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The FAIR Funding Model: Providing a Framework for Research Funders to Drive the Transition toward FAIR Data Management and Stewardship Practices

Margreet Bloemers, Annalisa Montesanti
2019 Data Intelligence  
The model facilitates to create research data with a high level of FAIRness that are meaningful for a research community.  ...  Also reusable research data are recognized as relevant output for gaining impact. RFOs are therefore promoting FAIR research data management and stewardship (RDM) in their research funding cycle.  ...  Kate Holmes of the Stroke Association for their input to the article.  ... 
doi:10.1162/dint_a_00039 fatcat:trhf6ikpkjfm3hx2ss6iiotnha

D7.1: Skills landscape analysis and competence model [article]

Angus Whyte, Kevin Ashley
2017 Zenodo  
The report provides an analysis of EOSC stakeholder policy priorities for skills development, identifying these with data stewardship, a broad set of skills covering open science, data management, data  ...  Informed by those needs, Section 6 provides a draft EOSCpilot competence framework, the first part of the skills framework. Conclusions for further engagement with stakeholders in skills development.  ...  RDS recently started a Data Stewardship project, which aims to embed good research data management across the university.  ... 
doi:10.5281/zenodo.3395401 fatcat:rtpy4ckmkncqvfknq24b6hvy6q

11,000 researchers gave their views on data sharing, here's what we learned

Mithu Lucraft, Samuel Winthrop
2019 Septentrio Conference Series  
Better credit: to make data sharing worth a researcher's time. Explicit funding: for data management and data sharing, as well as data publishing.  ...  Increasingly, funders and other expert groups (European Commission 2018) are emphasising the need for data that is FAIR (findable, accessible, interoperable and re-useable).  ...  Making research workflows FAIR The transition to FAIR data heralds a shift in research practice, in particular towards recognising that data are a key research output type.  ... 
doi:10.7557/5.4917 fatcat:lbj5yyjetzekbnc3d54u65sfce

Early career researchers want Open Science

Andrea Farnham, Christoph Kurz, Mehmet Ali Öztürk, Monica Solbiati, Oona Myllyntaus, Jordy Meekes, Tra My Pham, Clara Paz, Magda Langiewicz, Sophie Andrews, Liisa Kanninen, Chantal Agbemabiese (+14 others)
2017 Genome Biology  
Open Science is encouraged by the European Union and many other political and scientific institutions. However, scientific practice is proving slow to change.  ...  We propose, as early career researchers, that it is our task to change scientific research into open scientific research and commit to Open Science principles.  ...  Acknowledgments The authors express gratitude to LERU, LUMC, Leiden University, and DTL who co-organized the 2016 LERU Doctoral Summer School, and thank all the tutors for their contribution, especially  ... 
doi:10.1186/s13059-017-1351-7 pmid:29141654 pmcid:PMC5688730 fatcat:g7usuecodfbz7mogfs3ks3eofy

National OSC initiatives models [article]

Eleni Toli, Elli Papadopoulou, Christos Liatas, Electra Sifakaki, Ilias Papastamatiou, Ognjen Prnjat
2020 Zenodo  
for setting up National Open Science Cloud Initiatives, whose aim is to become important contributors to the EOSC governance.  ...  Deliverable D2.2 – National OSC initiatives models - examines existing Open Science policies and models in Europe, describes the elements an Open Science Cloud model should include, and proposes workflows  ...  Acknowledgment Recommendations Austria has no national policies, but the Austrian Science Fund (FWF), Austria's central funding organization for basic research, stipulates OA to research data collected  ... 
doi:10.5281/zenodo.4061800 fatcat:nk7spvxzbjhljaem4h4zumfxga

