  As platform ecosystems are growing by platform users' data, the importance of
data governance has been highlighted. In particular, how to share control and
decision rights with platform users are regarded as significant design issues
since the role of them is increasing. Platform context should be considered
when designing data governance in platform ecosystems (i.e.
centralized/decentralized governance). However, there is limited research on
this issue. Existing models focus on characteristics for enterprises. This
results in limited support for platform ecosystems where there are different
types of business context such as open strategies or platform maturity. This
paper develops a contingency model for platform ecosystems including
distinctive contingency factors. The study then discusses which data governance
factors should be carefully considered and strengthened for each contingency in
order to succeed in governance and to win market. A case study is performed to
validate our model and to show its practical implications.
