scholarly journals Research on Heterogeneous Data Sharing Based on Ontology

2012 ◽  
Author(s):  
Guozeng Zhao ◽  
Guoqiang Ding
Keyword(s):  
Data Sharing ◽  
Heterogeneous Data

A Data Sharing Model of Minority Multidisciplinary Data Based on WebGIS

2014 ◽  
Vol 513-517 ◽  
pp. 2224-2227 ◽  
Author(s):  
Yi Zhang ◽  
Yu Weng
Keyword(s):  
Data Sharing ◽  
Spatial Data ◽  
Heterogeneous Data ◽  
Heterogeneous Databases ◽  
Management Systems ◽  
Data Display ◽  
Data Management Systems ◽  
Multidisciplinary Data ◽  
Unified View ◽  
Multiple Field

With the multiple field databases resources to be enriched, users hope to access and use these databases freely and comprehensively. But phased establishment of application and particularity of Application results in inconsistent application platform and heterogeneous data management systems . To make users access databases transparently, the data Integration of heterogeneous databases is the problems being solved. The paper proposes a model of data sharing providing the user with a unified view and establishes webGIS service, making the multidisciplinary and spatial data display validly and solidly.

A New Proxy Server of CHIS Based on Caché

2011 ◽  
Vol 65 ◽  
pp. 427-430
Author(s):  
Guang Ming Li ◽  
Gai Hong Lian ◽  
Zhen Qi He
Keyword(s):  
Health Information ◽  
Data Sharing ◽  
Data Model ◽  
Data Access ◽  
Health Information Systems ◽  
Heterogeneous Data ◽  
Proxy Server ◽  
Common Solution ◽  
The Core ◽  
The Common

The data accessing technology is the core and foundation technology of the community health information systems. In the process of designing the system, the relational database compared with the Caché database from the data model, extensibility, scalability, etc. Study the associated technology about the heterogeneous data sharing with the Caché database. After analyzed the common solution of heterogeneous data sharing then the paper proposed a new data sharing solution, which design a middle proxy server. With the middle proxy, the implementation class completed the uploading and sharing of data access and other functions.

scholarly journals CrowdMed-II: a blockchain-based framework for efficient consent management in health data sharing

2022 ◽  
Author(s):  
Chaochen Hu ◽  
Chao Li ◽  
Guigang Zhang ◽  
Zhiwei Lei ◽  
Mira Shah ◽  
...  
Keyword(s):  
Data Sharing ◽  
Service Providers ◽  
Heterogeneous Data ◽  
Health Data ◽  
Smart Contracts ◽  
Management Framework ◽  
Execution Costs ◽  
Traditional Health ◽  
Centralized Management ◽  
Health Service Providers

AbstractThe healthcare industry faces serious problems with health data. Firstly, health data is fragmented and its quality needs to be improved. Data fragmentation means that it is difficult to integrate the patient data stored by multiple health service providers. The quality of these heterogeneous data also needs to be improved for better utilization. Secondly, data sharing among patients, healthcare service providers and medical researchers is inadequate. Thirdly, while sharing health data, patients’ right to privacy must be protected, and patients should have authority over who can access their data. In traditional health data sharing system, because of centralized management, data can easily be stolen, manipulated. These systems also ignore patient’s authority and privacy. Researchers have proposed some blockchain-based health data sharing solutions where blockchain is used for consensus management. Blockchain enables multiple parties who do not fully trust each other to exchange their data. However, the practice of smart contracts supporting these solutions has not been studied in detail. We propose CrowdMed-II, a health data management framework based on blockchain, which could address the above-mentioned problems of health data. We study the design of major smart contracts in our framework and propose two smart contract structures. We also introduce a novel search contract for searching patients in the framework. We evaluate their efficiency based on the execution costs on Ethereum. Our design improves on those previously proposed, lowering the computational costs of the framework. This allows the framework to operate at scale and is more feasible for widespread adoption.

scholarly journals CanDIG: Secure Federated Genomic Queries and Analyses Across Jurisdictions

2021 ◽  
Author(s):  
Lewis Jonathan Dursi ◽  
Zoltan Bozoky ◽  
Richard de Borja ◽  
Jimmy Li ◽  
David Bujold ◽  
...  
Keyword(s):  
Data Sharing ◽  
Critical Mass ◽  
Heterogeneous Data ◽  
Health Data ◽  
Large Datasets ◽  
Security Requirements ◽  
Precision Oncology ◽  
Omics Data ◽  
Data Types ◽  
Privacy And Security