D7.2 Briefing on FAIR Competences and Synergies

Pedro Principe, André Vieira, Lennart Stoy, Claudia Engelhardt, Bregt Saenen, Joy Davidson, Angus Whyte, Yuri Demchenko, Patricia Herterich, Ellen Leenarts
2020 Zenodo  
It presents eight different skills frameworks in the field of RDM, data stewardship, and Open Science and provides a summary of the main elements and coverage of skills and competences of each.  ...  This report provides an overview and analysis of different existing competence frameworks, resources and training initiatives in the field of RDM, Open Science and FAIR data, with the purpose to inform  ...  OpenAIRE is providing to the community a set of support materials and training activities targeted at a range of stakeholders, such as researchers, content providers, research managers, funders, research  ... 
doi:10.5281/zenodo.5361913 fatcat:5pebys7lfzesznumanjgmtb6fe

Draft extended data policy framework for Photon and Neutron RIs

Brian Matthews, Abigail McBirnie, Andrei Vukolov, Alun Ashton, Stephen Collins, Sylvie Da Graca Ramos, Brigitte Gagey, Alejandra Gonzalez-Beltran, Maria Johnsson, Rolf Krahl, Majid Ounsy, Mirjam Van Daalen
2020 Zenodo  
As the report's key output, we present thirty elements that should inform a data policy framework for photon and neutron research infrastructures.  ...  Recent developments within European science policy, in particular the drive towards supporting FAIR data in the European Open Science Cloud has meant that it is timely to review and revise these data policies  ...  There is a large body of work which has tried to capture and codify best practice around good data management and FAIR data practices.  ... 
doi:10.5281/zenodo.4014811 fatcat:wxmiupqomndadju7l4phan4oku

Turning FAIR data into reality: interim report from the European Commission Expert Group on FAIR data

Simon Hodson, Sarah Jones, Sandra Collins, Françoise Genova, Natalie Harrower, Leif Laaksonen, Daniel Mietchen, Rūta Petrauskaité, Peter Wittenburg
2018 Zenodo  
The FAIR Data Expert Group was also asked to contribute to the evaluation of the Horizon 2020 Data Management Plan template and future revisions in light of harmonisation with funders across the EU, including  ...  The Group has a remit to provide recommendations, indicators and input on the financing of activities required to turn FAIR data into reality at an EU, Member State and international level.  ...  Making research workflows FAIR The transition to FAIR data heralds a shift in research practice, in particular towards recognising that data is a key research output and an essential component of the research  ... 
doi:10.5281/zenodo.1285272 fatcat:cayevf4vkfeuhbfcfc3srfhqpi

M6.9 Report on Final Review of Fair Competencies Landscape

Elizabeth Newbold, Gabin Kayumbi-Kabye
2021 Zenodo  
This report is a milestone of the FAIRsFAIR project. The purpose of the milestone is to provide a periodic review of FAIR competencies landscape during the course of the project.  ...  The report summarises some of the models of competence centre support available to communities of practice at the national, regional and EOSC level that have become available or changed in the 18 months  ...  A National Framework on the Transition to an Open Research Environment was launched in July 2019 including actions on enabling FAIR research 20 data as well as setting an agenda for skills and competencies  ... 
doi:10.5281/zenodo.5708088 fatcat:cysawiykizd2bgcugnv7deck6m

D3.2 FAIR Data Practice Analysis

Angus Whyte, Claudia Engelhart, Daniel Bangert, Gabin Kayumbi-Kabeya, Simon Lambert, Mark Thorley, Ryan O'Connor, Patricia Herterich, Joy Davidson
2019 Zenodo  
This document provides an analysis of practices to support FAIR data production within a broad selection of research disciplines and research data repositories.  ...  These include developing a self-assessment framework for research infrastructures and institutions on their progress to support FAIR enabling practices in the communities they serve.  ...  A DAS requirement encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publication and results.  ... 
doi:10.5281/zenodo.5362079 fatcat:tfvdufbxurcozpxbu7bipa24tm

