Swapping data: A pragmatic approach for enabling academic-industrial partnerships

Author:

Kasprzak Julia1ORCID,Frey Simon2,Oetlinger Hermann2,Benedikt Westphalen C.1,Erickson Nicole1,Heinemann Volker13,Nasseh Daniel1

Affiliation:

1. Comprehensive Cancer Center Munich, University Hospital, LMU Munich, Munich, Germany

2. Roche Pharma AG, Grenzach-Wyhlen, Germany

3. German Cancer Consortium (DKTK, partner site Munich), German Cancer Research Center (DKFZ), Heidelberg, Germany

Abstract

Objectives Academic institutions have access to comprehensive sets of real-world data. However, their potential for secondary use—for example, in medical outcomes research or health care quality management—is often limited due to data privacy concerns. External partners could help achieve this potential, yet documented frameworks for such cooperation are lacking. Therefore, this work presents a pragmatic approach for enabling academic-industrial data partnerships in a health care environment. Methods We employ a value-swapping strategy to facilitate data sharing. Using tumor documentation and molecular pathology data, we define a data-altering process as well as rules for an organizational pipeline that includes the technical anonymization process. Results The resulting dataset was fully anonymized while still retaining the critical properties of the original data to allow for external development and the training of analytical algorithms. Conclusion Value swapping is a pragmatic, yet powerful method to balance data privacy and requirements for algorithm development; therefore, it is well suited to enable academic-industrial data partnerships.

Funder

Roche Pharma AG

Publisher

SAGE Publications

Subject

Health Information Management,Computer Science Applications,Health Informatics,Health Policy

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