FAIRsFAIR Repository Support Series – The role of Repositories in enabling Persistent Identifier (PID) Graphs

Persistent Identifiers (PIDs) play a central role in the FAIR ecosystem. PIDs enable the unique identification of digital entities and provide a way for us to refer to entities in a persistent way. The power of PIDs is amplified when they are connected with each other, creating a PID Graph. This webinar will dive into the concept of the PID Graph and their usefulness for repositories. You will hear about the PID Graph developments that have taken place in the context of the EOSC through the FREYA project as well as within the RDA Interest Group on Open Science Graphs for FAIR Data. Finally, the webinar will close with an outlook on the work being done to support PID Graphs and the ongoing and upcoming activities taking place in the FAIRsFAIR project.  This webinar is the first of our series to support repositories to become more FAIR-enabling.

 

DataCite Repository Selector

“Repository Finder, a pilot project of the Enabling FAIR Data Project led by the American Geophysical Union (AGU) in partnership with DataCite and the Earth, space and environment sciences community, can help you find an appropriate repository to deposit your research data. The tool is hosted by DataCite and queries the re3data registry of research data repositories….”

As part of the FAIRsFAIR project, which aims to supply practical solutions for the use of the FAIR data principles throughout the research data life cycle, the Repository Finder is extended to query for repositories relevant to FAIRsFAIR Project….”

FAIR services & infrastructure: Proposing an assessment framework for FAIR-enabling data services | FAIRsFAIR

“For providers of data services across the full range of scientific disciplines, this webinar will present a first version of an assessment framework under development by FAIRsFAIR.

The framework is fully described in the recently published Report on Basic Framework on FAIRnesss of Services and aims to assist providers to ensure their data services are ‘FAIR enabling’. This is because realising the full potential of a FAIR ecosystem in which research outputs can be easily shared and optimally reused, requires looking beyond the FAIRification of data and other digital objects to consider the infrastructure and services that act on those objects.

Webinar participants will be guided through the key elements of the assessment framework – both technical and social – and the most important recommendations to data services providers for achieving incremental improvements….”

FAIR services & infrastructure: Proposing an assessment framework for FAIR-enabling data services | FAIRsFAIR

“For providers of data services across the full range of scientific disciplines, this webinar will present a first version of an assessment framework under development by FAIRsFAIR.

The framework is fully described in the recently published Report on Basic Framework on FAIRnesss of Services and aims to assist providers to ensure their data services are ‘FAIR enabling’. This is because realising the full potential of a FAIR ecosystem in which research outputs can be easily shared and optimally reused, requires looking beyond the FAIRification of data and other digital objects to consider the infrastructure and services that act on those objects.

Webinar participants will be guided through the key elements of the assessment framework – both technical and social – and the most important recommendations to data services providers for achieving incremental improvements….”

Open call for policy enhancement support | FAIRsFAIR

“Based on an initial landscape assessment and the work of related initiatives, FAIRsFAIR has prepared a series of recommendations for policy enhancement (https://doi.org/10.5281/zenodo.3686900) to support the realisation of a FAIR ecosystem. We invite expressions of interest from policy makers at all levels to work with us to assess their current policies against these recommendations and to consider how the policies might be adapted to better support the emergence of a FAIR ecosystem.

We are keen to work with policy makers in various settings (national, funding body, publisher, organisational, research infrastructure, repository) and at different levels of policy development and implementation….”

Recommendations on FAIR metrics for EOSC – Publications Office of the EU

Abstract:  The Recommendations on FAIR Metrics for EOSC document contains an analysis of activities relevant to the definition of FAIR Metrics in the EOSC context. It makes recommendations on the definition and implementation of metrics, proposes a set of metrics for FAIR data in EOSC to be extensively tested, offers an analysis of gaps and potential opportunities for extension, and defines priorities for future work. The report analyses recent and on-going activities relevant to the definition of FAIR metrics for data and other research objects at the European and international levels, in particular in the FAIRsFAIR project and RDA. It also discusses the maintenance of Turning FAIR into reality Recommendations and Action Plan and of the FAIR guiding principles themselves. It then offers seven recommendations on the definition and implementation of FAIR metrics.

 

FAIR metrics and certification, rewards and recognition, skills and training: FAIRsFAIR contribution to the EOSC Strategic Research and Innovation Agenda | FAIRsFAIR

“FAIRsFAIR is a key contributor to the ongoing development of global standards for FAIR data and repository certification and to the policies and practices that will turn the EOSC programme into a functioning infrastructure. The project strongly endorses all of the guiding principles already identified as relevant to implementing the EOSC vision, with a special emphasis on the importance of FAIR-by-design tools. The guiding principles are a multi-stakeholder approach; data as open as possible and as closed as necessary; implementation of a Web of FAIR data and related services for science; federation of existing research infrastructures; and the need for machine-run algorithms transparent to researchers)….”

Integrating FAIR Data Science Competences in Higher Education Curricula: The Role of Academic and Research Libraries  | FAIRsFAIR

“Our point of departure for the workshop was to present the findings from FAIRsFAIR survey activites conducted by the European University Association (EUA) in collaboration with partners of the FAIRsFAIR project during 2019 to investigate the extent to which FAIR research data management principles are present in university curricula. These findings and the related recommendations are documented in the recently published report D7.1 FAIR in Higher Education.  For easy reference, a quick graphic overview of the report is provided at this webpage. 

The findings most pertinent to workshop participants include:

Awareness of the FAIR principles is considered high among professional and support staff (e.g. data stewards, librarians), moderate among the institutional leadership, but still rather low among researchers and especially students.
Higher education institutions are increasingly aware of the need to integrate digital skills into their curricula. Only 38% of respondents to this question stated that their organisation had a related strategy in place at institutional or departmental level – or both. However 31% stated that although there was no strategy yet in place, their institution was developing one.
The extent to which data science skills are currently being addressed in university teaching is reported to be rather low overall at the bachelor and master level and moderate at the doctoral level. Respondents expressed an urgent need to strengthen the teaching of data-related competences at all three levels. …”

FAIRsFAIR

“FAIRsFAIR – Fostering Fair Data Practices in Europe – aims to supply practical solutions for the use of the FAIR data principles throughout the research data life cycle. Emphasis is on fostering FAIR data culture and the uptake of good practices in making data FAIR. FAIRsFAIR will play a key role in the development of global standards for FAIR certification of repositories and the data within them contributing to those policies and practices that will turn the EOSC programme into a functioning infrastructure.

In the end, FAIRsFAIR will provide a platform for using and implementing the FAIR principles in the day to day work of European research data providers and repositories. FAIRsFAIR will also deliver essential FAIR dimensions of the Rules of Participation (RoP) and regulatory compliance for participation in the EOSC. The EOSC governance structure will use these FAIR aligned RoPs to establish whether components of the infrastructure function in a FAIR manner….”

M3.5 Description of Transition Support Programme for Repositories for consultation – Google Docs

“FAIRsFAIR is working to better define good practice for repositories through our involvement in certification efforts that enable FAIR data. D3.5 “Description of transition support programme for repositories” describes a proposed programme of support which will help repositories to adopt these emerging good practices. There is a focus on supporting FAIR data provision, improved handling and integration of metadata, and an increased emphasis on data stewardship to ensure data remains FAIR in the long term….”