A Distributed Architecture for Sharing Ecological Data Sets with Access and Usage Control Guarantees

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In our information-age, the necessary scientic exploration is mainly driven by mining new insights from many diverse data sets. While there is a consensus that a collaborative data infrastructure is needed to allow researchers in dierent domains to collaborate on the same data sets in order to get new insights, there are signicant barriers to the realization of this vision. One of the key challenge is to allow scientists to share their data widely while retaining some form of control over who accesses this data (access control) and more importantly how it is used (usage control). Access and usage control is necessary to enforce existing open data policies. We have proposed the vision of trusted cells: A decentralized infrastructure, based on secure hardware running on devices equipped with trusted execution environments at the edges of the Internet. We originally described the utilization of trusted cells for the management of personal data. We describe our vision and report on our progress towards the implementation of trusted cells on off-the-shelf hardware components. We show how trusted cells deployed in the field and throughout the community could make it possible to share ecological data sets with access and usage control guarantees. We rely on examples from terrestrial research and monitoring in the arctic in the context of the INTERACT project.
Original languageEnglish
Title of host publicationProceedings of the 7th International Congress on Environmental Modelling and Software
EditorsD.P Ames, N.W.T. Quinn, A.E. Rizzoli
Number of pages7
Publication date15 Jul 2014
ISBN (Print)978-88-9035-744-2
Publication statusPublished - 15 Jul 2014
Event7th International Congress on Environmental Modelling and Software - San Diego, CA, United States
Duration: 15 Jun 201419 Jun 2014


Conference7th International Congress on Environmental Modelling and Software
LandUnited States
BySan Diego, CA

    Research areas

  • arctic terrestrial research and monitoring, ecological data sets, trusted cells, data platform.


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ID: 80111893