A WEB-BASED SOFTWARE FOR REPORTING GUIDELINES OF SCIENTIFIC RESEARCHES

Abstract

Abstract— Aim: It is very important to use accurate reporting guidelines when reporting a study in cognitive science and health. This study aims to develop a web-based tool that leads to a reporting guideline that includes checklists and flowcharts for relevant research by type of research designs (qualitative, descriptive, experimental, and methodological studies, etc.) Materials and Methods: The current study covers qualitative research, systematic review/meta-analysis, case presentations, case series, correlational (ecological), case-control, cross-sectional, cohort, randomized clinical trial, non-randomized clinical trial, field studies (for there are reporting guideline for primary protection measures), health care research (animal experiments, etc.), validity studies, consistency studies, simulation studies. For this purpose, the researcher is asked which epidemiological research design is useful and is directed to the reporting guideline for the relevant research type. During the development of the software, the DASH Library in the Python programming language was used. Results: The Scientific Research Guidelines Software developed in this study can improve the reporting quality of the studies by guiding researchers to the correct reporting guide. The web-based software developed can be accessed at http://biostatapps.inonu.edu.tr/BAKY/. The software has English and Turkish language options. Conclusion: Scientific Research Guidelines Software allows researchers to clearly state what they do and what they don't do in their study, how they do it, and what they find as a result. Besides, this software provides access to guides where they can learn about the meaning, strengths, and weaknesses of the study being done.

Keywords

• Epidemiological Research Designs
• Research Reporting Guidelines
• Python

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