Participants in modern automation engineering
projects typically work distributed and in parallel.
Therefore, there are advanced approaches for
integrating the data of specific engineering tools and
systems. However, in these projects there are also
participants who do not work with the specific
engineering tool set but provide important data updates,
e.g., customer representatives. A major challenge is to
provide systematic and efficient quality assurance for
these inputs. In this paper we describe an approach to
provide efficient quality assurance when importing data
from general purpose tools such as Excel into an
integrated engineering data set. We report on
experiences with initial prototypes and compare the
improved with a traditional data import process to
discuss advantages, risks, and further improvements.