A critical part of verification and validation in academic research includes the important consideration of data and information management. As researchers grapple with escalating volumes of data, effective data management becomes imperative for optimizing operational processes and ensuring reproducibility and archivability. Data management involves the organization, storage, and retrieval of information to support research advancements and strengthen the foundation of decision making and scientific knowledge. Key components also include data operations, which involves the orchestration of data workflows, and data quality management, which focuses on maintaining accurate and reliable data. This talk explores the multifaceted aspects of data management, emphasizing its significance in ensuring data quality, accuracy and accessibility.
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Hanford et al. (2024) studied this question.
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