FAIRsFAIR M4.3 CoreTrustSeal+FAIRenabling, Capability and Maturity

This milestone (M4.3) document updates the previous CoreTrustSeal+FAIR Overview and the Draft Maturity Model Based on Extensions and-or Additions to CoreTrustSeal Requirements (M4.2). The latter document provides extensive context and references component documents that provide the foundation for this work. The authors would like to thank the CoreTrustSeal Board for their valuable feedback on a pre-publication version of this text including alignments and target capabilities. The authors acknowledge that while recommending that repositories adopt this approach, no formal adoption and integration into the CoreTrustSeal requirements or processes can take place outside the scheduled, periodic community review process

FAIRsFAIR D4.5 Report on FAIR Data Assessment Toolset and Badging Scheme

Providing practical solutions for implementing FAIR principles throughout the lifecycle of research data is one of the main goals of the FAIRsFAIR project. This report provides an update of the FAIR assessment metrics developed by the task 4.5 team and describes in detail two practical tools for assessing the FAIRness of research data during data acquisition, and for data already archived in a trusted data repository. The tools are named FAIR-Aware, and F-UJI. The report also presents a badging scheme for visualising and sharing the FAIR level of individual datasets

FAIRsFAIR Data Object Assessment Metrics

This specification (v0.4) contains 17 core metrics proposed by FAIRsFAIR to evaluate the FAIRness of research data objects in Trustworthy Digital Repositories (TDRs). Two new metrics representing the FAIR principle A1 have been added into the specification. Metric descriptions (e.g., related resources, comments) were refined based on feedback received from external users and pilot repositories

CoreTrustSeal plus FAIR Overview

This document represents the third alignment of CoreTrustSeal to FAIR requirements to inform repositories seeking to enable FAIR data. Further context is presented in the FAIRsFAIR project milestone: https://doi.org/10.5281/zenodo.4003598

M4.2 Draft Maturity Model Based on Extensions and-or Additions to CoreTrustSeal Requirements

Aligning the CoreTrustSeal Requirements with an assessment of repositories' ability to enable FAIR data is an important part of delivering an EOSC. Trustworthy Digital Repositories (TDR) which enable FAIR data are a dependency for many components of modern, open, distributed research. This paper sets the work within the wider context of data infrastructures, describes the co-dependencies between (meta) data objects and their repository environment, and presents the developing mapping between requirements and principles. The evolving capability/maturity approach is explained and the design of a governed assessment and certification process is defined. This work will iterate alongside the wide range of ongoing data infrastructure initiatives to support a range of stakeholders on their journey towards trustworthy repository services that enable FAIR data. Extensive engagement and feedback are planned to allow us to reach this goal

M4.9 Report on Fair Data Assessment Mechanisms to Develop Pragmatic Concepts for Fairness Evaluation at the Dataset Level

This report is a milestone of the FAIRsFAIR project. It includes two main results on FAIR assessment at the dataset level: The FAIRsFAIR Data Object Assessment Metrics (v0.3) specification contains 15 metrics proposed by FAIRsFAIR to evaluate the FAIRness of research data objects in Trustworthy Digital Repositories (TDRs). We improved the metrics based on a focus group's feedback and the RDA-endorsed FAIR data maturity model guidelines and specification. A total of 33 FAIR stakeholders, such as research communities, data service providers, standard bodies, and coordination fora participated in the focus group. A preprint of the journal article titled ‘From Conceptualization to Implementation: FAIR Assessment of Research Data Objects’, submitted to CODATA Data Science Journal Special collection on RDA. The article summarizes the metrics development, and its two applications: an awareness-raising self-assessment tool, and a tool for automated assessment of research data FAIRness. The article also covers the initial results of testing the tools with researchers and data repositories, and future improvements including the next steps to enable FAIR data assessment in the broader research data ecosystem

D4.4 Coordination Plan for a sustainable network of FAIR-enabling Trustworthy Digital Repositories

This paper is deliverable 4.4 of FAIRsFAIR task 4.2 “Build a European network of FAIR-enabling Trustworthy Digital Repositories (TDRs)” within the FAIRsFAIR Certification work package (WP4). The objective of this task is to build a European network with respect to FAIR data in FAIR-enabling repositories. In this deliverable, FAIRsFAIR advocates for and explores the idea of a European network of TDRs (now) and suggests possible future expansions in scope (later)

D5.8 Pan-European Uptake Final Report

The Charter of the EOSC Task Force on Researcher Engagement and Adoption, set-up in September 2021, states that “The overarching principle for developing EOSC is that research has to be at the core of the EOSC initiative. Thus, deep engagement with research communities is fundamental in order to understand their needs and requirements and ensure that the way in which EOSC operates and the existing and future community services are of use and value to researchers and respect the academic sovereignty of scientific results, research data and digital objects”. Over the last 36 months, FAIRsFAIR has provided practical solutions for the implementation of FAIR data principles throughout the research data life cycle. This has been achieved by fostering FAIR data culture and the uptake of good practices in making data FAIR. The FAIRsFAIR project addressed the development and concrete realisation of academic quality data management, procedures, standards, metrics and related matters, based on the FAIR principles. The engagement of European stakeholders was fundamental across all the activities. To that end, a mix of channels was used with the ultimate aim to ensure active participation and an overall feeling of being part of an enlarged community. For example, a bottom-up approach was established wherever possible and relevant; adaptation and flexibility ensured that the best engagement channels were used to reach each target community. It is important to highlight how the outbreak of the COVID-19 pandemic and the resulting decision to organise workshops as online events had a positive impact on allowing interested participants in several activities to be reached. In particular, the switch to online events was instrumental in involving professionals from universities and other higher education institutions, who usually experience a different set of capacity and budgetary challenges, in attending physical events held outside or far from their countries. But this was also true for other events including the Synchronisation Force series, the national roadshows and the data steward instructor training. The participation of different stakeholders in the online workshops greatly enriched the discussions and contributed to shift the focus from Europe-centric issues involving FAIR research data with international insights and experiences. In order to present the impact achieved, this document presents the activities performed and analyses the related results around the FAIRsFAIR main stakeholders