Engineering data equity: the LISTEN principles

13 Pages Posted: 17 Dec 2024

See all articles by Colin Carlson

Colin Carlson

Yale University

Monica Granados

Creative Commons

Alexandra Phelan

Johns Hopkins University - Bloomberg School of Public Health; Johns Hopkins Center for Health Security

NITHIN RAMAKRISHNAN

affiliation not provided to SSRN

Timothee Poisot

University of Montreal

Date Written: November 16, 2024

Abstract

Several existing and proposed international legal agreements include an "access and benefit-sharing" (ABS) mechanism that attaches obligations to the use of genetic sequence data. These agreements are frequently subject to critique on the grounds that ABS is either (1) fundamentally incompatible with the principles of open science, or (2) technically challenging to implement in open scientific databases. Here, we argue that these critiques arise from a misinterpretation of the principles of open science, and that both considerations can be addressed by a set of simple principles that mesh database engineering and governance. We introduce a checklist of six design considerations (LISTEN: Licensed, Identified, Supervised, Transparent, Enforced, and Non-exclusive), which can be readily implemented by both new and existing platforms to support benefit-sharing. Throughout, we highlight how these principles can act in concert with familiar principles of open science (e.g., "FAIR" data).

Suggested Citation

Carlson, Colin and Granados, Monica and Phelan, Alexandra and RAMAKRISHNAN, NITHIN and Poisot, Timothee, Engineering data equity: the LISTEN principles (November 16, 2024). Available at SSRN: https://ssrn.com/abstract=5022896 or http://dx.doi.org/10.2139/ssrn.5022896

Monica Granados

Creative Commons ( email )

Alexandra Phelan

Johns Hopkins University - Bloomberg School of Public Health ( email )

Baltimore, MD
United States

Johns Hopkins Center for Health Security ( email )

621 East Pratt Street, Suite 210
Baltimore, MD 21202
United States

NITHIN RAMAKRISHNAN

affiliation not provided to SSRN

Timothee Poisot

University of Montreal ( email )

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