Rapid expansions of bioinformatics and computational biology have broadened the collection and use of -omics data including genomic, transcriptomic, methylomic and a myriad of other health data types, in the clinic and the laboratory. Both clinical and research uses of such data require co-analysis with large datasets, for which participant privacy and the need for data custodian controls must remain paramount. This is particularly challenging in multi-jurisdictional settings, such as Canada, where health privacy and security requirements are often heterogeneous. Data federation presents a solution to this, allowing for integration and analysis of large datasets from various sites while abiding by local policies. The Canadian Distributed Infrastructure for Genomics platform (CanDIG) enables federated querying and analysis of -omics and health data while keeping that data local and under local control. It builds upon existing infrastructures to connect five health and research institutions across Canada, relies heavily on standards and tooling brought together by the Global Alliance for Genomics and Health (GA4GH), implements a clear division of responsibilities among its participants and adheres to international data sharing standards. Participating researchers and clinicians can therefore contribute to and quickly access a critical mass of -omics data across a national network in a manner that takes into account the multi-jurisdictional nature of our privacy and security policies. Through this, CanDIG gives medical and research communities the tools needed to use and analyze the ever-growing amount of -omics data available to them in order to improve our understanding and treatment of various conditions and diseases. CanDIG is being used to make genomic and phenotypic data available for querying across Canada as part of data sharing for five leading pan-Canadian projects including the Terry Fox Comprehensive Cancer Care Centre Consortium Network (TF4CN) and Terry Fox PRecision Oncology For Young peopLE (PROFYLE), and making data from provincial projects such as POG (Personalized Onco-Genomics) more widely available.

Secure Heterogeneous Data Sharing Using Blockchain

2020 ◽  
pp. 61-80
Author(s):  
Meng Shen ◽  
Liehuang Zhu ◽  
Ke Xu
Keyword(s):  
Data Sharing ◽  
Heterogeneous Data

scholarly journals Towards a Semantic Data Harmonization Federated Infrastructure

2021 ◽  
Author(s):  
Catalina Martinez-Costa ◽  
Francisco Abad-Navarro
Keyword(s):  
Data Integration ◽  
Data Sharing ◽  
Medical Informatics ◽  
Data Representation ◽  
Heterogeneous Data ◽  
Common Data Model ◽  
Snomed Ct ◽  
Data Harmonization ◽  
Semantic Data ◽  
Upper Level

Data integration is an increasing need in medical informatics projects like the EU Precise4Q project, in which multidisciplinary semantically and syntactically heterogeneous data across several institutions needs to be integrated. Besides, data sharing agreements often allow a virtual data integration only, because data cannot leave the source repository. We propose a data harmonization infrastructure in which data is virtually integrated by sharing a semantically rich common data representation that allows their homogeneous querying. This common data model integrates content from well-known biomedical ontologies like SNOMED CT by using the BTL2 upper level ontology, and is imported into a graph database. We successfully integrated three datasets and made some test queries showing the feasibility of the approach.

AN OPEN SERVICE ARCHITECTURE FOR THE HYPERION PEER DATABASE SYSTEM

2008 ◽  
Vol 17 (01) ◽  
pp. 53-75
Author(s):  
TASMEIA YOUSAF ◽  
ILUJU KIRINGA ◽  
LEI JIANG
Keyword(s):  
Web Service ◽  
Data Sharing ◽  
Heterogeneous Data ◽  
Performance Comparison ◽  
Centralized Control ◽  
Service Architecture ◽  
Service Oriented Architectures ◽  
Heterogeneous Data Sources ◽  
Service Oriented ◽  
Open Service

The need for data sharing across heterogeneous data sources is growing. Peer Database Management Systems (PDBMSs) offer one data sharing approach, which favors a direct and dynamic node-to-node model of communication with no centralized control. Moreover, Service Oriented Architectures (SOA) using Web service technologies allow users to leverage existing assets towards the goal of building new architectures and integrating existing systems that can be componentized. We propose an Open Service Architecture for PDBMSs (OSAP). This architecture offers the main services of a PDBMS as Web services that are invoked via the communication network using a set of well-defined interfaces. This approach provides power and flexibility in terms of development and usage of the system. We have implemented this architecture within the Hyperion PDBMS infrastructure. We provide an analysis of the implementation of the OSAP architecture in terms of its characteristics. We also conduct a performance comparison with both the original Hyperion architecture, and a much simpler architecture that hides all the internal functionalities offered by a PDBMS as private processes that can be used by other peers only through one single web service which acts as peer manager.

Collaborative Work Heterogeneous Data Sharing and Application Based on Petri Net

2011 ◽  
Vol 421 ◽  
pp. 732-738 ◽  
Author(s):  
Yong Ping Hao ◽  
Hao Qiu Huang ◽  
Peng Fei Zeng ◽  
Wei Ping Shao
Keyword(s):  
Data Sharing ◽  
Petri Net ◽  
Collaborative Design ◽  
Management System ◽  
Collaborative Work ◽  
Heterogeneous Data ◽  
Modeling Processes ◽  
Design Management

Based on profound research of the characters on Petri Net, the concept of collaborative work heterogeneous data sharing (CWHDS) was proposed, and elaborated the modeling processes of CWHDS based on Petri Net. Furthermore, this paper used heterogeneous data queue to serve as the access station of CWHDS, and further discussed the translation and firing rule on Petri Net in relation to heterogeneous data queue. Finally, an application instance of multi-disciplinary collaborative design management system (MCDMS) based on CWHDS was introduced.

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