*** BPI Challenge 2016 (OCEL) *** 
Authors: Shahrzad Khayatbashi, Olaf Hartig, and Amin Jalali
Department of Computer and Information Science (IDA), Linköping University
Department of Computer and Systems Sciences, Stockholm University

Corresponding author: Shahrzad Khayatbashi

Contact Information: 
shahrzad.khayatbashi@liu.se

Linköping University - Department of Computer and Information Science (IDA)
581 83 Linköping
Sweden


***General Introduction*** 
This dataset contains the Business Process Intelligence Challenge data for 2016 in jsonocel format. The dataset is the result of applying a transformation algorithm that is introduced in this paper: "Transforming Event Knowledge Graph to Object-Centric Event Logs: A Comparative Study for Multi-dimensional Process Analysis". The transformation algorithm is implemented in an open-source Python library called neo4pm, which is used to transform the original data set into ocel format. The result is a part of Shahrzad Khayatbashi's PhD Thesis project. It is being made public to act as supplementary data for the publication and in order for other researchers to use this data in their own work. 
The input data is the multi-dimensional event log published in https://data.4tu.nl with the following DOI: 10.4121/14164220.v1 which derived from BPI Challenge 2016 with doi: 10.4121/uuid:360795c8-1dd6-4a5b-a443-185001076eab


***Description of the data in this data set*** 
A .zip file containing a jsonocel file. The data included in this data set is based on OCEL standard with jsonocel format. More information about the format and standard can be obtained from https://ocel-standard.org

***Data Contents***

The content follow the description given for BPI Challenge 2016, i.e., 

UWV (Employee Insurance Agency) is an autonomous administrative authority (ZBO) and is commissioned by the Ministry of Social Affairs and Employment (SZW) to implement employee insurances and provide labour market and data services in the Netherlands. The Dutch employee insurances are provided for via laws such as the WW (Unemployment Insurance Act), the WIA (Work and Income according to Labour Capacity Act, which contains the IVA (Full Invalidity Benefit Regulations), WGA (Return to Work (Partially Disabled) Regulations), the Wajong (Disablement Assistance Act for Handicapped Young Persons), the WAO (Invalidity Insurance Act), the WAZ (Self-employed Persons Disablement Benefits Act), the Wazo (Work and Care Act) and the Sickness Benefits Act. The data in this collection pertains to customer contacts over a period of 8 months and UWV is looking for insights into their customers' journeys. Data has been collected from several different sources, namely: 1) Clickdata from the site www.werk.nl collected from visitors that were not logged in, 2) Clickdata from the customer specific part of the site www.werk.nl (a link is made with the customer that logged in), 3) Werkmap Message data, showing when customers contacted the UWV through a digital channel, 4) Call data from the callcenter, showing when customers contacted the call center by phone, and 5) Complaint data showing when customers complained. All data is accompanied by data fields with anonymized information about the customer as well as data about the site visited or the contents of the call and/or complaint. The texts in the dataset are provided in both Dutch and English where applicable. URL's are included based on the structure of the site during the period the data has been collected. UWV is interested in insights on how their channels are being used, when customers move from one contact channel to the next and why and if there are clear customer profiles to be identified in the behavioral data. Furthermore, recommendations are sought on how to serve customers without the need to change the contact channel.

More information can be found at BPI Challenge 2016 with doi: 10.4121/uuid:360795c8-1dd6-4a5b-a443-185001076eab