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Data management

About: Data management is a research topic. Over the lifetime, 31574 publications have been published within this topic receiving 424326 citations.


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TL;DR: This paper focuses on solving the k-nearest neighbor (kNN) query problem over encrypted database outsourced to a cloud: a user issues an encrypted query record to the cloud, and the cloud returns the k closest records to the user.
Abstract: For the past decade, query processing on relational data has been studied extensively, and many theoretical and practical solutions to query processing have been proposed under various scenarios. With the recent popularity of cloud computing, users now have the opportunity to outsource their data as well as the data management tasks to the cloud. However, due to the rise of various privacy issues, sensitive data (e.g., medical records) need to be encrypted before outsourcing to the cloud. In addition, query processing tasks should be handled by the cloud; otherwise, there would be no point to outsource the data at the first place. To process queries over encrypted data without the cloud ever decrypting the data is a very challenging task. In this paper, we focus on solving the k-nearest neighbor (kNN) query problem over encrypted database outsourced to a cloud: a user issues an encrypted query record to the cloud, and the cloud returns the k closest records to the user. We first present a basic scheme and demonstrate that such a naive solution is not secure. To provide better security, we propose a secure kNN protocol that protects the confidentiality of the data, user's input query, and data access patterns. Also, we empirically analyze the efficiency of our protocols through various experiments. These results indicate that our secure protocol is very efficient on the user end, and this lightweight scheme allows a user to use any mobile device to perform the kNN query.

250 citations

Patent
10 Oct 2007
TL;DR: A diabetes data management system selects variable parameters and one or more devices with data that are utilized in a report as discussed by the authors, and analyzes data during a selected period, including carbohydrate, insulin, and glucose data, around and during meal events and other user defined events.
Abstract: A diabetes data management system selects variable parameters and one or more devices with data that are utilized in a report. The diabetes data management system analyzes data during a selected period. The system generates reports which highlight data from one or more device during the selected period including carbohydrate, insulin, and glucose data, reports which highlight data around and during meal events and other user- defined events, reports which overlay multiple data based on time of day and other factors, and automatically prepared logbook reports.

249 citations

Journal ArticleDOI
TL;DR: In this paper, an integrated view of quality and knowledge using Nonaka's theory of knowledge creation is proposed to illuminate how quality practices can lead to knowledge creation and retention, and the knowledge perspective also provides insight into what it means to effectively deploy quality management practices.

248 citations

Proceedings Article
01 Jan 2017
TL;DR: A framework on managing and sharing EMR data for cancer patient care using blockchain to significantly reduce the turnaround time for EMR sharing, improve decision making for medical care, and reduce the overall cost is proposed.
Abstract: Electronic medical records (EMRs) are critical, highly sensitive private information in healthcare, and need to be frequently shared among peers. Blockchain provides a shared, immutable and transparent history of all the transactions to build applications with trust, accountability and transparency. This provides a unique opportunity to develop a secure and trustable EMR data management and sharing system using blockchain. In this paper, we present our perspectives on blockchain based healthcare data management, in particular, for EMR data sharing between healthcare providers and for research studies. We propose a framework on managing and sharing EMR data for cancer patient care. In collaboration with Stony Brook University Hospital, we implemented our framework in a prototype that ensures privacy, security, availability, and fine-grained access control over EMR data. The proposed work can significantly reduce the turnaround time for EMR sharing, improve decision making for medical care, and reduce the overall cost.

247 citations

Patent
10 Feb 2004
TL;DR: In this article, a data management system for displaying a data table having a plurality of rows and columns of data cells is presented, each of the columns in the data table has an associated filter cell whereby the user may input filter criteria.
Abstract: System and method for filtering and sorting data. The system includes data management system for displaying a data table having a plurality of rows and columns of data cells. Each of the columns in the data table has an associated filter cell whereby the user may input filter criteria. In response to receiving the filter criteria in the filter cells, a data management system filters and sorts each of the data cells in the data table. In one embodiment of the invention, the data management system records the order in which the user inputs the filter criteria and generates a sorting priority list that defines a sorting priority for the data cells. The data management system sorts the data cells using the sorting priority list. Furthermore, in one embodiment of the invention, the data management system displays the data cells that satisfy the filter criteria contiguously and interleaved between those data cells that do not satisfy the filter criteria.

242 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023218
2022485
2021959
20201,435
20191,745
20181,719