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Related Experiment Video

Updated: Mar 4, 2026

Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans

Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans

Published on: August 16, 2017

Computable Information Governance Contracts.

James Cunningham¹, Gary Leeming², John Ainsworth¹

¹The Health eResearch Centre and The Farr Institute, Division of Informatics, Imaging Data Sciences, School of Health Sciences, The University of Manchester.

Studies in Health Technology and Informatics

|April 21, 2017

Summary

This summary is machine-generated.

Protecting electronic health data for research is enhanced by computable contracts. This system enforces data sharing agreement rules directly within healthcare systems, mitigating risks of data misuse.

Keywords:

Database Management Systems Information Storage and Retrieval

Related Experiment Videos

Last Updated: Mar 4, 2026

Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans

Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans

Published on: August 16, 2017

Area of Science:

Health Informatics
Computer Science
Law

Background:

Electronic healthcare data sharing for research poses risks.
Current data sharing agreements are textual and lack automated enforcement.
Post-hoc detection of breaches limits real-time mitigation.

Purpose of the Study:

To design a system for enforcing data sharing agreements within electronic health care systems.
To mitigate risks associated with electronic health data re-use in research.
To introduce computable contracts for automated governance.

Main Methods:

Formal specification of computable contracts.
Integration of contracts within electronic health care systems.
Design of a system for real-time rule enforcement.

Main Results:

A system design for computable contracts was developed.
The system enables in-bound enforcement of data sharing rules.
Potential for automated detection and prevention of agreement breaches.

Conclusions:

Computable contracts offer a robust solution for secure electronic health data sharing.
Automated enforcement enhances data governance and mitigates research risks.
This approach bridges the gap between legal agreements and digital implementation.