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  • Candidate Nomination in Hungary: Regulation and Data Protection Law Implications
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    The study examines the data-protection implications inherent in the domestic candidate nomination system. In Hungary, the nomination of a candidate for election is based on the legal mechanism of collecting voters’ ‘recommendations’, a process that necessarily involves the processing of their personal data. This gives rise to several data-protection dilemmas, the most significant of which are: (a) whether a voter’s recommendation constitutes or reveals a ‘political opinion’; (b) the role, under data protection law, of those collecting recommendations; (c) the lawful duration of the collection process; and (d) whether voters may be informed or ascertain that their personal data appear on a recommendation sheet. The analysis is grounded in a dogmatic legal method: it reviews and evaluates both domestic and European legal sources, the official positions adopted by supervisory authorities, and the pertinent academic literature. The study demonstrates that the development of the regulatory framework reflects the gradual incorporation of data-protection safeguards; nevertheless, in several areas it continues to employ regulatory solutions that depart from, and in certain respects even contradict, the underlying logic of data-protection law.