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Privacy-aware data-intensive applications
2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE), 2017The rise of Big Data is leading to an increasing demand for data-intensive applications (DIAs), which, in many cases, are expected to process massive amounts of sensitive data. In this context, ensuring data privacy becomes paramount. While the way we design and develop DIAs has radically changed over the last few years in order to deal with Big Data ...
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Data Management Planning - NERC Funding Applicants
2018Date 2 September 2015 (original 15 July 2013)Version 1-3 This document is an adaptation of a document produced by the data.bris team at the University of Bristol, whose permission to adapt the document is gratefully acknowledged.This legacy document reflects the research data management guidelines for NERC.Created as part of the JISCMRD Programme (2011-
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2011
Most business database-centric applications generally function in the same manner. An application is built around a table, say a Customer table. An end user needs to add new data to this table (in this case, a new customer record). He or she also needs to modify existing data and delete customer records from this table.
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Most business database-centric applications generally function in the same manner. An application is built around a table, say a Customer table. An end user needs to add new data to this table (in this case, a new customer record). He or she also needs to modify existing data and delete customer records from this table.
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An overview of real‐world data sources for oncology and considerations for research
Ca-A Cancer Journal for Clinicians, 2022Lynne Penberthy +2 more
exaly
Innovations in research and clinical care using patient‐generated health data
Ca-A Cancer Journal for Clinicians, 2020H S L Jim +2 more
exaly
Data Standardization Applications—Capturing Data
2019Lisa M Blair, Lynda Hardy
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Big Multimodal Data Analysis: Applications
Big Data, 2022Gwanggil Jeon +3 more
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