The Importance of Data and Metadata Management for Scientific Research

Resumo

The approach presented in this review seeks to demonstrate how the impact of data quality and integration can be directly influenced by metadata standardization, ensuring greater reliability and accessibility in the modeling and analysis of complex networks. This study is ongoing, and data collection was conducted in the SciELO, Google Scholar, and ScienceDirect databases, focusing on publications from 2020 to 2025. Based on the literature review, it is expected to demonstrate the relevance of data management for conducting scientific research, highlighting how a well-defined structure can ensure reliability and accessibility of information over time. At the conclusion of this ongoing research, the results may serve as a basis for developing a data and metadata management framework to support the structuring and retrieval of data necessary for scientific research in the field of complex networks.