D3.2 FAIR Data Practice Analysis

Angus Whyte, Claudia Engelhart, Daniel Bangert, Gabin Kayumbi-Kabeya, Simon Lambert, Mark Thorley, Ryan O'Connor, Patricia Herterich, Joy Davidson
2019 Zenodo  
This document provides an analysis of practices to support FAIR data production within a broad selection of research disciplines and research data repositories.  ...  These include developing a self-assessment framework for research infrastructures and institutions on their progress to support FAIR enabling practices in the communities they serve.  ...  A DAS requirement encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publication and results.  ... 
doi:10.5281/zenodo.3581352 fatcat:7hjxcqaucnbblcgmvntpnv5dra

D3.4 Recommendations on practice to support FAIR data principles

Laura Molloy, Josefine Nordling, Marjan Grootveld, René van Horik, Angus Whyte, Joy Davidson, Patricia Herterich, Ivan Martin, Eva Méndez, Pedro Principe, André Vieira, Ari Asmi
2020 Zenodo  
Building upon an analysis of the research data practice landscape in 2019, FAIRsFAIR has prepared a series of recommendations for practical actions to support the realisation of a FAIR ecosystem.  ...  These recommendations will be used to inform the development of guidance resources to support further adoption of FAIR data standards and practices by research communities.  ...  We also recommend the development of a self-assessment framework for research institutions and infrastructures to gauge progress towards building their FAIR data stewardship capabilities. D.  ... 
doi:10.5281/zenodo.3924132 fatcat:jqp6cikz6nf3tckclseiy6mq5q

D3.4 Recommendations on practice to support FAIR data principles

Laura Molloy, Josefine Nordling, Marjan Grootveld, René van Horik, Angus Whyte, Joy Davidson, Patricia Herterich, Ivan Martin, Eva Méndez, Pedro Principe, André Vieira, Ari Asmi
2020 Zenodo  
Building upon an analysis of the research data practice landscape in 2019, FAIRsFAIR has prepared a series of recommendations for practical actions to support the realisation of a FAIR ecosystem.  ...  These recommendations will be used to inform the development of guidance resources to support further adoption of FAIR data standards and practices by research communities.  ...  We also recommend the development of a self-assessment framework for research institutions and infrastructures to gauge progress towards building their FAIR data stewardship capabilities. D.  ... 
doi:10.5281/zenodo.5357329 fatcat:l3hvimlnojfzbgkbwgh2gneqgm

D7.1 FAIR in European Higher Education

Lennart Stoy, Bregt Saenen, Joy Davidson, Claudia Engelhardt, Vinciane Gaillard
2020 Zenodo  
As part of the EOSC project family the FAIRsFAIR - Fostering Fair Data Practices in Europe - project aims to supply practical solutions for the use of the FAIR data principles throughout the research data  ...  The research covered several dimensions of research data management at HEIs relevant for the implementation of FAIRsFAIR WP7, as well as WP3 "FAIR Data Policy Practice" and WP6 "FAIR Competence Centre"  ...  This event is mainly aimed at university leaders with an interest in designing and implementing research data policies and at various stages in this process.  ... 
doi:10.5281/zenodo.5361815 fatcat:nwp3nabkobbozpfqq5ihxauxui

D7.1 FAIR in European Higher Education

Lennart Stoy, Bregt Saenen, Joy Davidson, Claudia Engelhardt, Vinciane Gaillard
2020 Zenodo  
As part of the EOSC project family the FAIRsFAIR - Fostering Fair Data Practices in Europe - project aims to supply practical solutions for the use of the FAIR data principles throughout the research data  ...  The research covered several dimensions of research data management at HEIs relevant for the implementation of FAIRsFAIR WP7, as well as WP3 "FAIR Data Policy Practice" and WP6 "FAIR Competence Centre"  ...  This event is mainly aimed at university leaders with an interest in designing and implementing research data policies and at various stages in this process.  ... 
doi:10.5281/zenodo.3629682 fatcat:6pzlgrhhp5e53jpgrxsuuuokfi
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