Information sharing is a vital element of a successful business.
However, technological, organisational and human challenges obstruct
the effective movement of data. In this paper, we analyse a collection
of case studies from healthcare describing failing information systems
developments. A set of 32 failing factors were extracted showing
that data movement, either between systems, people or organisations, is
a key indicator of IT failure. From this examination, we derived antipatterns
for data movement in which some key differences between the
source and target location of the movement caused high costs to the developments.
Finally, we propose data journey modelling as a lightweight
technique that captures the movement of data through complex networks
of people and systems, with the aim of improve go/no-go decision making
for new IT developments, based on the anti-patterns we have identified.