The linked medical data access control framework
نویسندگان
چکیده
منابع مشابه
The linked medical data access control framework
The integration of medical data coming from multiple sources is important in clinical research. Amongst others, it enables the discovery of appropriate subjects in patient-oriented research and the identification of innovative results in epidemiological studies. At the same time, the integration of medical data faces significant ethical and legal challenges that impose access constraints. Some ...
متن کاملAn Access Control Model for Linked Data
Linked Open Data refers to a set of best practices for the publication and interlinking of structured data on the Web in order to create a global interconnected data space called Web of Data. To ensure the resources featured in a dataset are richly described and, at the same time, protected against malicious users, we need to specify the conditions under which a dataset is accessible. Being abl...
متن کاملAccess Control in Linked Data Using WebID
Linked Data technologies become increasingly important in many domains. Key factors for their breakthrough are security and trust. Classical means for access control lack granularity when parts of the Linked Data graph must be protected. The WebID, combining semantic web concepts with methods from certificate based authentication and authorization, seems promising to fulfill all requirements co...
متن کاملAccess Control for HTTP Operations on Linked Data
Access control is a recognized open issue when interacting with RDF using HTTP methods. In literature, authentication and authorization mechanisms either introduce undesired complexity such as SPARQL and ad-hoc policy languages, or rely on basic access control lists, thus resulting in limited policy expressiveness. In this paper we show how the Shi3ld attribute-based authorization framework for...
متن کاملAccess Control Enforcement for Selective Disclosure of Linked Data
The Semantic Web technologies enable Web-scaled data linking between large RDF repositories. However, it happens that organizations cannot publish their whole datasets but only some subsets of them, due to ethical, legal or confidentiality considerations. Different user profiles may have access to different authorized subsets. In this case, selective disclosure appears as a promising incentive ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Biomedical Informatics
سال: 2014
ISSN: 1532-0464
DOI: 10.1016/j.jbi.2014.03.002