  One of the most challenging and recurring problems when modelling plasmas is
the lack of data on key atomic and molecular reactions that drive plasma
processes. Even when there are data for some reactions, complete and validated
datasets of chemistries are rarely available. This hinders research on plasma
processes and curbs development of industrial applications. The QDB project
aims to address this problem by providing a platform for provision, exchange,
and validation of chemistry datasets. A new data model developed for QDB is
presented. QDB collates published data on both electron scattering and
heavy-particle reactions. These data are formed into reaction sets, which are
then validated against experimental data where possible. This process produces
both complete chemistry sets and identifies key reactions that are currently
unreported in the literature. Gaps in the datasets can be filled using
established theoretical methods. Initial validated chemistry sets for
SF$_6$/CF$_4$/O$_2$ and SF$_6$/CF$_4$/N$_2$/H$_2$ are presented as examples.
