Data Collection, Presentation and Analysis
- First Online: 25 May 2023
Cite this chapter
- Uche M. Mbanaso 4 ,
- Lucienne Abrahams 5 &
- Kennedy Chinedu Okafor 6
953 Accesses
This chapter covers the topics of data collection, data presentation and data analysis. It gives attention to data collection for studies based on experiments, on data derived from existing published or unpublished data sets, on observation, on simulation and digital twins, on surveys, on interviews and on focus group discussions. One of the interesting features of this chapter is the section dealing with using measurement scales in quantitative research, including nominal scales, ordinal scales, interval scales and ratio scales. It explains key facets of qualitative research including ethical clearance requirements. The chapter discusses the importance of data visualization as key to effective presentation of data, including tabular forms, graphical forms and visual charts such as those generated by Atlas.ti analytical software.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Subscribe and save.
- Get 10 units per month
- Download Article/Chapter or eBook
- 1 Unit = 1 Article or 1 Chapter
- Cancel anytime
- Available as EPUB and PDF
- Read on any device
- Instant download
- Own it forever
- Compact, lightweight edition
- Dispatched in 3 to 5 business days
- Free shipping worldwide - see info
- Durable hardcover edition
Tax calculation will be finalised at checkout
Purchases are for personal use only
Institutional subscriptions
Bibliography
Abdullah, M. F., & Ahmad, K. (2013). The mapping process of unstructured data to structured data. Proceedings of the 2013 International Conference on Research and Innovation in Information Systems (ICRIIS) , Malaysia , 151–155. https://doi.org/10.1109/ICRIIS.2013.6716700
Adnan, K., & Akbar, R. (2019). An analytical study of information extraction from unstructured and multidimensional big data. Journal of Big Data, 6 , 91. https://doi.org/10.1186/s40537-019-0254-8
Article Google Scholar
Alsheref, F. K., & Fattoh, I. E. (2020). Medical text annotation tool based on IBM Watson Platform. Proceedings of the 2020 6th international conference on advanced computing and communication systems (ICACCS) , India , 1312–1316. https://doi.org/10.1109/ICACCS48705.2020.9074309
Cinque, M., Cotroneo, D., Della Corte, R., & Pecchia, A. (2014). What logs should you look at when an application fails? Insights from an industrial case study. Proceedings of the 2014 44th Annual IEEE/IFIP International Conference on Dependable Systems and Networks , USA , 690–695. https://doi.org/10.1109/DSN.2014.69
Gideon, L. (Ed.). (2012). Handbook of survey methodology for the social sciences . Springer.
Google Scholar
Leedy, P., & Ormrod, J. (2015). Practical research planning and design (12th ed.). Pearson Education.
Madaan, A., Wang, X., Hall, W., & Tiropanis, T. (2018). Observing data in IoT worlds: What and how to observe? In Living in the Internet of Things: Cybersecurity of the IoT – 2018 (pp. 1–7). https://doi.org/10.1049/cp.2018.0032
Chapter Google Scholar
Mahajan, P., & Naik, C. (2019). Development of integrated IoT and machine learning based data collection and analysis system for the effective prediction of agricultural residue/biomass availability to regenerate clean energy. Proceedings of the 2019 9th International Conference on Emerging Trends in Engineering and Technology – Signal and Information Processing (ICETET-SIP-19) , India , 1–5. https://doi.org/10.1109/ICETET-SIP-1946815.2019.9092156 .
Mahmud, M. S., Huang, J. Z., Salloum, S., Emara, T. Z., & Sadatdiynov, K. (2020). A survey of data partitioning and sampling methods to support big data analysis. Big Data Mining and Analytics, 3 (2), 85–101. https://doi.org/10.26599/BDMA.2019.9020015
Miswar, S., & Kurniawan, N. B. (2018). A systematic literature review on survey data collection system. Proceedings of the 2018 International Conference on Information Technology Systems and Innovation (ICITSI) , Indonesia , 177–181. https://doi.org/10.1109/ICITSI.2018.8696036
Mosina, C. (2020). Understanding the diffusion of the internet: Redesigning the global diffusion of the internet framework (Research report, Master of Arts in ICT Policy and Regulation). LINK Centre, University of the Witwatersrand. https://hdl.handle.net/10539/30723
Nkamisa, S. (2021). Investigating the integration of drone management systems to create an enabling remote piloted aircraft regulatory environment in South Africa (Research report, Master of Arts in ICT Policy and Regulation). LINK Centre, University of the Witwatersrand. https://hdl.handle.net/10539/33883
QuestionPro. (2020). Survey research: Definition, examples and methods . https://www.questionpro.com/article/survey-research.html
Rajanikanth, J. & Kanth, T. V. R. (2017). An explorative data analysis on Bangalore City Weather with hybrid data mining techniques using R. Proceedings of the 2017 International Conference on Current Trends in Computer, Electrical, Electronics and Communication (CTCEEC) , India , 1121-1125. https://doi/10.1109/CTCEEC.2017.8455008
Rao, R. (2003). From unstructured data to actionable intelligence. IT Professional, 5 , 29–35. https://www.researchgate.net/publication/3426648_From_Unstructured_Data_to_Actionable_Intelligence
Schulze, P. (2009). Design of the research instrument. In P. Schulze (Ed.), Balancing exploitation and exploration: Organizational antecedents and performance effects of innovation strategies (pp. 116–141). Gabler. https://doi.org/10.1007/978-3-8349-8397-8_6
Usanov, A. (2015). Assessing cybersecurity: A meta-analysis of threats, trends and responses to cyber attacks . The Hague Centre for Strategic Studies. https://www.researchgate.net/publication/319677972_Assessing_Cyber_Security_A_Meta-analysis_of_Threats_Trends_and_Responses_to_Cyber_Attacks
Van de Kaa, G., De Vries, H. J., van Heck, E., & van den Ende, J. (2007). The emergence of standards: A meta-analysis. Proceedings of the 2007 40th Annual Hawaii International Conference on Systems Science (HICSS’07) , USA , 173a–173a. https://doi.org/10.1109/HICSS.2007.529
Download references
Author information
Authors and affiliations.
Centre for Cybersecurity Studies, Nasarawa State University, Keffi, Nigeria
Uche M. Mbanaso
LINK Centre, University of the Witwatersrand, Johannesburg, South Africa
Lucienne Abrahams
Department of Mechatronics Engineering, Federal University of Technology, Owerri, Nigeria
Kennedy Chinedu Okafor
You can also search for this author in PubMed Google Scholar
Rights and permissions
Reprints and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Mbanaso, U.M., Abrahams, L., Okafor, K.C. (2023). Data Collection, Presentation and Analysis. In: Research Techniques for Computer Science, Information Systems and Cybersecurity. Springer, Cham. https://doi.org/10.1007/978-3-031-30031-8_7
Download citation
DOI : https://doi.org/10.1007/978-3-031-30031-8_7
Published : 25 May 2023
Publisher Name : Springer, Cham
Print ISBN : 978-3-031-30030-1
Online ISBN : 978-3-031-30031-8
eBook Packages : Engineering Engineering (R0)
Share this chapter
Anyone you share the following link with will be able to read this content:
Sorry, a shareable link is not currently available for this article.
Provided by the Springer Nature SharedIt content-sharing initiative
- Publish with us
Policies and ethics
- Find a journal
- Track your research
IMAGES
VIDEO