Neuer Artikel zu DLT in Genomics publiziert von dem Journal of the American Medical Informatics Association

(21.05.2022) Unser Artikel “A scoping review of distributed ledger technology in genomics: thematic analysis and directions for future research” von Mikael Beyene, Philipp A. Toussaint, Scott Thiebes, Matthias Schlesner, Benedikt Brors und Ali Sunyaev wurde von dem Journal of the American Medical Informatics Association publiziert. Der Artikel wurde “open access” publiziert und ist frei zugänglich.

Artikel auf Verlagswebsite lesen:  https://academic.oup.com/jamia/advance-article-abstract/doi/10.1093/jamia/ocac077/6589998

Abstract:

Objective

Rising interests in distributed ledger technology (DLT) and genomics have sparked various interdisciplinary research streams with a proliferating number of scattered publications investigating the application of DLT in genomics. This review aims to uncover the current state of research on DLT in genomics, in terms of focal research themes and directions for future research.

Materials and Methods

We conducted a scoping review and thematic analysis. To identify the 60 relevant papers, we queried Scopus, Web of Science, PubMed, ACM Digital Library, IEEE Xplore, arXiv, and BiorXiv.

Results

Our analysis resulted in 7 focal themes on DLT in genomics discussed in literature, namely: (1) Data economy and sharing; (2) Data management; (3) Data protection; (4) Data storage; (5) Decentralized data analysis; (6) Proof of useful work; and (7) Ethical, legal, and social implications.

Discussion

Based on the identified themes, we present 7 future research directions: (1) Investigate opportunities for the application of DLT concepts other than Blockchain; (2) Explore people’s attitudes and behaviors regarding the commodification of genetic data through DLT-based genetic data markets; (3) Examine opportunities for joint consent management via DLT; (4) Investigate and evaluate data storage models appropriate for DLT; (5) Research the regulation-compliant use of DLT in healthcare information systems; (6) Investigate alternative consensus mechanisms based on Proof of Useful Work; and (7) Explore DLT-enabled approaches for the protection of genetic data ensuring user privacy.

Conclusion

While research on DLT in genomics is currently growing, there are many unresolved problems. This literature review outlines extant research and provides future directions for researchers and practitioners.