D7.4 How to be FAIR with your data. A teaching and training handbook for higher education institutions | Zenodo

Engelhardt, Claudia, Biernacka, Katarzyna, Coffey, Aoife, Cornet, Ronald, Danciu, Alina, Demchenko, Yuri, Downes, Stephen, Erdmann, Christopher, Garbuglia, Federica, Germer, Kerstin, Helbig, Kerstin, Hellström, Margareta, Hettne, Kristina, Hibbert, Dawn, Jetten, Mijke, Karimova, Yulia, Kryger Hansen, Karsten, Kuusniemi, Mari Elisa, Letizia, Viviana, … Zhou, Biru. (2022). D7.4 How to be FAIR with your data. A teaching and training handbook for higher education institutions (V1.1 DRAFT) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.5837500

This handbook aims to support higher education institutions with the integration of FAIR-related content in their curricula and teaching.  It 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. The document provides practical material, such as competence profiles, learning outcomes and lesson plans, and supporting information. It incorporates community feedback received during the public consultation which ran from 27 July to 12 September 2021.

D7.4 How to be FAIR with your data. A teaching and training handbook for higher education institutions | Zenodo

Abstract:  This handbook aims to support higher education institutions with the integration of FAIR-related content in their curricula and teaching.  It 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. The document provides practical material, such as competence profiles, learning outcomes and lesson plans, and supporting information. It incorporates community feedback received during the public consultation which ran from 27 July to 12 September 2021.

 

FAIRsFAIR project publishes FAIR teaching and training adoption handbook and good practices report

“In December 2021, partners of FAIRsFAIR’s WP7 on “Data Science and Professionalisation” published the two final deliverables of the WP: the adoption handbook “How to be FAIR with your data: a teaching and training handbook for higher education institutions” and the report “Good Practices in FAIR Competence Education”.

Both documents represent practical tools for universities to develop new teaching and training activities that can support the uptake of research data management (RDM) and FAIR data skills at the bachelor, master and doctoral level….

The adoption handbook provides ready-to-use model lesson plans on a variety of topics, including FAIR data, Data Management Plans (DMPs), repositories, data creation and reuse. In addition, it offers FAIR competence profiles and learning outcomes for the bachelor, master and doctoral levels as well as information on course design and the implementation of the FAIR principles on the institutional level. 

The deliverable is available on Zenodo, here. …”

FAIRsFAIR 2022 Final Event | FAIRsFAIR

Public Session, Wednesday 26th of January, 14:00 – 17:00 CET

During this session, representatives from FAIRsFAIR will debate on the core aspects of implementing FAIR with outstanding representatives of the European and international research community. How can we ensure the sustainability of FAIR practices? How are universities in Europe implementing and ensuring implementation of FAIR policies by students, educators and trainers? How do we combine the FAIR principles with data preservation in the long-term? And last but not least: how do we ensure the FAIR principles are truly turned into common practices to be continuously implemented by researchers and supported by funding agencies? The concluding session will look at the national perspective, asking ourselves how we can ensure that European sovereignty deals with national and language dimensions when dealing, for instance, with aspects related to ontologies, vocabularies and specific local cultural aspects.

FAIRsFAIR documents for community review | FAIRsFAIR

“FAIRsFAIR has published the “CoreTrustSeal+FAIRenabling, Capability and Maturity Report”, an updated version of the previous CoreTrustSeal+FAIR Overview and the Draft Maturity Model Based on Extensions and-or Additions to CoreTrustSeal Requirements, both published in August 2020. The report was written for data repositories and received feedback from CoreTrustSeal Board. It presents updates to the FAIRsFAIR alignment of CoreTrustSeal with repository characteristics that enable FAIR data. Though many of the CoreTrustSeal Requirements contribute to enabling FAIR data, each FAIR Principle is aligned with a single CoreTrustSeal Requirement to streamline the preparation of self-assessment statements and supporting evidence. In this text each “Requirement to Principle” mapping is presented alongside the current iteration of RDA FAIR  Data  Indicators  and  the  current  FAIR  tests  as  implemented  by  the  F-UJI  tool.  Together these provide all the context necessary for a repository to self-assess as a CoreTrustSeal TDR that enables FAIR data.

Your comments and suggestions regarding the current version will help us produce the most helpful report possible so please use the link below to access the report as a Google doc and insert your feedback directly….”

FAIRsFAIR Repository Support Series Webinars | FAIRsFAIR

“FAIRsFAIR 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.”

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.