Prospective authors are invited to submit papers for presentation in any of the areas listed above. We welcome research papers, case studies, and idea papers. The paper selection will be based upon the relevance of a paper to the main topics, as well as upon its quality and potential to generate relevant discussion. Authors are requested to prepare submissions according to the format of the Lecture Notes in Business Information Processing (LNBIP) series by Springer.

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Submissions must be in English and must not exceed 12 pages (including figures, bibliography and appendices). Each paper should contain a short abstract, clarifying the relation of the paper with the main topics (preferably using the list of topics above), clearly state the problem being addressed, the goal of the work, the results achieved, and the relation to other work. Papers should be submitted electronically as a self-contained PDF file via the DQT-PM2022 submission system in Easy Chair (track "Data Quality and Transformation in Process Mining"). Submissions must be original contributions that have not been published previously, nor already submitted to other conferences or journals in parallel with this workshop. 

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All workshop papers will be published by Springer as a post-workshop proceedings volume in the series Lecture Notes in Business Information Processing (LNBIP). For each accepted paper, at least one author must register for the workshop and present the paper.