<![CDATA[Scientific research is a fundamental instrument in the development of knowledge that demands objectivity, systematization, and academic accountability. The validity of data and scientific findings depends heavily on the accuracy of the methodology applied by the researcher. This research report aims to examine in depth the urgency of research methods in guaranteeing data validity, especially in the context of contemporary research dynamics in 2019-2025. Using a qualitative approach based on library research, this analysis explores various criteria for qualitative data validity including credibility, transferability, dependability, and confirmability. Findings indicate that techniques such as triangulation, prolonged observation, persistent observation, and audit trails are crucial strategies for minimizing bias and increasing confidence in scientific findings. In addition, this report highlights the role of digital technology and artificial intelligence (AI) which bring new challenges to academic integrity and the need for ongoing human oversight. The results of the study emphasize that research methodology is not just a technical tool, but an ethical foundation that ensures that scientific products truly reflect the reality of the phenomenon being studied. Thus, strengthening methodological literacy for novice researchers and enforcing publication ethics are absolute requirements for maintaining academic reputation in the digital era.]]>
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