Analysis, interpretation and validation of open source data

GIBSON, Helen, RAMWELL, Steve and DAY, Tony (2017). Analysis, interpretation and validation of open source data. In: AKHGAR, Babak, BAYERL, Petra S. and SAMPSON, Fraser, (eds.) Open source intelligence investigation: from strategy to implementation. Advanced sciences and technologies for security applications . Cham, Springer International Publishing, 95-110.

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Official URL: http://link.springer.com/chapter/10.1007%2F978-3-3...
Link to published version:: 10.1007/978-3-319-47671-1_7

Abstract

A key component for turning open source data and information into open source intelligence occurs during the analysis and interpretation stages. In addition, verification and validation stages can turn this OSINT into validated OSINT, which has a higher degree of credibility. Due to the wide range of data types that can be extracted from open information sources, the types of data analysis that can be performed on this data is specific to the type of data that we have. This chapter presents a set of analysis processes that can be used when encountering specific types of data regardless of what that data is concerning. These methods will assist an open source investigator in getting the most from their data as well as preparing it for further analysis using visualisation and visual analytics techniques for exploration and presentation.

Item Type: Book Section
Additional Information: Series ISSN: 1613-5113
Research Institute, Centre or Group: Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
Departments: Arts, Computing, Engineering and Sciences > Computing
Identification Number: 10.1007/978-3-319-47671-1_7
Depositing User: Helen Gibson
Date Deposited: 18 Jan 2017 10:23
Last Modified: 13 Jun 2017 13:56
URI: http://shura.shu.ac.uk/id/eprint/14726

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