The Paradox of Police Data

Wood, Stacy

doi:10.5334/kula.34

Cited by 2 publications

(1 citation statement)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The resulting (meta)data would still demand data sharing and provenance tracking, but in a much more restricted fashion (see e.g. [7] for discussion of the data-centric world of law enforcement agencies and resulting issues with data sharing).…”

Section: Introductionmentioning

confidence: 99%

Ontology-based Access Control for FAIR Data

et al. 2020

View full text Add to dashboard Cite

This paper focuses on fine-grained, secure access to FAIR data, for which we propose ontology-based data access policies. These policies take into account both the FAIR aspects of the data relevant to access (such as provenance and licence), expressed as metadata, and additional metadata describing users. With this tripartite approach (data, associated metadata expressing FAIR information, and additional metadata about users), secure and controlled access to object data can be obtained. This yields a security dimension to the “A” (accessible) in FAIR, which is clearly needed in domains like security and intelligence. These domains need data to be shared under tight controls, with widely varying individual access rights. In this paper, we propose an approach called Ontology-Based Access Control (OBAC), which utilizes concepts and relations from a data set's domain ontology. We argue that ontology-based access policies contribute to data reusability and can be reconciled with privacy-aware data access policies. We illustrate our OBAC approach through a proof-of-concept and propose that OBAC to be adopted as a best practice for access management of FAIR data.

show abstract

Section: Introductionmentioning

confidence: 99%