Data ethics and privacy
Data ethics and privacy involves using data and emerging data techniques in compliance with ethical and legal obligations.
Niveaus
- 1. Bewustzijn
You can:
- explain the importance of using data ethics and privacy in your work
- identify appropriate channels to discuss ethical issues, with support
- 2. Toepassend
You can:
- apply fundamental principles of data ethics and privacy in your work under supervision
- share data ethics and privacy risks through appropriate channels
- 3. Ervaren
You can:
- work with stakeholders to identify and address ethical and privacy concerns
- demonstrate and communicate how data ethical issues fit into the wider organisational context
- research developments in data ethics and privacy to improve compliance and processes
- assess and constructively challenge proposed data ethics policies
- 4. Expert
You can:
- oversee compliance with data ethics standards and legislation across the organisation
- develop, manage and continuously improve an ethical framework within your area
- develop a data ethics culture, influencing others to act on it
- ensure data ethics is applied appropriately when formulating, implementing and evaluating organisational policies and programmes
Contains public sector information from the UK Government Digital and Data Profession Capability Framework (https://understand-digital-data-roles-skills.service.gov.uk/), licensed under the Open Government Licence v3.0. © Crown copyright.
Dichtstbijzijnde vaardigheden in ESCO
Contains ESCO v1.2.1 data (https://esco.ec.europa.eu/). © European Union. Reuse authorised under Commission Decision 2011/833/EU.
Rolniveaus die deze vaardigheid verwachten
| Rolniveau | Rol | Band | Verwacht niveau |
|---|---|---|---|
| Associate data-analist | Data-analist | 5 | Bewustzijn |
| Data-analist | Data-analist | 6 | Toepassend |
| Senior data-analist | Data-analist | 7 | Ervaren |
| Principal data-analist | Data-analist | 8b | Ervaren |
| Trainee datawetenschapper | Datawetenschapper | 4 | Bewustzijn |
| Associate datawetenschapper | Datawetenschapper | 5 | Toepassend |
| Datawetenschapper | Datawetenschapper | 6 | Ervaren |
| Principal datawetenschapper | Datawetenschapper | 7 | Ervaren |
| Lead datawetenschapper | Datawetenschapper | 8a | Expert |
| Hoofd datawetenschap | Datawetenschapper | 8b | Expert |
| Plaatsvervangend functionaris gegevensbescherming | Functionaris gegevensbescherming | 8a | Ervaren |
| Functionaris gegevensbescherming | Functionaris gegevensbescherming | 8b | Expert |
| Senior functionaris gegevensbescherming | Functionaris gegevensbescherming | 8c | Expert |
| Senior medewerker informatiebeheer | Functionaris informatiebeheer | 5 | Toepassend |
| Lead informatiebeheer | Functionaris informatiebeheer | 6 | Ervaren |
| Manager informatiebeheer | Functionaris informatiebeheer | 7 | Ervaren |
| Hoofd informatiebeheer | Functionaris informatiebeheer | 8a | Expert |
| Senior machine-learning-engineer | Machine-learning-engineer | 7 | Ervaren |
| Lead machine-learning-engineer | Machine-learning-engineer | 8b | Ervaren |
| Manager datagovernance | Manager datagovernance | 7 | Toepassend |
| Lead manager datagovernance | Manager datagovernance | 8b | Ervaren |
| Hoofd datagovernance | Manager datagovernance | 8c | Expert |