International Journal of Digital Earth · 2023 · 12 citations · 68 references
Data Trusts are an important emerging approach to enabling the much wider sharing of data from many different sources and for many different purposes, backed by the confidence of clear and unambiguous data governance. Data Trusts combine the technical infrastructure for sharing data with the governance framework of a legal trust. The concept of a data Trust applied specifically to spatial data offers significant opportunities for new and future applications, addressing some longstanding barriers to data sharing, such as location privacy and data sovereignty. This paper introduces and explores the concept of a ‘spatial data Trust’ by identifying and explaining the key functions and characteristics required to underpin a data Trust for spatial data. The work identifies five key features of spatial data Trusts that demand specific attention and connects these features to a history of relevant work in the field, including spatial data infrastructures (SDIs), location privacy, and spatial data quality. The conclusions identify several key strands of research for the future development of this rapidly emerging framework for spatial data sharing.
68
The FAIR Guiding Principles for scientific data management and stewardship
Mark D. Wilkinson, Michel Dumontier, IJsbrand Jan Aalbersberg et al. · Scientific Data · 2016 · 16.6K citations · Full text
Unique in the Crowd: The privacy bounds of human mobility
Yves-Alexandre de Montjoye, César A. Hidalgo, Michel Verleysen et al. · Scientific Reports · 2013 · 1.6K citations · Full text
Location privacy in pervasive computing
Alastair R. Beresford, Frank Stajano · IEEE Pervasive Computing · 2003 · 1.6K citations