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Information for the interested party on data protection

5.10. Non-procedural files

Description of the activity

Filing, management, information tool and evaluation of the services provided in dealings with other Departments of the Agency and external entities (State Attorneys, Courts, etc.) and of the internal organization of the operation of the Legal Service itself.

Purpose

Effective implementation of the state tax and customs system.

Interested parties

  • Taxpayers and obliged subjects

 Details

  • Details of the Interested Party: DNI/NIF, Name and Surname
  • Subjects covered by the interested party's query
  • Those 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

Not foreseen

Expected 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 analysis and data mining.

Technical/organizational measures

All data processed has been evaluated through a risk analysis, obtaining the list of technical and organizational measures to be applied.

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 Attorneys, Courts, etc.) and on the internal organization of the operation of the Legal Service itself. The main use of this file, in addition to being an informative tool, is to serve as an archive and as a management and evaluation tool for the Service, through data analysis and mining.