NGSDataBooster: Simplifying and democratizing the open deposition of Next Generation Sequencing Data

Category

Contribute

Institutions

ETH Zurich

Data type

Genomic data

Field

Life sciences

Researchers

Rehrauer, Hubert

Abstract

Life science generates vast amounts of next generation sequencing (NGS) data, and there are well-established, FAIR repositories for open access of this data. Still, depositing NGS data in these repositories bears some challenges for life science researchers, leading to data not being deposited and shared.
We propose to implement a web service that simplifies data deposition for life science. Our service, will start from data and meta-information available in omics-data management systems like B-Fabric. It will let the user review and curate the information to be uploaded and will then perform the upload. Our web service will directly help research groups to make their data swiftly accessible in a well-defined and well-documented format in the recognized repositories with world-wide visibility and accessibility. The service will significantly reduce the efforts of making NGS data openly accessible, it will increase the quality of the openly accessible data, and it will make the originators of NGS data, the various research institutes in Switzerland, more visible.

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