim is made against a party
4) Allows an individual to take over the role of another and develop an understanding
5) Quality assurance compliance
Examples
• Meeting Minutes
• Email trails
• Reports
GDPR 2018
GDPR is a regulation in EU law on data protection and privacy in the European Union and the European Economic Area. It also addresses the transfer of personal data outside the EU and EEA areas. The Data Protection Act 2018 is the UK's implementation of the General Data Protection Regulation (GDPR). The Data Protection Act 2018 controls how your personal information is used by organisations, businesses or the government. The 7 key principles under GDPR:
The 7 Key principles under GDPR
1) Lawfulness, fairness and transparency
2) Purpose limitation
3) Data minimisation
4) Accuracy
5) Storage limitation
6) Integrity and confidentiality
7) Accountability
The Key persons under GDPR
Data Controller
- person that decides how and why to collect and use the data. The controller must make sure that the processing of that data complies with the data protection law.
Data Processor
- a separate person who processes data on behalf of the controller and in accordance with their instructions
Data Subject
- Individual whom personal data is about
Data Protection Officer
- Is a guarantor of compliance with the data protection regulations, without replacing the functions carried out by the supervisory authorities