Interoperability Stories page

Intrinsically Disordered Protein

Intrinsically Disordered Protein Community Interoperability Showcase: Exploiting Bioschemas Markup

In this presentation, the audience heard how the intrinsically disordered protein community had identified a challenge in discovery and integration of data that spans several experimental fields studying protein structure and function, using methods that are domain specific. As such, there are no comprehensive single resources containing all IDPs. Therefore, researchers wishing to see the combined knowledge from resources such as ModiDB, DisProt and PED encountered an onerous integration task. As a solution, the IDP community proposed the creation of a central knowledge graph that could be asked common queries. To achieve this goal, the IDP described their use of bioschemas, JSON-LD, SPARQL, OpenAIRE and FAIRsharing to assemble a knowledge graph that can be queried by researchers seeking a consolidated, integrated view of data from across the IDP community.

FAIRification Template steps: Data access Data retrieval Identifier mapping Vocabulary alignment Data model mapping

DSM categories: Hosting environment capabilities Hosting environment capabilities Hosting environment capabilities

plant-sciences-showcase

Plant Sciences

Plant Sciences Community Showcase

FAIRification Template steps: Identify data types Identifier minting Reusing community identifiers Reusing existing data standards Developing data standards Applying data standards Validating against data standards Selecting data vocabularies Developing data vocabularies Annotating with data vocabularies Managing vocabularies Identifier mapping Vocabulary alignment Data model mapping Data access Data retrieval Data hosting Data versioning Data transfer

rare-disease-community

Rare Disease

Rare Disease Community Interoperability Showcase: examples from EJP RD

FAIRification Template steps: Reusing existing data standards Identifier mapping Vocabulary alignment Data model mapping Data transfer

dcat-bioschemas

Rare Disease

Mapping the DCAT-based EJP RD Metadata Model to Bioschemas for improved interoperability

FAIRification Template steps: Selecting data vocabularies Developing data vocabularies Annotating with data vocabularies Managing vocabularies Identifier mapping Vocabulary alignment Data model mapping

user-journeys

EOSC?

User journeys as means of effectively demonstrating value and engaging stakeholders

Processes: Define FAIRification Goal Post-FAIRification Review

galaxy

Galaxy

Galaxy: a story about interoperability

FAIRification Template steps: Developing data standards Applying data standards Validating against data standards Selecting data vocabularies Developing data vocabularies Annotating with data vocabularies Managing vocabularies Data hosting Data versioning Data transfer

fairtracks

FAIRtracks?

FAIRtracks: FAIRtracks and Omnipy - FAIRtracks interoperability story

FAIRification Template steps: Identify data types Identifier mapping Vocabulary alignment Data model mapping Data hosting Data versioning Data transfer

single-cell-omics-community

Single Cell Omics

Single Cell Omics Community Interoperability Showcase

FAIRification Template steps: Identify data types Developing data standards Applying data standards Validating against data standards

Processes: Define FAIRification Goal

metabolomics-community

Metabolomics

Metabolomics Community & Interoperability Platform - On which subjects could they collaborate?

FAIRification Template steps: Identify data types Developing data standards Applying data standards Validating against data standards Data hosting Data versioning Data transfer

metabolomics-community-24-26

Metabolomics

Metabolomics Community Use Case

Processes: Define FAIRification Goal Project Examination Iterative FAIRification Cycles Post-FAIRification Review

DSM categories: Hosting environment capabilities Hosting environment capabilities

hereditary-project

HEREDITARY Project

HEREDITARY Project – FAIRification of participating data resources

Casado Barbero, M., Boytcheva, S., Valentinova Barouh, M., & Gyurov, P. (2025). Deliverable 3.6: FAIRification of participating data resources (v1.0.0). Zenodo. https://doi.org/10.5281/zenodo.17901862