News

The Tübingen data hub is now operational, with the first data ingested from the University Hospital of Tuebingen. This step also sees GHGA mentioned as a data repository for the first time in a publication.

In a recent publication, the FAIR Workflows Working Group of the Workflow Community Initiative offers recommendations to assist researchers and developers in creating workflows that are easy to share, reusable, and adoptable across disciplines.

As data infrastructures grow, traditional informed consent is under pressure. Can “dynamic consent” respect autonomy better than “broad consent”—or is a new approach needed? New work by A. Bruns and E. C. Winkler explores these pressing ethical questions.

GHGA and NFDI4Health will intensify their collaboration to develop new opportunities for data analyses that will advance the scientific exploitation of personal health data and eventually improve population health.

Celebrating the release of their latest brochure "In Focus: Genomic Data," the working group Gene Technology Report, in cooperation with GHGA, invited the public to an evening event discussing the significance of genomic data in modern medical research and diagnostics.

A recent publication with GHGA contribution introduces nf-core/sarek 3, a comprehensive variant calling and annotation pipeline designed for both germline and somatic samples.

GHGA welcomes the new WHO policy for Genome Data Access, Use and Sharing and follows the call for comments in this community effort.

GHGA, TMF e. V. and other institutions have submitted a joint statement on the Federal Ministry of Health's draft bill for an ordinance on the Genome Sequencing Model Project in accordance with Section 64e(12) of the SGB V.

A recent publication, spearheaded by the Next Generation Sequencing Competence Network (NGS-CN) and GHGA, introduces NCBench, a platform for continuous benchmarking of genomic variant calling workflows.

With the refactoring of the GHGA Metadata Model to version 1.0, we released a white paper summarising the development of the model and describing the modelling framework in detail.

In a recently published white paper, we summarise the results of the PaGODA-Study and present a concept with concrete steps for implementation of meaningful patient involvement in the governance of GHGA.

In a statement, scientists call for a shift in the way data from medical routine care are handled and for a legal basis to be created for standard data use without consent, but with an opt-out solution.