Supporting the establishment, and continuing the monitoring of global partnerships in the
Global Biodata Coalition and the likes and business cases for the long term sustainability of Core
Data Resources, ELIXIR Deposition Databases, and ELIXIR Community Resources.

Most data and literature curation processes are initiated via some entity-centric query (e.g. gene or gene products, a disease, a chemical compound). However, most databases are also interested in accessing and curating contents using other types of modalities: some biological phenomena (e.g. Intrinsically Disordered Proteins) or some domain-specific aspects of biology (e.g. lipidomics, glycomics, rare diseases). These are not easily expressed via a combination of
keywords; therefore non entity-centric literature exploration tools are needed.

The goal of this task is to explore extending the connected ecosystem to any ELIXIR data resource, incorporating and aggregating more orphan data and human data, and providing connectivity with other elements of the ELIXIR infrastructure.

1. Integration of the “long tail” of data into FAIR databases (e.g. supplementary materials)
2. Build and establish aggregation databases, landscape and best practices (cf. community specific databases)

To engage the Communities and increase the uptake of services and to align the Data Platform with other activities (such as FAIRplus, CONVERGE, EIP and the work of the Registries Focus Group) it is proposed to:

Capitalizing on the outcomes of the Work Programme 2019-2021, we continue to support the ELIXIR members to grow their skills and capacities in order to maintain the quality of ELIXIR training, services and resources. The TP continues to expand the Train-the-Trainer (TtT) framework, to increase the skills of ELIXIR trainers as well as their number across Nodes. The Node’s capacity in management and operations will be developed through specific actions aligned with the results of the gap analysis previously performed in the 2019-2021 Work Plan.

The Task 3 has four main objectives:

1. Engage with Training coordinators across the nodes in order to improve the quality, findability and interoperability of TeSS Training Resources,
2. Support the nodes in the implementation of Bioschemas
3. Support the integration of the outcome of Task 2, ELIXIR Training
4. Collections and Learning Paths in TeSS through the participation of TrCs in the TeSS Club,
5. Assess e-learning solutions across ELIXIR.

The objectives of this task are to:

• Identify training gaps
• Facilitate the development of FAIR training materials
• Support and bridge ELIXIR Communities in developing Training Collections and Learning Paths
• Draft a template for ELIXIR certification of training material and courses.

Task 2 will continue to implement the concept of “co-production” between TrP and the collaborating Platforms, Communities or Nodes in the WPs where such interactions are called for.

The ELIXIR Training Platform has developed a series of training best practices and guidelines, covering several aspects of training development and delivery. These practices are the building blocks of the ‘ELIXIR Training Toolkit’, a collection of resources available in the ELIXIR website. The toolkit will be maintained and updated during this task as well as disseminated to the ELIXIR community for its adoption.

Background

Sensitive human data management, access, and analysis is delivering advancements in discovery and application of therapies to treat human disease. The generation and management of the majority of these data is transitioning from the research setting to the healthcare systems across Europe, and therefore is often subject to national/regional legislation that means these data are unable to leave local jurisdictions.

Documented regulatory interactions between Transcription Factors (TFs) and target genes (TGs) form a crucial resource for biological network building. The ExTRI text mining project yielded about 54,000 sentences from literature that proposedly describe a TF-TG interaction, linked to database identifiers. This corpus is now a compelling target for a community curation effort, which will be performed by dedicated curators in this project, and modelers potentially contributing via Cytoscape.