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Accountable Human Subject Research Data Processing using Lohpi

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https://hdl.handle.net/10037/22223
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Date
2021-06
Type
Conference object
Konferansebidrag

Author
Sharma, Aakash; Bye Nilsen, Thomas; Brenna, Lars; Johansen, Dag; Johansen, Håvard D.
Abstract
In human subject research, various data about the studied individuals are collected. Through re-identification and statistical inferences, this data can be exploited for interests other than the ones the subjects initially consented to. Such exploitation must be avoided to maintain trust with the researched population. We argue that keeping data-access policies up-to-date and building accountability on research data processing can reflect subjects’ consent and mitigate data misuse. With accountability in mind, we are building Lohpi: a decentralized system for research data sharing with up-to-date access policies. We demonstrate our initial prototype with timely delivery of policy changes along with minimal access control overhead.
Description
Presentation at the online conference International Conference on Information-communication technologies enhanced Social Sciences and Humanities (ICTeSSH), 28.06.21 - 30.06.21, arranged by Science 2.0 Alliance. https://ictessh.pubpub.org/.
Citation
Sharma, A., Bye Nielsen, T., Brenna, L., Johansen, D. & Johansen, D. (2021). Accountable Human Subject Research Data Processing using Lohpi. International Conference on Information-communication technologies enhanced Social Sciences and Humanities (ICTeSSH), 28.06.21 - 30.06.21. [Online]
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