The text discusses the procedure for analyzing the content of forms to validate and evaluate the quality assurance and control framework in data science projects. Applying a quality assurance and control framework to these projects is crucial to avoiding and correcting errors that may occur during their use, which requires analysis and confirmation. The proposal covers the analysis of questionnaires using mixed methods (qualitative and quantitative), internal consistency analysis, concordance analysis, and exploratory factor analysis. The aim is to ensure that the items correctly assess the concepts they are intended to assess and that the evaluation and validation instrument is valid and reliable. The findings suggest that, despite a moderate agreement of 0.42 on the average result of the evaluation form’s content assessment questionnaire and a balanced degree of agreement of 0.36 on the average of the form’s content validation questionnaire, the items on the forms have appropriate content validity.