Ensuring Sustainable Data Interoperability Across the Natural and Social Sciences

Abstract:

Both the natural and social science data communities are attempting to address the long-term sustainability of their data infrastructures in rapidly changing research, technological, and policy environments. Many parts of these communities are also considering how to improve the interoperability and integration of their data and systems across natural, social, health, and other domains. However, these efforts have generally been undertaken in parallel, with little thought about how different sustainability approaches may impact long-term interoperability from scientific, legal, or economic perspectives, or vice versa, i.e., how improved interoperability could enhance—or threaten—infrastructure sustainability.

Scientific progress depends substantially on the ability to learn from the legacy of previous work available for current and future scientists to study, often by integrating disparate data not previously assembled. Digital data are less likely than scientific publications to be usable in the future unless they are managed by science-oriented repositories that can support long-term data access with the documentation and services needed for future interoperability.

We summarize recent discussions in the social and natural science communities on emerging approaches to sustainability and relevant interoperability activities, including efforts by the Belmont Forum E-Infrastructures project to address global change data infrastructure needs; the Group on Earth Observations to further implement data sharing and improve data management across diverse societal benefit areas; and the Research Data Alliance to develop legal interoperability principles and guidelines and to address challenges faced by domain repositories. We also examine emerging needs for data interoperability in the context of the post-2015 development agenda and the expected set of Sustainable Development Goals (SDGs), which set ambitious targets for sustainable development, poverty reduction, and environmental stewardship by 2030. These efforts suggest the need for a holistic approach towards improving and implementing strategies, policies, and practices that will ensure long-term sustainability and interoperability of scientific data repositories and networks across multiple scientific domains.