{"citation":{"ama":"Brock J, von Enzberg S, Kühn A, Dumitrescu R. Process Mining Data Canvas: A method to identify data and process knowledge for data collection and preparation in process mining projects. <i>Procedia CIRP</i>. 2023;119:602-607. doi:<a href=\"https://doi.org/10.1016/j.procir.2023.03.114\">10.1016/j.procir.2023.03.114</a>","bibtex":"@article{Brock_von Enzberg_Kühn_Dumitrescu_2023, title={Process Mining Data Canvas: A method to identify data and process knowledge for data collection and preparation in process mining projects}, volume={119}, DOI={<a href=\"https://doi.org/10.1016/j.procir.2023.03.114\">10.1016/j.procir.2023.03.114</a>}, journal={Procedia CIRP}, publisher={Elsevier BV}, author={Brock, Jonathan and von Enzberg, Sebastian and Kühn, Arno and Dumitrescu, Roman}, year={2023}, pages={602–607} }","ieee":"J. Brock, S. von Enzberg, A. Kühn, and R. Dumitrescu, “Process Mining Data Canvas: A method to identify data and process knowledge for data collection and preparation in process mining projects,” <i>Procedia CIRP</i>, vol. 119, pp. 602–607, 2023, doi: <a href=\"https://doi.org/10.1016/j.procir.2023.03.114\">10.1016/j.procir.2023.03.114</a>.","chicago":"Brock, Jonathan, Sebastian von Enzberg, Arno Kühn, and Roman Dumitrescu. “Process Mining Data Canvas: A Method to Identify Data and Process Knowledge for Data Collection and Preparation in Process Mining Projects.” <i>Procedia CIRP</i> 119 (2023): 602–7. <a href=\"https://doi.org/10.1016/j.procir.2023.03.114\">https://doi.org/10.1016/j.procir.2023.03.114</a>.","short":"J. Brock, S. von Enzberg, A. Kühn, R. Dumitrescu, Procedia CIRP 119 (2023) 602–607.","apa":"Brock, J., von Enzberg, S., Kühn, A., &#38; Dumitrescu, R. (2023). Process Mining Data Canvas: A method to identify data and process knowledge for data collection and preparation in process mining projects. <i>Procedia CIRP</i>, <i>119</i>, 602–607. <a href=\"https://doi.org/10.1016/j.procir.2023.03.114\">https://doi.org/10.1016/j.procir.2023.03.114</a>","mla":"Brock, Jonathan, et al. “Process Mining Data Canvas: A Method to Identify Data and Process Knowledge for Data Collection and Preparation in Process Mining Projects.” <i>Procedia CIRP</i>, vol. 119, Elsevier BV, 2023, pp. 602–07, doi:<a href=\"https://doi.org/10.1016/j.procir.2023.03.114\">10.1016/j.procir.2023.03.114</a>."},"volume":119,"author":[{"full_name":"Brock, Jonathan","last_name":"Brock","first_name":"Jonathan"},{"last_name":"von Enzberg","full_name":"von Enzberg, Sebastian","first_name":"Sebastian"},{"last_name":"Kühn","full_name":"Kühn, Arno","first_name":"Arno"},{"first_name":"Roman","id":"16190","full_name":"Dumitrescu, Roman","last_name":"Dumitrescu"}],"keyword":["General Medicine"],"publication":"Procedia CIRP","department":[{"_id":"563"}],"date_updated":"2023-10-06T09:46:11Z","user_id":"15782","language":[{"iso":"eng"}],"date_created":"2023-10-06T09:45:27Z","status":"public","title":"Process Mining Data Canvas: A method to identify data and process knowledge for data collection and preparation in process mining projects","publication_identifier":{"issn":["2212-8271"]},"publisher":"Elsevier BV","publication_status":"published","year":"2023","type":"journal_article","page":"602-607","_id":"47824","intvolume":"       119","doi":"10.1016/j.procir.2023.03.114"}