Data minimisation definition

Data minimisation in point (c) means that for each data category you must be able to explain why it is necessary for fulfilling the purpose of the processing - ask yourself ‘Do we really need this for our purpose? Could we do without this data item?’23
Data minimisation means that your EUI only processes the personal data it really needs to fulfil the purpose of the processing and only keeps them for as long as necessary for this purpose. This is also key for avoiding unlawful excessive processing of personal data.
Data minimisation means data reporters and handlers only collecting data that is “adequate, relevant and limited to what is necessary” is processed. When capturing a whistleblowing report, detail is essential. More detail can greatly aid the investigation process – but it can be difficult to determine how much information is ‘too much’.

Examples of Data minimisation in a sentence

  • Data minimisation and proportionality will be maintained by only asking for data that is needed to fulfil a specified purpose.

  • Data minimisation and transparency along with clear rules on the processing of personal data limits the risk of intrusive monitoring and misuse of personal data.

  • DPA Organisation Name Expiry Date Dataset Extract Type Identifiability Sensitivity Periods Legal Basis for Access Frequency Data Minimisation Data minimisation Dataset Extract Type Identifiability Sensitivity Periods Legal Basis for Access Frequency Data Minimisation Data Minimisation 3c.

  • Data minimisation principles have been applied to this process and no superfluous personal information is shared for this purpose.

  • Measures for ensuring data minimisation Data minimisation is a Controller responsibility.

  • Data minimisation should be practiced in order to limit the exposure of personal data to unauthorised access.

  • Data minimisation - adequate, relevant and limited to what is necessary in relation to the purposes for which they are processed 4.

  • As part of this approvals process officials, including senior data and legal experts, assess the application for public benefit, proportionality, Data minimisation, legal underpinning, and that the strict information security standards we enforce have been satisfied.

  • Data minimisation, necessity and proportionality We have no control over the Content transmitted to or from the Services by you, your Group and Users (including the volume, type and necessity of that Content).

  • Measures for en- suring data mini- misation Data minimisation is a Controller responsi- bility.


More Definitions of Data minimisation

Data minimisation means ensuring only data that is “adequate, relevant and limited to what is necessary” is processed during the whistle-blowing investigation. The Whistle blower should be informed of where their data is stored (if electronically or paper based) and how it is secured. Only relevant data should be retained.
Data minimisation means data reporters and handlers only collecting data that is “adequate, relevant and limited to what is and limited to what is necessary” is processed.
Data minimisation. The Recipient has ensured that it requests only the data which is necessary in order to carry out the Research.
Data minimisation means personal data is adequate, relevant, and limited to the minimum necessary in relation to the purposes for which they are processed;
Data minimisation means that data processed for a particular purpose should be sufficient for that purpose, relevant, and limited to what is necessary for that purpose. This is primarily down to the design of (information) processes and the associated digital information request forms. It can also be about asking for information that is too specific for what is required.

Related to Data minimisation

  • pseudonymisation means the processing of personal data in such a manner that the personal data can no longer be attributed to a specific data subject without the use of additional information, provided that such additional information is kept separately and is subject to technical and organisational measures to ensure that the personal data are not attributed to an identified or identifiable natural person;

  • Transit-oriented development means infrastructure improvements that are located within 1/2 mile of a transit station or transit-oriented facility that promotes transit ridership or passenger rail use as determined by the board and approved by the municipality in which it is located.

  • Extreme Vetting means data mining, threat modeling, predictive risk analysis, or other similar services." Extreme Vetting does not include:

  • Technical violation means a noncriminal violation of the conditions of parole. This rule is intended to implement Iowa Code section 905.7.

  • Brand Name or Equal Specification means a specification which uses one or more manufacturer’s names or catalogue numbers to describe the standard of quality, performance, and other characteristics needed to meet District requirements, and which provides for the submission of equivalent products.