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Responsible Sharing of Spatiotemporal Data

Published: 09 June 2024 Publication History

Abstract

There is a growing need for responsible spatiotemporal data sharing in our daily lives. Applications such as connected vehicles and mobile advertising are currently undergoing a significant digital shift, demanding new standards for privacy-aware solutions and the integration of machine learning technologies. In this tutorial, we present the concepts and challenges encountered when maximizing the utility of spatiotemporal data while enforcing rigorous privacy and security measures. We review modern data sharing mechanisms that provide stakeholders with the power to establish precise terms for the usage and sharing of their data, secured by a robust data infrastructure. We will explore how such sharing mechanisms interplay with complex privacy stipulations and advanced spatiotemporal analytics. Attendees will leave with a comprehensive understanding of how to navigate the delicate balance of spatiotemporal data usage, paving the way for innovation in privacy and compliance methodologies across various industries.

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cover image ACM Conferences
SIGMOD/PODS '24: Companion of the 2024 International Conference on Management of Data
June 2024
694 pages
ISBN:9798400704222
DOI:10.1145/3626246
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 09 June 2024

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Author Tags

  1. data sharing
  2. secure sharing
  3. spatiotemporal data

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