Heleen L Janssen
Biographic Data
| ID | 9522745 |
|---|---|
| NAME | Heleen L Janssen |
| GIVEN NAMES | Heleen L |
| FAMILY NAME | Janssen |
| SIGNATURE | JANSSEN H L |
| AFFILIATIONS | University of Amsterdam |
| ORCID | 0000-0002-2785-5741 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Best practices for studies using digital data donation
Digital trace data form a rich, growing source of data for social sciences and humanities. Data donation offers an innovative and ethical approach to collect these digital trace data. In data donation studies, participants request a copy of the digital trace data a data controller (e.g., large digital social media or video platforms) collected about them. The European Union’s General Data Protection Regulation obliges platforms to provide such a …
Fulfilling data access obligations
Research into digital platforms has become increasingly difficult. One way to overcome these difficulties is to build on data access rights in EU data protection law, which requires platforms to offer users a copy of their data. In data donation studies, researchers ask study participants to exercise this right and donate their data to science. However, there is increasing evidence that platforms do not comply with designated laws. We first discu…
Data intermediary
Data intermediaries entail data governance measures for ensuring that data is only processed as appropriate, giving stakeholders some degree of confidence that their rights and interests are properly respected
Personal Information Management Systems
Personal Information Management Systems (PIMS) seek to empower users by equipping them with mechanisms for mediating, monitoring and controlling how their data is accessed, used, or shared
Maintaining trust in a technologized public sector
Emerging technologies permeate and potentially disrupt a wide spectrum of our social, economic, and political relations. Various state institutions, including education, law enforcement, and healthcare, increasingly rely on technical components, such as automated decision-making systems, e-government systems, and other digital tools to provide cheap, efficient public services, and supposedly fair, transparent, disinterested, and accountable publi…
Personal data ordering in context
The technological infrastructures enabling the collection, processing, and trading of data have fuelled a rapid innovation of data governance models. We differentiate between macro, meso, and micro level models, which correspond to major political blocks; societal-, industry-, or community level systems, and individual approaches, respectively. We focus on meso-level models, which coalesce around: (1) organisations prioritising their own interest…
Data protection and tech startups
Though discussions of data protection have focused on the larger, more established organisations, startups also warrant attention. This is particularly so for tech startups, who are often innovating at the ‘cutting‐edge’—pushing the boundaries of technologies that typically lack established data protection best‐practices. Initial decisions taken by startups could well have long‐term impacts, and their actions may inform (for better or for worse) …
Personal information management systems
Personal information management systems (PIMS) aka personal data stores (PDSs) represent an emerging class of technology that seeks to empower individuals regarding their data. Presented as an alternative to current ' centralised' data processing approaches, whereby user data is (rather opaquely) collected and processed by organisations, PDSs provide users with technical mechanisms for aggregating and managing their own data, determining when and…
Maintaining trust in a technologized public sector
Emerging technologies permeate and potentially disrupt a wide spectrum of our social, economic, and political relations. Various state institutions, including education, law enforcement, and healthcare, increasingly rely on technical components, such as automated decision-making systems, e-government systems, and other digital tools to provide cheap, efficient public services, and supposedly fair, transparent, disinterested, and accountable publi…
Personal information management systems
Personal information management systems (PIMS) aka personal data stores (PDSs) represent an emerging class of technology that seeks to empower individuals regarding their data. Presented as an alternative to current ' centralised' data processing approaches, whereby user data is (rather opaquely) collected and processed by organisations, PDSs provide users with technical mechanisms for aggregating and managing their own data, determining when and…
Personal data ordering in context
The technological infrastructures enabling the collection, processing, and trading of data have fuelled a rapid innovation of data governance models. We differentiate between macro, meso, and micro level models, which correspond to major political blocks; societal-, industry-, or community level systems, and individual approaches, respectively. We focus on meso-level models, which coalesce around: (1) organisations prioritising their own interest…
Data protection and tech startups
Though discussions of data protection have focused on the larger, more established organisations, startups also warrant attention. This is particularly so for tech startups, who are often innovating at the ‘cutting‐edge’—pushing the boundaries of technologies that typically lack established data protection best‐practices. Initial decisions taken by startups could well have long‐term impacts, and their actions may inform (for better or for worse) …
Data intermediary
Data intermediaries entail data governance measures for ensuring that data is only processed as appropriate, giving stakeholders some degree of confidence that their rights and interests are properly respected
Personal Information Management Systems
Personal Information Management Systems (PIMS) seek to empower users by equipping them with mechanisms for mediating, monitoring and controlling how their data is accessed, used, or shared
Maintaining trust in a technologized public sector
Emerging technologies permeate and potentially disrupt a wide spectrum of our social, economic, and political relations. Various state institutions, including education, law enforcement, and healthcare, increasingly rely on technical components, such as automated decision-making systems, e-government systems, and other digital tools to provide cheap, efficient public services, and supposedly fair, transparent, disinterested, and accountable publi…
Fulfilling data access obligations
Research into digital platforms has become increasingly difficult. One way to overcome these difficulties is to build on data access rights in EU data protection law, which requires platforms to offer users a copy of their data. In data donation studies, researchers ask study participants to exercise this right and donate their data to science. However, there is increasing evidence that platforms do not comply with designated laws. We first discu…
Best practices for studies using digital data donation
Digital trace data form a rich, growing source of data for social sciences and humanities. Data donation offers an innovative and ethical approach to collect these digital trace data. In data donation studies, participants request a copy of the digital trace data a data controller (e.g., large digital social media or video platforms) collected about them. The European Union’s General Data Protection Regulation obliges platforms to provide such a …
Computer Science (7 works) · Business (6 works) · Political science (5 works) · Privacy-Preserving Technologies in Data (5 works) · Data science (4 works) · Privacy, Security, and Data Protection (4 works) · Economics (3 works) · Internet privacy (3 works) · Computer security (2 works) · Data Protection Act 1998 (2 works)