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Nowadays, the FAIR Principles guide data policy actions and professional practices in the public and private sectors. However, despite such global endorsements, the FAIR Principles are aspirational, remaining elusive at best, and intimidating at worst. To address the lack of practical guidance, and help with capability gaps, we developed the FAIR Cookbook, an online resource of hands-on recipes for “FAIR doers” in the Life Sciences. Launched in 2020, and created by researchers and data managers professionals in academia, pharmas and information service industries, the FAIR Cookbook covers the key steps in a FAIRification journey, the levels and indicators of FAIRness, the maturity model, the technologies, the tools and the standards available, as well as the skills required, and the challenges to achieve and improve data FAIRness. In this pre-print, we present the FAIR Cookbook, its creation and content, its value, use and adoptions, as well as the participatory process, collaborative plans for sustainability, and its adoption.The full list of FAIR Cookbook Recipes’ Authors is here.

Nowadays, the FAIR Principles guide data policy actions and professional practices in the public and private sectors. However, despite such global endorsements, the FAIR Principles are aspirational, remaining elusive at best, and intimidating at worst. To address the lack of practical guidance, and help with capability gaps, we developed the FAIR Cookbook, an online resource of hands-on recipes for “FAIR doers” in the Life Sciences. Launched in 2020, and created by researchers and data managers professionals in academia, pharmas and information service industries, the FAIR Cookbook covers the key steps in a FAIRification journey, the levels and indicators of FAIRness, the maturity model, the technologies, the tools and the standards available, as well as the skills required, and the challenges to achieve and improve data FAIRness. In this pre-print, we present the FAIR Cookbook, its creation and content, its value, use and adoptions, as well as the participatory process, collaborative plans for sustainability, and its adoption.The full list of FAIR Cookbook Recipes’ Authors is here. At European Commission (EC) level, the FAIR Cookbook is recommended by the IMI/IHI Project Guidelines for “Open Access to Publication and Research Data, and the Horizon Europe Work Programme for Health; and it is among the ELIXIR flagship resources, and it is embedded in the ELIXIR Scientific Programme. For more information, please, contact the Editorial Board at faircookbook-ed@elixir-europe.org

Document detailing ELIXIR Europe's strategy for engagement with the European Open Science Cloud (EOSC)as produced by the ELIXIR-EOSC Focus Group, 2022.

This glossary was created by the consortium partners of the European project HealthyCloud with the aim of establishing agreed definitions of commonly used terms to harmonise the work of the project. The aim is that the glossary can also be used by other projects working in similar areas. The glossary was created through a series of glossary working group calls, during which each definition was discussed and agreed upon. This is a living document that will be updated regularly with the addition of new terms and modifications, if needed, of the terms and definitions currently there. This is the second version of the HealthyCloud glossary, in which new terms have been added based on a need perceived in the glossary working group. Some existing terms have been modified to align with the recently published Proposal for a Regulation on the European Health Data Space (EHDS). In addition, sections have been created for terms relating to specific topics (e.g., artificial intelligence, profiles as defined in HealthyCloud). &nbsp

Presented at the FAIR-IMPACT kick-off meeting. Introduces the EOSC4Cancer projects and potential synergies with FAIR-IMPACT work.

Web-version: https://w3id.org/ro/crate/1.1 This document specifies a method, known as RO-Crate (Research Object Crate), of organizing file-based data with associated metadata, using linked data principles, in both human and machine readable formats, with the ability to include additional domain-specific metadata. The core of RO-Crate is a JSON-LD file, the RO-Crate Metadata File, named ro-crate-metadata.json. This file contains structured metadata about the dataset as a whole (the Root Data Entity) and, optionally, about some or all of its files. This provides a simple way to, for example, assert the authors (e.g. people, organizations) of the RO-Crate or one its files, or to capture more complex provenance for files, such as how they were created using software and equipment. While providing the formal specification for RO-Crate, this document also aims to be a practical guide for software authors to create tools for generating and consuming research data packages, with explanation by examples.

Web-version: https://w3id.org/ro/crate/1.0 This document specifies a method, known as RO-Crate (Research Object Crate), of organizing file-based data with associated metadata, using linked data principles, in both human and machine readable formats, with the ability to include additional domain-specific metadata. The core of RO-Crate is a JSON-LD file, the RO-Crate Metadata File, named ro-crate-metadata.jsonld. This file contains structured metadata about the dataset as a whole (the Root Data Entity) and, optionally, about some or all of its files. This provides a simple way to, for example, assert the authors (e.g. people, organizations) of the RO-Crate or one its files, or to capture more complex provenance for files, such as how they were created using software and equipment. While providing the formal specification for RO-Crate, this document also aims to be a practical guide for software authors to create tools for generating and consuming research data packages, with explanation by examples.

Web-version: https://w3id.org/ro/crate/0.2 This document specifies a method, known as RO-Crate (Research Object Crate), of organizing file-based data with associated metadata, using linked data principles, in both human and machine readable formats, with the ability to include additional domain-specific metadata. The core of RO-Crate is a JSON-LD file, the RO-Crate Metadata File, named ro-crate-metadata.jsonld. This file contains structured metadata about the dataset as a whole (the Root Data Entity) and, optionally, about some or all of its files. This provides a simple way to, for example, assert the authors (e.g. people, organizations) of the RO-Crate or one its files, or to capture more complex provenance for files, such as how they were created using software and equipment. While providing the formal specification for RO-Crate, this document also aims to be a practical guide for software authors to create tools for generating and consuming research data packages, with explanation by examples.

Data Management Plan of the HealthyCloud project (https://healthycloud.eu/).HealthyCloud Coordination and Support Action, funded by the European Commision under the H2020 program,will deliver a Strategic Agenda including a Ready-to-implement Roadmap for the Health Research and Innocation Cloud,one of the major cornerstone pieces for of the future European Health Data Space.