Maintenance processes, in every form (corrective, preventive and predictive), can be benefited through the DIK (Data, Information, Knowledge) hierarchy. A large amount of data is generated and made available through the process and organizations can get advantages from discoveries through the exploration of such data. Possible data sources in a maintenance chain can be sensors, data sets, expert knowledge, and others. This article aims to explore the available literature related to the themes "data-information-knowledge" and "maintenance" to identify the state of the art of research related to these themes. The selected research method is literature review. Scopus and Web of Science databases were used as a bibliographic source, in addition to other references. The research results present that the topic is not explored enough: most of related publications were published in 2021. The area that has the greatest prominence regarding the theme is Industry. It was also identified that areas out of Engineering can benefit from research on the DIK hierarchy (Data, Information, Knowledge) applied to maintenance.
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