[AISWorld] Publication of case studies on the application of the Data Science Process Model (DASC-PM v1.1)

[Dr. Stephan Kühnel]

Dear Colleagues,

Last year we published version 1.1 of the DASC-PM 
<https://www.researchgate.net/publication/361428426_DASC-PM_v11_-_A_Process_Model_for_Data_Science_Projects>(Schulz 
et al. 2022), a process model for data science projects.

Today, we are pleased to provide you with both an application-oriented 
article 
<https://www.researchgate.net/publication/366776869_Using_the_Data_Science_Process_Model_Version_11_DASC-PM_v11_for_Executing_Data_Science_Projects_Procedures_Competencies_and_Roles>(Kuehnel 
et al. 2023)and a collection of case studies 
<https://www.researchgate.net/publication/368661660_DASC-PM_v11_Case_Studies>(Schulz 
et al. 2023) to assist readers in using the DASC-PM. In the various case 
studies, the use is presented from different perspectives and at quite 
different levels of abstraction. The collection of case studies includes 
projects from both practice and academia.

We would like to thank all authors of the case studies for their 
commitment to the working group and are very pleased with the exciting 
contributions that have resulted.

Many greetings
The DASC-PM core team._
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_References_

Kuehnel, S., Neuhaus, U., Kaufmann, J., Schulz, M., and Alekozai, E. M. 
2023. “Using the Data Science Process Model Version 1.1 (DASC-PM v1.1) 
for Executing Data Science Projects: Procedures, Competencies, and 
Roles,”In: Barton, T., Müller, C. (eds) Apply Data Science. Springer 
Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-38798-3_8, pp. 119-134.

Schulz, M., Neuhaus, U., Kaufmann, J., Kuehnel, S., Alekozai, E. M., 
Rohde, H., Hoseini, S., Theuerkauf, R., Badura, D., Kerzel, U., 
Lanquillon, C., Daurer, S., Günther, M., Huber, L., Thiée, L.-W., zur 
Heiden, P., Passlick, J., Dieckmann, J., Schwade, F., Seyffarth, T., 
Badewitz, W., Rissler, R., Sackmann, S., Gölzer, P., Welter, F., Röth, 
J., Seidelmann, J., and Haneke, U. 2022.DASC-PM v1.1 A Process Model for 
Data Science Projects, Hamburg 2022, ISBN: 978-3-9824465-1-6, 
http://dx.doi.org/10.25673/91094

Schulz, M., Neuhaus, U., Kuehnel, S., Rohde, H., Hoseini, S., and 
Theuerkauf, R. (eds.). 2023.DASC-PM v1.1 Case Studies, NORDAKADEMIE gAG 
Hochschule der Wirtschaft.URL: 
https://www.researchgate.net/publication/368661660_DASC-PM_v11_Case_Studies


_____________________
Dr. Stephan Kuehnel
Evaluation Officer | Project Lead | PostDoc | Academic Staff Representative
Chair for Information Systems, esp. Business Information Management
Martin Luther University Halle-Wittenberg
Universitätsring 3, 06108 Halle (Saale)
Tel.: +49 345/55-234 77
http://informationsmanagement.wiwi.uni-halle.de/team/stephan_kuehnel/