POST-LICENSING MONITORING OF UNIVERSITY TECHNOLOGIES A PROCESS MODEL FOR RECORDING TECHNOLOGY USE AND LICENCE PAYMENTS

This paper develops a model for monitoring university technologies after a licensing agreement takes effect. Drawing on academic literature and technology transfer guidance, it links records to an agreement, technology asset and reporting period. Delivery of materials, technology use, amounts due and payments received are recorded separately. Each event requires supporting documentation and an assigned reviewer. The model specifies how discrepancies are resolved and how record completeness and timely verification are measured. It also defines tasks for digital support and specialist review. Proposed evaluation measures include verification effort, repeated document requests and time to resolve outstanding issues. The model requires testing on active agreements; its effect on university income has not been measured.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-09
DOI
https://doi.org/10.5281/zenodo.24092134
Primary Topic
Research, Science, and Academia
Type
article
Field-Weighted Citation Impact
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article

POST-LICENSING MONITORING OF UNIVERSITY TECHNOLOGIES A PROCESS MODEL FOR RECORDING TECHNOLOGY USE AND LICENCE PAYMENTS

Sabitov Aidyn Maratovich
Zenodo (CERN European Organization for Nuclear Research)
Research, Science, and Academia
article

POST-LICENSING MONITORING OF UNIVERSITY TECHNOLOGIES A PROCESS MODEL FOR RECORDING TECHNOLOGY USE AND LICENCE PAYMENTS

Sabitov Aidyn Maratovich
article en

Abstract

This paper develops a model for monitoring university technologies after a licensing agreement takes effect. Drawing on academic literature and technology transfer guidance, it links records to an agreement, technology asset and reporting period. Delivery of materials, technology use, amounts due and payments received are recorded separately. Each event requires supporting documentation and an assigned reviewer. The model specifies how discrepancies are resolved and how record completeness and timely verification are measured. It also defines tasks for digital support and specialist review. Proposed evaluation measures include verification effort, repeated document requests and time to resolve outstanding issues. The model requires testing on active agreements; its effect on university income has not been measured.

Zenodo (CERN European Organization for Nuclear Research)
Research, Science, and Academia
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