Application
This unit describes the skills and knowledge required to evaluate and confirm that an organisation meets the legal obligations of data ethics legislation.
It applies to data analytics specialists who work in higher-level positions within in a broad range of industries and are responsible for ethical and legal aspects of data handling.
No licensing, legislative or certification requirements apply to this unit at the time of publication.
Elements and Performance Criteria
1. Confirm required data ethics legislation | 1.1 Identify data ethics legislation according to industry legal requirements 1.2 Identify voluntary codes and industry standard best practices according to organisational requirements 1.3 Document all identified regulations that impact organisation’s operations according to organisational policies and procedures |
2. Review organisation’s compliance to identified legislation | 2.1 Review and determine organisational compliance with required data-related legislation, policies and procedures 2.2 Document compliance review findings of non-compliance according to organisational policies and procedures 2.3 Develop and document non-compliance corrective action plan according to organisational policies and procedures |
3. Finalise organisation’s evaluation | 3.1 Submit non-compliance corrective action plan to required personnel 3.2 Seek and respond to non-compliance corrective action plan 3.3 Communicate review schedule and legislative changes to required personnel 3.4 Present documented review findings to required personnel |
Evidence of Performance
The candidate must demonstrate the ability to complete the tasks outlined in the elements, performance criteria and foundation skills of this unit, including evidence of the ability to:
review and improve an organisation-wide review of data-related policies and procedures.
In the course of the above, the candidate must:
confirm compliance with data ethics legislation
communicate review schedule and legislative changes
document review outcomes.
Evidence of Knowledge
The candidate must be able to demonstrate knowledge to complete the tasks outlined in the elements, performance criteria and foundation skills of this unit, including knowledge of:
legislative requirements and standards relating to protecting data integrity, including data protection, privacy laws and regulations
organisational policies, procedures and protocols relating to protecting data integrity including for:
data accuracy
verifying data security
data discrepancies between different sources
identifying data breaches
ethical management and governance of data, including balancing data availability and data confidentiality
compliance requirements and regulations relating to data loss and documentation procedures and corrective actions relating to non-compliance
policy review procedures
codes of practice relating to data management.
Assessment Conditions
Skills in this unit must be demonstrated in a workplace or simulated environment where the conditions are typical of those in a working environment in this industry.
This includes access to:
information and data sources to inform data analysis
information and telecommunications equipment required to analyse data
industry standards, organisational procedures, and legislative requirements.
Assessors of this unit must satisfy the requirements for assessors in applicable vocational education and training legislation, frameworks and/or standards.
Foundation Skills
Learning | Modifies behaviour following exposure to new information |
Oral communication | Uses listening and questioning techniques to confirm task requirements and articulate complex concepts using relevant industry for intended audience |
Reading | Interprets information from relevant sources to determine organisational impacts relating to data ethics legislation |
Writing | Prepares documentation using industry-related terminology |
Planning and organising | Takes responsibility for planning, sequencing stages in modifying standards relating to data ethics Prioritises tasks and own workload for required outcomes |
Self-management | Implements standard procedures and makes decisions for routine tasks Uses formal decision-making processes for more complex and non-routine situations |
Sectors
Data analytics