FAIRsFAIR teaching and training handbook for HEIs – Google Docs

“The handbook was written and edited by a group of about 40 collaborators in a series of six book sprint events that took place between 1 and 10 June 2021. It aims to support higher education institutions the practical implementation of content relating to the FAIR principles in their curricula and teaching by providing practical material, such as lesson plans, and supporting information.

The feedback to the current draft version for public review will inform future iterations. The final version of the handbook will be published in December 2021. …”

FAIR + Time: Preservation for a Designated Community

“Digital objects are inextricably dependent on their context, the infrastructure of people, processes, and technology that care for them. The FAIR Principles are at the heart of the data ecosystem, but they do not specify how digital objects are made FAIR or for how long they should be kept FAIR. This perspective is provided by the Trustworthy Digital Repository (TDR) requirements by defining long-term digital object preservation expectations. We’re all doing something for someone, and to deliver an effective service at scale, we need a sense of the types of users we have and how we can meet their needs, also in the future. 

FAIRsFAIR, SSHOC, and EOSC Nordic are all supporting digital repositories in their journey to achieve TDR status. When sharing experiences, the project teams found out that two fundamental TDR concepts are not always easy to understand: preservation and Designated Community. The draft working paper FAIR + Time: Preservation for a Designated Community was prepared in collaboration with the three projects. It seeks to present key concepts and expand on them to specify the standards and assessments required for an interoperable ecosystem of FAIR (findable, accessible, interoperable and reusable) data preserved for the long term in generalist and specialist FAIR-enabling trustworthy digital repositories (TDR) for a defined designated community of users. It seeks to provide context and define these concepts for audiences familiar with research data and technical data management systems but with less direct experience of digital preservation and trustworthy digital repositories. This is intended to help clarify which organisations are potential candidates to receive CoreTrustSeal TDR status and identify and support the types of organisations that may not be candidates but play a vital role in the data ecosystem. …”

FAIRsFAIR Repository Support Series Webinars | FAIRsFAIR

“FAIRsFAIR monthly webinar series aims to help repository managers become familiar with FAIR-enabling practices. Each webinar will provide an overview of a specific FAIR-enabling activity, share information on recent developments within FAIRsFAIR and other initiatives as well as offering examples of good practice, practical tips and recommendations. Each webinar will last a maximum in 1.5 hours and include time for questions and discussion. Registration is free and open to all however the main audience is repository managers and service providers. Data stewards and developers may also find the session informative.

You can check this page to see additional webinars as topics/dates/times are confirmed or register below to receive notifications by email’. The series will run monthly, from April 2021-February 2022….”

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….”

M3.5 Draft Description of FAIRsFAIR’s Transition Support Programme for Repositories | Zenodo

“FAIRsFAIR is working to better define good practice for repositories through our involvement in certification efforts that enable FAIR data. This draft document 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.

This brief description outlines some of the actions that can help repositories on their journey towards better alignment with the FAIR data principles and the support that FAIRSFAIR could provide. Please help us to shape the work FAIRsFAIR will do over the remainder of the project to develop and provide support for repositories of all types. We eagerly look for your feedback on:

the recommended actions – do these reflect your repository mission and aims? Have we missed something? 

the support that FAIRsFAIR could provide – are some of the suggested support areas more helpful for your repository than others? Is there anything missing? 

Please share your feedback with us by August 21, 2020 by adding comments to the working version using ‘Suggesting’ mode. From the feedback we receive, FAIRsFAIR will prioritise its activities to develop guidance and provide support. The prioritised plan will be shared in the final version of the support programme in October 2020 (D3.5 Transition Support Programme for Repositories). 

The working version for public comment is available at https://docs.google.com/document/d/1VXgrZZi23KrahihQ5Fp_Ym4IJ79FNKCWoridTzXlHOc/edit?usp=sharing  …”

FAIRsFAIR’s Transition Support Programme for Repositories | FAIRsFAIR

“Are you looking to make your repository content more findable, accessible, interoperable and reusable (FAIR)? We have published a Draft Description of FAIRsFAIR’s Transition Support Programme for Repositories and your contributions are invited.

FAIRsFAIR is working to better define good practice for repositories through our involvement in certification efforts that enable FAIR data. We have now drafted a proposed programme of transition support to help repositories adopt these emerging good practices. There is a focus on supporting FAIR data provision, improving the handling and integration of metadata, and increasing the emphasis on data stewardship to ensure data remains FAIR in the long term. 

Please help us to shape the work we will do over the remainder of the project to develop and provide support for repositories of all types. In particular we are looking for your feedback on:

the recommended actions – do these reflect your repository mission and aims? Have we missed something?

the support that FAIRsFAIR could provide – are some of the suggested support areas more helpful for your repository than others? Is there anything missing?…”