Increasingly common open data and open application programming interfaces (APIs) together with the progress of data science -- such as artificial intelligence (AI) and especially machine learning (ML) -- create opportunities to build novel services by combining data from different sources. In this experience report, we describe our firsthand experiences on open data and in the domain of marine traffic in Finland and Sweden and identified technological opportunities for novel services. We enumerate five challenges that we have encountered with the application of open data: relevant data, historical data, licensing, runtime quality, and API evolution. These challenges affect both business model and technical implementation. We discuss how these challenges could be alleviated by better governance practices for provided open APIs and data.

翻译：日益常见的开放数据和开放应用程序编程界面,以及数据科学的进展 -- -- 例如人工智能(AI),特别是机器学习(ML) -- -- 通过综合不同来源的数据,创造建立新服务的机会。在本经验报告中,我们描述了我们在开放数据和芬兰和瑞典海洋交通领域的第一手经验,并查明了提供新服务的技术机会。我们列举了在应用开放数据时遇到的五个挑战:相关数据、历史数据、许可证、运行时间质量和API的演变。这些挑战既影响商业模式,也影响技术实施。我们讨论了如何通过提供开放API和数据的更好的治理做法来减轻这些挑战。