The Linked Data Benchmark Council (LDBC) is an EU project that aims to develop industry-strength benchmarks for graph and RDF data management systems. It includes the creation of a non-profit LDBC organization, where industry players and academia come together for managing the development of benchmarks as well as auditing and publishing official results. We present an overview of the project including its goals and organization, and describe its process and design methodology for benchmark development. We introduce so-called "choke-point" based benchmark development through which experts identify key technical challenges, and introduce them in the benchmark workload. Finally, we present the status of two benchmarks currently in development, one targeting graph data management systems using a social network data case, and the other targeting RDF systems using a data publishing case.
Endogamy in scientific publications is a measure of the degree of collaboration between researchers. In this paper, we analyze the endogamy of a large set of computer science conferences and journals. We observe a strong correlation between the quality of those conferences and the endogamy of their authors: conferences where researchers collaborate with new peers have significantly more quality than conferences where researchers work in groups that are stable along time.