• El Hacen Moulaye Ahmed Modern University of Nouakchott, Nouakchott, Mauritania



Data, Information, Types of Data, Nature of Data, Advantages and Disadvantages of Data


The current paper lays out the nature and types of data. It is underpinned by models presented in two chapters from two different books: Walliman’s (2011) “the Nature of Data” and Knight and Parsons’ (2005) “What Kind of Data Do I Need and How Do I Get Them?” The chapters are selected because they represent heuristic and representative models of the nature and types of data. Walliman’s model represented data as a fugacious and fractional sight of the events, opinions, or beliefs. Based on diverse criteria and situations, Walliman governed his typologies. Based on type of source, for example, they were described as either primary or secondary, and based on their characteristics, data can be seen as quantitative or qualitative. Knight and Parsons’ model listed only two categories, primary and secondary. In addition, they explained in depth their advantages and disadvantages which were hesitantly referred to in Walliman’s chapter. 


Coleman, L. S. (2013). Measuring Data Quality for Ongoing Improvement: A Data Quality Assessment Framework. Massachusetts: Ingenix, Inc.

Knight, P. G & Parsons, A. J. (2005). How to Do Your Dissertation in Geography and Related Disciplines. New York: Routledge.

Mackall, J. (2004). Research and Information Management. New York: An Imprint of Facts on File, Inc.

McNabb, D. E. (2010). Research Methods for Political Science: Quantitative and Qualitative Approaches. New York: M. E. Sharpe, Inc.

Oz, E. (2009). Management Information Systems. Massachusetts: Cengage Learning, Inc.

Piepenburg, K. (2011). Critical Analysis of Hofstede's Model of Cultural Dimensions: To what Extent his Findings are Reliable, Valid and Applicable. Norderstedt Germany: Grin Verlag.

Ratzan, L. (2004). Understanding Information Systems: What They Do and Why We Need Them. New York: The American Library Association.

Rob, Morris, S. A. & Coronel, C. (2013.) Database Systems: Design, Implementation, and Management. Massachusetts: Cengage Learning Customer & Sales Support.

Ruddick, M. E., Sherwood, P. K., Wrenn, B. & Stevens, R. E. (2006). The Marketing Research Quide. New York: Best Business Books, an Imprint of the Haworth Press, Inc.

Rutsky, R. L. & Cohen, S. (2005). Consumption in an Age of Information. Oxford: Berg.

Stead, G. B. (2001). Planning, Reporting & Designing Research. Cape Town: Maskew Miller Longman, Ltd.

Tensen, B. L. (2013). Research Strategies for a Digital Age. Massachusetts: Wadsworth.

Time .(2010). Data Interpretation and Logical Reasoning. New Delhi: Magic International Pvt. Ltd, Greater Noida, UP.

Walliman, N. (2011). Research Methods: The Basics. New York: Routledge.

Williams, J. M., Colomb, G. G. & Booth, W. C. (2005). The Craft of Research. Chicago: The University of Chicago Press.




How to Cite

Ahmed, E. H. M. (2019). THE NATURE AND TYPES OF DATA. PEOPLE: International Journal of Social Sciences, 5(1), 718–726.