Theme: Data Deposition
Human data, especially genomic data, is increasingly being federated across borders and institutions, with many stakeholders participating in multinational and global biomedical and health data networks, fostering collaborations and partnerships. While such international efforts are essential for the compilation and reuse of data, regulatory constraints often hinder the movement of certain data beyond organisational or national boundaries. Centralised approaches such as the Central European Genome-Phenome Archive (CEGA) are valuable, but not all data can be centralised.
The Federated European Genome-phenome Archive network (FEGA) addresses this, with early work concentrated on local collection of data with central archiving of metadata. FHDportal aims to support both federated and central submission of metadata. It will do this by providing a reusable portal for gathering and storing metadata at a national level, and submitting required metadata centrally to enable discovery of datasets via the CEGA. FHDportal complements the existing system by providing a way to explore richer metadata (for example, including detailed information on specific datasets or local funding information), while enabling a core set of metadata to be queried centrally.
FHDportal will be deployed and tested on FEGA nodes, and should be of interest to the many other countries seeking to join FEGA. The need for FHDportal is based on experience during onboarding and in moving to production nodes. It will offer a common solution for local mobilisation of data and metadata, which can be adapted to local situations. During development, it will be tested on both new and well-established nodes using different technical platforms and infrastructures. The resulting software will be provided to the whole community, and will hopefully become part of the emerging toolkit for new FEGA nodes wishing to establish themselves, and to ensure their nodes meet local needs while bringing European scale benefits.
The SIB Text Mining will develop a service powered by a dedicated language model to support the semi-automatic assignment of descriptors at deposition time. The service aims at facilitating the provision of meta-data by end-users as explored in
Teodoro et al. 2017.
Nodes involved: ELIXIR Switzerland, ELIXIR Finland, ELIXIR Luxembourg, ELIXIR UK
Communities: Federated Human Data, Human Copy Number Variation