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DBLP is the largest open-access repository of scientific articles on computerscience and provides metadata associated with publications, authors, andvenues. We retrieved more than 6 million publications from DBLP and extractedpertinent metadata (e.g., abstracts, author affiliations, citations) from thepublication texts to create the DBLP Discovery Dataset (D3). D3 can be used toidentify trends in research activity, productivity, focus, bias, accessibility,and impact of computer science research. We present an initial analysis focusedon the volume of computer science research (e.g., number of papers, authors,research activity), trends in topics of interest, and citation patterns. Ourfindings show that computer science is a growing research field (approx. 15%annually), with an active and collaborative researcher community. While papersin recent years present more bibliographical entries in comparison to previousdecades, the average number of citations has been declining. Investigatingpapers' abstracts reveals that recent topic trends are clearly reflected in D3.Finally, we list further applications of D3 and pose supplemental researchquestions. The D3 dataset, our findings, and source code are publicly availablefor research purposes.

D3: A Massive Dataset of Scholarly Metadata for Analyzing the State of Computer Science Research