The Scholarly Database aims to serve researchers and practitioners interested in the analysis, modelling, and visualization
of large-scale data sets. A specific focus of this database is to support macro-evolutionary studies of science and to communicate
findings via knowledge-domain visualizations. Currently, the database provides access to about 18 million publications, patents,
and grants. About 90% of the publications are available in full text. Except for some datasets with restricted access conditions,
the data can be retrieved in raw or pre-processed formats using either a web-based or a relational database client. This paper
motivates the need for the database from the perspective of bibliometric/scientometric research. It explains the database
design, setup, etc., and reports the temporal, geographical, and topic coverage of data sets currently served via the database.
Planned work and the potential for this database to become a global testbed for information science research are discussed
at the end of the paper.