Special Issue "Addressing Privacy and Data Protection in New Technological Trends"

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Processes".

Deadline for manuscript submissions: 31 May 2023 | Viewed by 798

Special Issue Editors

ADAPT Centre, Trinity College Dublin, Dublin 2, Ireland
Interests: privacy; data protection; GDPR; semantic Web; knowledge and data engineering; regulatory compliance
ADAPT Centre, School of Computer Science, University College Dublin, Dublin 4, Ireland
Interests: data governance; AI governance; knowledge graphs; data quality; data value; data privacy
Special Issues, Collections and Topics in MDPI journals
Ontology Engineering Group, Universidad Politécnica de Madrid, Madrid, Spain
Interests: knowledge and data engineering; linked data; semantic Web; knowledge graphs; artificial intelligence and law

Special Issue Information

Dear Colleagues,

Privacy and data protection are important topics for ensuring accountability and responsibility in recent technological advances like machine learning, Internet of Things, and the increasing amounts of data they rely on. Given the scale and pervasiveness of technological trends, governments have increasingly legislated to protect citizens’ rights. In parallel, citizens have become more aware of risks and impacts regarding data protection and privacy, which has led to new challenges for service operators, regulators, and information system architects. Privacy- and data protection-aware information and management systems are important areas of research to both investigate and discover these issues, and to develop effective information-processing solutions for the new regulatory environments. This Special Issue provides an opportunity to present the latest developments in the creation and application of information-based approaches within the domains of privacy and data protection.

This Special Issue seeks novel theoretical or applied research on designing, developing, integrating, testing, and evaluating approaches for systems or approaches regarding personal data processing. In particular, we invite work supporting privacy and data protection principles, regulations, or techniques, including new theories, foundations, vocabularies, tools, and significant case studies of privacy- or data-protection-aware implementations. Such work could be supported by AI approaches, such as knowledge graphs, privacy-preserving techniques, and interdisciplinary research—especially that exploring the intersections of computing and informatics with law, ethics, and psychology. Such proposals should explore making data protection and privacy principles deployable in real-world applications, with reduced costs, and moving towards a more trustworthy, transparent, and accountable world.

Topics of interest include:

  • Algorithmic transparency and accountability methods and tools for data protection or privacy applications;
  • Use of AI techniques, such as ML and NLP, towards implementing privacy and data protection;
  • Data privacy, ethics, and impact assessments;
  • Implementing and verifying regulatory compliance of data and privacy laws (e.g., GDPR);
  • Innovative use of new systems or architectures for a decentralised web, such as SOLID;
  • Novel systems and methodologies for managing personal data while assuring compliance;
  • Policies and their governance for privacy and data protection;
  • Privacy by design in new technologies: lessons learned, design patterns and anti-patterns;
  • Privacy enhancing technologies (PETs);
  • Privacy or data protection-aware findable, accessible, interoperable, and reusable (FAIR) data management;
  • Privacy-preserving machine learning;
  • Risk assessment and governance for privacy and data protection;
  • Standards and standardization relevant to privacy and data protection;
  • Systems and methods for compliance with privacy and data protection regulations;
  • The role of fairness, accountability and trust (FAccT) for privacy and data protection;
  • Trust and transparency for data protection and privacy;
  • Vocabularies, ontologies, and other forms of information resources for data protection and privacy.

Dr. Harshvardhan J. Pandit
Dr. Rob Brennan
Dr. Victor Rodriguez Doncel
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • data protection
  • information systems
  • privacy
  • semantic web
  • AI techniques
  • IoT
  • decentralised web
  • knowledge graphs

Published Papers

This special issue is now open for submission.
Back to TopTop