New research paper at Internationale Tagung Wirtschaftsinformatik 2020
New research paper published at Internationale Tagung Wirtschaftsinformatik 2020:
Roeder, J., Muntermann, J., and Kneib. T. 2020. “Towards a Taxonomy for Data Heterogeneity,” in Proceedings of Internationalen Tagung Wirtschaftsinformatik 2020, Potsdam, Germany (Forthcoming).
Abstract: The increasing diversity of data available today poses a multitude of challenges to researchers and practitioners. Data understanding, i.e., describing, exploring, and verifying a data set at hand becomes a critical process during which it is examined if data complies with the actual user needs. With an increasing complexity of the data universe accessible by organizations and decision-makers, this task has become even more important and challenging. Building on insights from information systems research, computer science, and statistics, we develop and evaluate a taxonomy of data heterogeneity for addressing this challenge. The proposed taxonomy provides a foundation for exploring the properties of data sets. Thereby, it is relevant for both researchers and practitioners as it provides a useful tool for describing and ultimately understanding data sets. We illustrate the effectiveness of our taxonomy by applying it to data sets available to the research community and industry.