  The importance of context in data quality (DQ) was shown many years ago and
nowadays is widely accepted. Early approaches and surveys defined DQ as
\textit{fitness for use} and showed the influence of context on DQ. This paper
presents a Systematic Literature Review (SLR) for investigating how context is
taken into account in recent proposals for DQ management. We specifically
present the planning and execution of the SLR, the analysis criteria and our
results reflecting the relationship between context and DQ in the state of the
art and, particularly, how that context is defined and used for DQ management.
