Final answer:
The claim that pure database data in raw form are most useful is false, as raw data requires significant processing to become useful. Databases like CQ Researcher, Factiva, and Scholar provide various levels of detail and analysis to facilitate research. It's crucial to effectively interpret and analyze database information for it to be beneficial.
Step-by-step explanation:
The statement that pure database data in raw form are most pertinent and useful is false. Raw data from databases require a considerable amount of processing and contextualizing to become useful and pertinent for research or decision-making processes. Academic article databases, like CQ Researcher, Factiva, and Scholar, offer different levels of analysis and presentation that can make the information more accessible and understandable. CQ Researcher provides well-researched reports with various viewpoints which are useful during any research stage, and Factiva offers in-depth business information and news articles. Scholar is a valuable tool for academic research, providing scholarly literature across many disciplines.
Understanding and utilizing these databases effectively is crucial in research. For example, Factiva's financial data from the 1960s or CQ Researcher's in-depth reports can offer a holistic view of a topic, guiding researchers on where to find credible sources and avoiding the hypnotic effect of reading hundreds of data points in numerical form. Researchers need sophisticated analysis and rigorous data sourced through well-planned approaches for the best scientific outcomes, which these databases can facilitate.
It is also essential to approach potential biases with caution, sourcing information from databases with clear authority and credibility to ensure research integrity. Ultimately, the utility of database data greatly depends on one's ability to interpret and analyze the information effectively.