Taiwan Biobank: making cross-database convergence possible in the Big Data era | Zendy

Jui-Chu Lin | Zendy; Chien-Te Fan | Zendy; Chia-Cheng Liao | Zendy; Yaosheng Chen | Zendy

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Taiwan Biobank: making cross-database convergence possible in the Big Data era

Author(s) -

Jui-Chu Lin,

Chien-Te Fan,

Chia-Cheng Liao,

Yaosheng Chen

Publication year - 2017

Publication title -

gigascience

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.947

H-Index - 54

ISSN - 2047-217X

DOI - 10.1093/gigascience/gix110

Subject(s) - biobank , hash function , data protection act 1998 , data access , data science , computer science , big data , internet privacy , corporate governance , database , computer security , data mining , bioinformatics , business , finance , biology

The Taiwan Biobank (TWB) is a biomedical research database of biopsy data from 200 000 participants. Access to this database has been granted to research communities taking part in the development of precision medicines; however, this has raised issues surrounding TWB's access to electronic medical records (EMRs). The Personal Data Protection Act of Taiwan restricts access to EMRs for purposes not covered by patients' original consent. This commentary explores possible legal solutions to help ensure that the access TWB has to EMR abides with legal obligations, and with governance frameworks associated with ethical, legal, and social implications. We suggest utilizing "hash function" algorithms to create nonretrospective, anonymized data for the purpose of cross-transmission and/or linkage with EMR.

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