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Information to the interested party on data protection

5.10. Non-Procedural Files

Description of the activity

Archive, management, information instrument and evaluation of the services provided in the negotiations with other Departments of the Agency and external entities (State Lawyers, Courts, etc.) and the internal organization of the operation of the Legal Service itself.

Purpose

Effective application of the state tax and customs system.

Interested

  • Taxpayers and obligated subjects

 Details

  • Details of the Interested Party: DNI/NIF, Name and Surname
  • Matters on which the interested party's query relates
  • Responsible for preparing the response: Full name

 Treatments

  • Collection 
  • Record
  • Storage
  • Structuring 
  • Modification
  • Update
  • Copy
  • Analysis
  • Enquiry
  • Extraction
  • Promotion
  • Interconnection
  • Limitation
  • Suppression 
  • Destruction
  • Other

Recipients

  • Legal Services

International transfers

are not foreseen

Planned deadlines for deletion

The data collected will not be deleted and will remain in the databases of the State Tax Administration Agency (AEAT) in order to cover possible legal requirements or other types of claims that may arise.

Profiling

Based on the actions entrusted to the AEAT for the exercise of its functions, the data of the activities may be processed for data analysis and mining.

Technical/organizational measures

All data processed has been evaluated through a risk analysis, having obtained a list of technical and organizational measures to apply.

These measures have been applied in accordance with the approved adaptation plan.

More information

This file contains information on procedures with other Departments of the Agency and external entities (State Lawyers, Courts, etc.) and on the internal organization of the operation of the Legal Service itself. The main use of this file, in addition to as an information instrument, is to serve as an archive and a management and evaluation tool for the Service, through data analysis and mining.