Research Directions for Principles of Data Management (Abridged) (original) (raw)

This article summarizes key research directions identified at a workshop focused on the Principles of Data Management (PDM), held at Dagstuhl Castle in April 2016. The workshop aimed to explore significant research challenges in data management, emphasizing practical relevance and surmountable research questions. Seven core themes were identified: Managing Data at Scale, Multi-model Data, Uncertain Information, Knowledge-enriched Data, Data Management and Machine Learning, Process and Data, and Ethics and Data Management. The need for precise methodologies in an evolving data landscape, as well as an increased focus on interdisciplinary approaches, highlights the transformative role of data in society and presents opportunities for collaboration across diverse research domains.