 AN OVERVIEW OF THE DATA SOURCE TYPESMartin Doynov ()
Conferences of the department Informatics, 2024, issue 1, 253-261 Abstract: Collecting information and extracting knowledge from it is a cornerstone process of humanity’s development. Along with the evolving technologies, the methods for handling data are also built upon and further sophisticated. Despite the variety of modern tools, helping researchers in the process of data collection, as well as the practically unlimited quantity of information at hand, the difficulty of finding substantial information and the risk of falling victim to faulty records increases due to the sheer volumes of available knowledge. If we do not possess the skills to filter data correctly and extract added value from the conclusions, they will be of no use. This is what necessitates the need for deepened understanding of data sources and the best practices essential to any researcher in order to pick only the most suitable material for their research. This academic work was conducted as part of project NPI-KS24-04-DCAAITM. Keywords: data; sources; types; information; extraction (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:vrn:katinf:y:2024:i:1:p:253-261 Access Statistics for this article Conferences of the department Informatics is currently edited by Vladimir Sulov More articles in Conferences of the department Informatics from Publishing house Science and Economics Varna Contact information at EDIRC. |
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