The state of the art in distributed query processing
ACM Computing Surveys (CSUR)
Chord: A scalable peer-to-peer lookup service for internet applications
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
Pastry: Scalable, Decentralized Object Location, and Routing for Large-Scale Peer-to-Peer Systems
Middleware '01 Proceedings of the IFIP/ACM International Conference on Distributed Systems Platforms Heidelberg
Locating data sources in large distributed systems
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
XRPC: interoperable and efficient distributed XQuery
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
DXQ: a distributed XQuery scripting language
XIME-P '07 Proceedings of the 4th international workshop on XQuery implementation, experience and perspectives
XTreeNet: democratic community search
Proceedings of the VLDB Endowment
XML processing in DHT networks
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
An Internet-Scale Service for Publishing and Locating XML Documents
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
Locating XML Documents in a Peer-to-Peer Network Using Distributed Hash Tables
IEEE Transactions on Knowledge and Data Engineering
Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
A new tool for sharing and querying of clinical documents modeled using HL7 Version 3 standard
Computer Methods and Programs in Biomedicine
The VLDB Journal — The International Journal on Very Large Data Bases
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The rising cost of healthcare is one of the major concerns faced by the nation. One way to lower healthcare costs and provide better quality care to patients is through the effective use of Information Technology (IT). Data sharing and collaboration and large-scale management of healthcare data have been identified as important IT challenges to advance the nation's healthcare system. In this paper, we present an overview of the software framework called CDN (Collaborative Data Network) that we are developing for large-scale sharing of electronic health records (EHR). In this on-going effort, we focus on sharing EHRs of cancer patients. Cancer is the second leading cause of deaths in the US. CDN is based on the synergistic combination of peer-to-peer technology and the extensible markup language XML and XQuery. We outline the key challenges that arise when sharing evolving, heterogeneous repositories and processing queries across multiple repositories. We present the novel architecture of CDN to overcome these challenges and discuss our plan for implementation, evaluation, and deployment.