𝐈𝐦𝐩𝐫𝐨𝐯𝐢𝐧𝐠 𝐄𝐯𝐞𝐧𝐭 𝐃𝐚𝐭𝐚 𝐏𝐫𝐞𝐩𝐚𝐫𝐚𝐭𝐢𝐨𝐧 𝐟𝐨𝐫 𝐏𝐫𝐨𝐜𝐞𝐬𝐬 𝐌𝐢𝐧𝐢𝐧𝐠
Although the popularity and adoption of process mining techniques grew rapidly in recent years, a large portion of effort invested in process mining initiatives is still consumed by event data preparation rather than process analysis. The 𝗜𝗘𝗘𝗘 𝗧𝗮𝘀𝗸 𝗳𝗼𝗿𝗰𝗲 𝗼𝗻 𝗣𝗿𝗼𝗰𝗲𝘀𝘀 𝗠𝗶𝗻𝗶𝗻𝗴 is conducting this study focused on the challenges faced during event data preparation (from source data to event log), aiming to inform the development of future standards that streamline event data preparation for both industry and academia.
You are invited to participate based on your experience as
(i) a practitioner (i.e., for commercial usage),
(ii) a researcher,
(iii) a software vendor, or
(iv) a consultant.
Your participation in this research project is entirely voluntary. If you agree to participate you do not have to complete any question(s) you are uncomfortable answering. If you do agree to participate you can withdraw from the study during your participation without comment or penalty. However, as the survey does not require any personal identifying information, once it has been submitted, it will not be possible to withdraw. You will be able to review your responses before submitting the survey. However, once submitted, the on-line survey will not allow further access to you.
Please note that this study has been approved by the QUT Human Research Ethics Committee (approval number 2021000318).