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World Wide ResearchReshaping the Sciences and Humanities$
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William H. Dutton and Paul W. Jeffreys

Print publication date: 2010

Print ISBN-13: 9780262014397

Published to MIT Press Scholarship Online: August 2013

DOI: 10.7551/mitpress/9780262014397.001.0001

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PRINTED FROM MIT PRESS SCHOLARSHIP ONLINE (www.mitpress.universitypressscholarship.com). (c) Copyright The MIT Press, 2022. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in MITSO for personal use.date: 29 June 2022

Key Digital Technologies to Deal with Data

Key Digital Technologies to Deal with Data

(p.107) 4 Key Digital Technologies to Deal with Data
World Wide Research

Yorick Wilks

Matthijs den Besten

The MIT Press

This chapter focuses on the key technologies and data management approaches that can help researchers cope with information overload, and examines major challenges for e-Research such as the escalating quantity of data and the level of human intervention required to deal with them. It also looks at information retrieval and artificial intelligence, and discusses embedded sensor networks based on electronic sensors and devices in the environment that are linked by wireless networks to collect enormous amounts of data. In addition, the chapter explores some of the techniques being developed for identifying and managing digital objects, presents examples of digital object identifiers, and considers the use of the Semantic Web in e-Research.

Keywords:   data management, information overload, e-Research, information retrieval, artificial intelligence, sensor networks, digital objects, digital object identifiers, Semantic Web, wireless networks

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