The efficient tracking and tracing method for product lifecycle data is essential for avoiding any delays and errors affecting accuracy and completeness of enterprise applications, especially in the closed-loop PLM where several partners and organizations are involved. To this end, we develop an overall framework for tracking and tracing product lifecycle data in the closed-loop PLM. It contains an RDF schema to manage huge amount of event data of product embedded information devices (PEIDs), and a processing mechanism to transform the huge data into meaningful information. Based on them, simple tracking and tracing examples are presented with RDF query language. To show the effectiveness of the proposed approach, a simple case study is introduced.