![]() ![]() Plagiarism is the act of taking credit for ideas or data that rightfully belongs to others. In either case, the true scope of the data findings remains hidden from readers who are unable to accurately assess the validity of the findings. Alternately, data may be fabricated if the data collection process was somehow interrupted or data was lost, and the researchers believe the invented data would have been similar to what was anticipated. Listed below are some issues related to integrity of data reporting and publication:ĭue to problems data in collection, researchers may omit data that is not supportive of the research hypothesis. Deficiencies in training or a lack of awareness of existing policies, codes, or rules may increase the likelihood of a deviation from the acceptable standards of practice in reporting and publishing. Sources of guidance promoting good data reporting practices and publishing include faculty advisors who carefully instruct graduate students, departmental chairpersons mentoring researchers new to the field, regular review of published university policies, existing codes of professional ethics, or established government rules and regulations. Investigators demonstrating lapses of integrity while engaged in data reporting and publishing can have a negative influence in the direction of future research efforts, threaten to compromise the credibility of a particular field of study, and may ultimately risk the well-being and safety of the public in general, as well as research subjects in particular. Importance of accurate and honest data reporting These can be categorized as either external or internal factors as follows: ![]() These factors may facilitate conditions where the goal of conducting research in as objective a manner as possible can sometimes be challenged. There are often factors in research settings that can result in compromises to data integrity. In this process, researchers may experience many more challenges to preserving research integrity.Ĭonsiderations/issues in data reporting and publishing This practice also extends to the stage of documenting and preparing results for publication. The practice of ensuring research integrity is relevant at all stages of research investigation, from early conceptualization, design, implementation, to analysis. ![]() The tacit assumption in publishing is one of trust between the author(s) and readers regarding the accuracy and truthfulness of any submission. Scholarly disciplines can only advance through dissemination and review of research findings at professional meetings and publications in discipline-related journals. Data publication and reporting is the process of preparing and disseminating research findings to the scientific community. ![]()
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