The Industry 4.0 paradigm has seen increased interest by scientific research. The emergence of new information and communication technologies (ICT) in manufacturing shop floors generates large quantities of data and information flows, leading to large databases and big data issues. To resolve these issues, there is a need of efficient data and knowledge management approaches to support the exploitation, sharing, and interpretation of useful data. This article discusses the topic of ICT implementation within an Industry 4.0 paradigm. This article identifies problems of digital chain disruption and the need for interoperability. A conceptual framework for the management and structuring of data and knowledge is proposed as a solution to address these concerns.