# Personal information self-management: A survey of technologies supporting administrative services

**Authors:** Paul Marillonnet, Maryline Laurent, Mikaël Ates  
**arXiv:** [2109.12968](https://arxiv.org/abs/2109.12968)  
**Date:** 2021-09-27  
**Summary page:** https://www.summarizepaper.com/en/arxiv-id/2109.12968v1/

## Key points

- Comprehensive survey of technologies for personal data self-management in interfacing with public service providers
- Categorization into four groups: Personal Data Store (PDS), Identity Manager (IdM), Anonymous Certificate System, and Access Control Delegation Architecture
- Analysis based on eighteen functional criteria covering architectural, communication, and user data lifecycle considerations
- Unique approach filling a gap in current literature by providing extensive survey, addressing management of Personally Identifiable Information (PII) for administrative and private service providers, and conducting functional comparison of solutions with diverse technical characteristics

## Summary

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This paper presents a comprehensive survey of technologies designed for personal data self-management in the context of interfacing with administrative and territorial public service providers. The study categorizes various scientific technologies into four distinct groups: Personal Data Store (PDS), Identity Manager (IdM), Anonymous Certificate System, and Access Control Delegation Architecture. Each category is thoroughly analyzed based on eighteen functional criteria that cover architectural, communication, and user data lifecycle considerations. The significance of this research lies in its unique approach. Firstly, it provides an extensive survey covering a wide range of existing solutions, filling a gap in the current literature. Secondly, it addresses the management of Personally Identifiable Information (PII) for both administrative and private service providers, offering valuable insights for enhancing data protection practices. Thirdly, the paper conducts a functional comparison of solutions with diverse technical characteristics, highlighting their strengths and weaknesses. By identifying functional gaps in each solution, this study paves the way for future research directions aimed at addressing these shortcomings. The analysis not only sheds light on the existing technological landscape but also offers valuable recommendations for improving data self-management practices in online administrative services. With the growing importance of digital self-determination and privacy regulations such as the General Data Protection Regulation (GDPR), this research serves as a timely contribution to advancing personal data security and governance measures.