  Marine in-situ data is collected by sensors mounted on fixed or mobile
systems deployed into the ocean. This type of data is crucial both for the
ocean industries and public authorities, e.g., for monitoring and forecasting
the state of marine ecosystems and/or climate changes. Various public
organizations have collected, managed, and openly shared in-situ marine data in
the past decade. Recently, initiatives like the Ocean Decade Corporate Data
Group have incentivized the sharing of marine data of public interest from
private companies aiding in ocean management. However, there is no clear
understanding of the impact of data quality in the engineering of systems, as
well as on how to manage and exploit the collected data.
  In this paper, we propose main architectural decisions and a data
flow-oriented component and connector view for marine in-situ data streams. Our
results are based on a longitudinal empirical software engineering process, and
driven by knowledge extracted from the experts in the marine domain from public
and private organizations, and challenges identified in the literature. The
proposed software architecture is instantiated and exemplified in a prototype
implementation.
