Data processing: introduction and explanation
Data processing: definition
The fourth article of the new European legislation ( GDPR ) describes data processing as follows:
“any operation or set of operations which is performed on personal data or on sets of personal data, whether or not by automated means, such as collection, recording, organisation, structuring, storage, adaptation or alteration, retrieval, consultation, use, disclosure by transmission, dissemination or otherwise making available, alignment or combination, restriction, erasure or destruction.”
In order to be lawful, data processing must have suitable juridical grounds and the Supervisory Authority recommends a Record of the processing activities (even though this document is not mandatory).
There are several steps that data undergo, here we can see the whole process described in details.
Data processing: operations
As we previously mentioned, data usually follow a path and undergo several operations, such as:
- Gathering: the initial phase of the data processing. It is a simple and obvious step during which data are gathered;
- Registration: this phase implies the storage of the data;
- Organization & Structuring: the first one represents the classification of the data while the second one implies the distribution following a precise pattern;
- Storage: it includes saving the data no matter what the devices is;
However, these are not the only operations that concern data. As a matter of fact, data can be subject to:
- Consultation: it consists in reading the personal data;
- Modification: this change can relate to small part of the data;
- Elaboration: whenever data undergo a significative modification;
- Selection: choosing some data within already stored groups of data;
- Extraction: every time data are extrapolated;
- Interconnection: using more than one data set;
- Communication: communicating the personal data to someone different from the data subject;
- Disclosure: whenever a not-identified third party in any shape or form has at his disposal the data;
- Erasure: the elimination of the data;
- Distruction: the final activity of this circle, whenever data no longer exist.
in collaboration with
Data processing: the data
Every data processing must be carried out in a lawful way, the purposes of the data processing must be legitimate, precise and explicit.
In addition, the processed data must be correct and up to date, stored for a reasonable timeframe (that cannot exceed the purpose of the data processing itself). Obviously, it is not possible to use data gathered in an illecit way.
Swascan: GDPR approach
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in collaboration with
Following a fac simile of the final report:
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