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. 2022 Apr 12;6(1):e100268. doi: 10.1136/bmjos-2021-100268

Table 1.

Sub categories of gaps identified in this analysis of the NGS process

Subcategory of gap Description
Uniform work process Gaps related to parts of the entire process that are not yet uniform.
Financial One gap, also linked to HTA, about lack of standardised transaction codes.
ELSI Specific ELSI gaps with a findability/reproducibility component that could be taken up by the working group on data management and/or data processing.
Data standards Gaps that address a variety of issues related to standards.
Data sharing Gaps that, if resolved, would strongly ease sharing of data.
Data quality Gaps influencing the quality of the (sub)processes of genome sequencing.
Data management Gaps that are part of higher level, overarching data management aspects.
Data linking Gaps identifying issues in combining data from various sources.
Data archiving Gaps mainly pointing to sustainable data storage and use.
Data analysis Gaps related to analysis/interpretation of genome sequence data.
Operational Gaps pointing to issues in the (daily) operation of genome sequencing.

ELSI, Ethical, Legal and Social Implications service desk; HTA, Health Technology Assessment; NGS, next generation sequencing.