University of Leicester
Browse

UK Environmental Observation Framework Data Advisory Group Advice Note 5: Big Data and Data from Sensors

Download (550.13 kB)
report
posted on 2018-01-10, 11:29 authored by Jonathan Tedds, Mike Brown, Phil Kershaw, Dom Lethem, Ben Wright
This paper aims to provide a broad range of the UKEOF community and partners with a brief and introductory overview of the current state-of-play of big data, including UKEOF partner use cases in environmental observation and science, and highlights some key challenges in this rapidly emerging and developing space. Classifed as being one of the ‘eight great technologies’, big data is a rapidly evolving set of concepts and approaches which includes data discovery, collection, (re)combination, mining, analytics and preservation and may be applied to very large, dynamic and complex datasets. The UKEOF Data Advisory Group highlighted that a number of partners are working in this area and that there would be a beneft to bringing their knowledge together. Though aimed at the members of the UKEOF partnership, the paper illustrates in the context of both the providers, users of data and services through relevant use cases, particular technology issues and challenges, which are applicable to the wider environmental science community.

History

Citation

UK Environmental Observation Framework Data Advisory Group Advice Notes, 2017, (5), pp. 1-6 (6)

Author affiliation

/Organisation/COLLEGE OF LIFE SCIENCES/School of Medicine/Department of Health Sciences

Version

  • VoR (Version of Record)

Published in

UK Environmental Observation Framework Data Advisory Group Advice Notes

Publisher

UK Environmental Observation Framework

Acceptance date

2017-12-08

Available date

2018-01-10

Publisher version

http://www.ukeof.org.uk/documents/data-advice-note-5

Editors

Tedds, Jonathan

Language

en

Usage metrics

    University of Leicester Publications

    Categories

    No categories selected

    Keywords

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC