The dataset focuses on a real-world use case from a geriatric center where elderly adults reside.
This dataset is used to test the PrODUCE mechanism, designed to compose privacy policies by performing federated queries on personal data.
Nature and Content of the Dataset The data corresponds to the personal and health information generated by the residents of the institution: Vital Signs: Includes measurements of temperature, blood pressure, pulse, and weight.
Daily Activities and Care: Records of meals, medications administered, anomalies detected, and comments made by caregivers.
Digital Resources: Information about residents' daily activities stored in files (e.g., Digitalresources.n3 or Resident1PersonalData.n3).
Data Structure and Management Distributed Storage: Personal data is stored in a distributed system where each senior citizen has their own storage system and personal endpoint.
Policy Protection: Each dataset is linked to personal privacy policies defined by the grantor (the resident), which specify who can access the data (doctors, researchers, etc.) and for what purposes (medical, scientific, monitoring).
Format: The data and policies are represented using Semantic Web technologies (such as RDF/N3 and the PriLoo ontology) to facilitate automated processing.
The dataset is used to demonstrate how the system manages access in two situations:
Medical Scenario: A doctor checks the vital signs (blood pressure) of residents with hypertension for their bi-weekly check-up.
Scientific Scenario: Researchers collect data on a group of residents to evaluate the effects of a specific medication.
This dataset is fundamental to the study to show how the individual policies of each resident can be combined into a composite policy that governs the outcome of a consultation involving multiple subjects
References:
@inproceedings{soto2015policies, title={Policies composition based on data usage context}, author={Soto-Mendoza, Valeria and Serrano-Alvarado, Patricia and Desmontils, Emmanuel and Garc{'\i}a-Mac{'\i}as, Jos{'e}-Antonio}, booktitle={Sixth International Workshop on Consuming Linked Data (COLD2015) at ISWC}, year={2015} }