Data access

About: Data access is a research topic. Over the lifetime, 13141 publications have been published within this topic receiving 172859 citations. The topic is also known as: Data access.

Ensuring Privacy and Security in E- Health Records

Abstract: Mobile medicine and health care have been adopted on a very large scale with support from the influx of medical devices and increased usability of remote health services. These are combined with an approachable interest of the patients and a readily approachable conscience about their healthcare. This leads to a huge set of medical data. These data sets require secure transfer, archival and access. In this study, we have proposed an efficient approach to preserve the identity and also protect the privacy of clinical data using highly effective encryption scheme. Moreover, we have also discussed an authorization framework using access of varying degrees. Medical records are often accessed by various entities with varying degrees of authorization. In this study, we have implemented the AT&T scheme for managing the access control mechanism of patients data. Further, encryption is undertaken using ARCANA, that provides hierarchically satisfied access to various data resources. It utilizes the XACML access model to formulate the access control framework. The primary reason for using this model is the regulation to access the data through AT&T based on XACML policies. In addition to this, the encrypting of medical data using various authorization techniques have been required for the proper data access regulation. Which may impact trust of the users in the e-health paradigm and in turn increase the large-scale usability.

Intelligent pre-caching algorithm for a directory server based on user data access history

Abstract: A caching mechanism for a directory service having a backing store. According to the invention, directory search results are cached over a given data capture period, with the information then being used by a data analysis routine to generate a data access history for the user for a particular application. That history is then used to generate a recommended pre-fetch time, a filter key for the pre-fetch, and a preferred cache replacement policy (e.g., static or LRU). Based on that information, a control routine pre-fetches and populates the cache with information that is expected to be needed by the user as a result of that access history.

OptiqueVQS: a Visual Query System over Ontologies for Industry

Abstract: An important application of semantic technologies in industry has been the formalisation of information models using OWL 2 ontologies and the use of RDF for storing and exchanging application data. Moreover, legacy data can be virtualised as RDF using ontologies following the ontology-based data access (OBDA) approach. In all these applications, it is important to provide domain experts with query formulation tools for expressing their information needs in terms of queries over ontologies. In this work, we present such a tool, OptiqueVQS, which is designed based on our experience with OBDA applications in Statoil and Siemens and on best HCI practices for interdisciplinary engineering environments. OptiqueVQS implements a number of unique techniques distinguishing it from analogous query formulation systems. In particular, it exploits ontology projection techniques to enable graph-based navigation over an ontology during query construction. Secondly, while OptiqueVQS is primarily ontology driven, it exploits sampled data to enhance selection of data values for some data attributes. Finally, OptiqueVQS is built on well-grounded requirements, design rationale, and quality attributes. We evaluated OptiqueVQS with both domain experts and casual users and qualitatively compared our system against prominent visual systems for ontology-driven query formulation and exploration of semantic data. OptiqueVQS is available online and can be downloaded together with an example OBDA scenario.

Cooperative Caching for Efficient Data Access in Disruption Tolerant Networks

Abstract: Disruption tolerant networks (DTNs) are characterized by low node density, unpredictable node mobility, and lack of global network information. Most of current research efforts in DTNs focus on data forwarding, but only limited work has been done on providing efficient data access to mobile users. In this paper, we propose a novel approach to support cooperative caching in DTNs, which enables the sharing and coordination of cached data among multiple nodes and reduces data access delay. Our basic idea is to intentionally cache data at a set of network central locations (NCLs), which can be easily accessed by other nodes in the network. We propose an efficient scheme that ensures appropriate NCL selection based on a probabilistic selection metric and coordinates multiple caching nodes to optimize the tradeoff between data accessibility and caching overhead. Extensive trace-driven simulations show that our approach significantly improves data access performance compared to existing schemes.

A Ledger of Me: Personalizing Healthcare Using Blockchain Technology

Abstract: Personal Health Records (PHRs) have the potential to give patients fine-grained, personalized and secure access to their own medical data and to enable self-management of care. Emergent trends around the use of Blockchain, or Distributed Ledger Technology, seem to offer solutions to some of the problems faced in enabling these technologies, especially to support issues consent, data exchange, and data access. We present an analysis of existing blockchain-based health record solutions and a reference architecture for a "Ledger of Me" system that extends PHR to create a new platform combining the collection and access of medical data and digital interventions with smart contracts. Our intention is to enable patient use of the data in order to support their care and to provide a strong consent mechanisms for sharing of data between different organizations and apps. Ledger of Me is based on around the principle that this combination of event-driven smart contracts, medical record data, and patient control is important for the adoption of blockchain-based solutions for the PHR. The reference architecture we present can serve as the basis of a range of future blockchain-based medical application architectures.