Abstract
We are excited to welcome you to Volume 1 of a brand new journal - Proceedings of the ACM on Management of Data, PACMMOD. This new journal is concerned with the principles, algorithms, techniques, systems, and applications of database management systems, data management technology, and science and engineering of data and will include articles reporting cutting-edge data management, data engineering, and data science research. Articles published at PACMMOD address data challenges at various stages of the data lifecycle, from modeling, acquisition, cleaning, integration, indexing, querying, analysis, exploration, visualization, interpretation, and explanation. They focus on data-intensive components of data pipelines; and solve problems in areas of interest to our community (e.g., data curation, optimization, performance, storage, systems), operating within accuracy, privacy, fairness, and diversity constraints. Articles reporting deployed systems and solutions to data science pipelines and/or fundamental experiences and insights from evaluating real-world data engineering problems are especially encouraged.
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