PURPOSE
Creation of a process model for data management that is aligned with Automotive SPICE® 3.1 and other established standards in the industry.
MOTIVATION
Many of the current innovations in the automotive environment revolve around autonomous driving, digitization, connectivity, AI/machine learning, and new services in the context of mobility.
All of these innovations are based on the collection and use of data. However, the handling of data often plays a subordinate, barely visible role in today's development and operations processes, with corresponding risks.
The working group is creating a good practice framework that specifically addresses these risks; hence the working title "Data Management SPICE".
DELIVERABLES
- Pilot the draft model - we are actively looking for organizations interested in piloting.
- Create a Data Management SPICE PAM (aligned with Automotive SPICE® 3.1)
- Creation of standard training material and exams
MEMBERS
- Michael Neher
- Sascha Glasbrenner
- Niko Pollner
- Goekhan Oezdil
- Stefan Feser
- Tuexen Henning
- Dariusz Ziarniak
- Emrah Eminoglu
- Gerd Grest
- Turhan Batur
- Samer Sameh
- Gregor Pawelke
- Christina Stathatou
WORKING GROUP LEADSHIP TEAM
- Christian Hübscher (This email address is being protected from spambots. You need JavaScript enabled to view it.)
- Thomas Sievers (This email address is being protected from spambots. You need JavaScript enabled to view it.) (Head)