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Open Research in Ireland: FAIRsFAIR roadshow

As part of a webinar series on Open Research in Ireland, the National Open Research Forum (NORF) collaborated with FAIRsFAIR to present a webinar focused on FAIR data. These presentation slides are from the webinar. The presentation covers the areas below:

- Introduction to NORF – Daniel Bangert (Digital Repository of Ireland)
- FAIR in Ireland: NORF landscape report – Aoife Coffey (University College Cork), Timea Biro (Digital Repository of Ireland)
- FAIRsFAIR in a Nutshell – Marjan Grootveld (DANS, The Netherlands), Joy Davidson (Digital Curation Centre, UK)

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Open Research in Ireland: FAIRsFAIR roadshow

  1. 1. Open Research in Ireland: FAIRsFAIR roadshow 16 March 2021 https://norf.ie/ @norfireland @FAIRsFAIR_EU #OpenResearchIE
  2. 2. Objectives Present and discuss developments related to FAIR data within Ireland and internationally. Invite feedback and engagement on NORF’s work on a National Open Research Landscape Report.
  3. 3. Menti poll Your role/position Your discipline/domain How familiar are you with FAIR? What are your expectations/main motivation to join this session? Go to www.menti.com and use the code 7940 4960
  4. 4. Agenda Introduction to NORF (Daniel Bangert, Digital Repository of Ireland) Summary of landscaping work by NORF’s WG on FAIR data (Aoife Coffey, University College Cork & Timea Biro, Digital Repository of Ireland) This is FAIRsFAIR (Marjan Grootveld, DANS, NL & Joy Davidson, DCC, UK) FAIRsFAIR presentations and discussion: ● Supporting FAIR data through policy enhancement (Joy Davidson) ● Professionalising and embedding data stewardship (Marjan Grootveld)
  5. 5. Introduction to NORF Daniel Bangert National Open Research Coordinator d.bangert@ria.ie
  6. 6. Ireland’s National Open Research Forum (NORF) Established in 2017 to drive the Irish agenda for Open Research First phase of work included developing Ireland’s National Framework on the Transition to an Open Research Environment (July 2019) Current phase focused on the development and delivery of a National Action Plan Development of the National Action Plan is supported by National Working Groups in five strategic areas https://norf.ie/ https://doi.org/10.7486/DRI.0287dj04d
  7. 7. Towards a National Action Plan for Open Research Aim is to define nationally coordinated actions for research and researchers in the key areas of open access publications, FAIR research outputs, infrastructures, skills and competencies, and incentives and rewards. Three stages/outputs over 2021: ● National Open Research Landscape Report ● Interim Recommendations for Implementing a National Open Research Environment ● National Action Plan for Open Research in Ireland
  8. 8. National Open Research Landscape Report Developed by NORF WGs November 2020 - February 2021. Aims to provide: ● A snapshot of the current state of open research in Ireland. ● A national summary of the relevant strategic area, progress towards the National Framework Recommendations, identify key gaps and challenges, and highlight examples of good practice both nationally and internationally. Draft version for public comment: http://bit.ly/NORFlandscape Landscape report consultation to be launched. Link to the draft report will be included in the post-webinar email.
  9. 9. FAIR in Ireland -NORF landscape report- Aoife Coffey (University College Cork) & Timea Biro (Digital Repository of Ireland) Co-chairs, NORF WG on FAIR data
  10. 10. What is FAIR? FAIR research outputs and FAIR enabling practices and processes Bezjak et al. 2018
  11. 11. Summary of national landscape http://bit.ly/NORFlandscape Perspective and experience of the FAIR WG, RFO/RPO policies and guidelines/Skills WG survey/ RFO survey Progress in relation to the FAIR principles - a journey / a snapshot in time on key FAIR related areas related to the National Framework Recommendations (NFRs): ● RDM Policies (NFR 15 & 19) ● Data Management Planning (NFRs 15, 16 & 19) ● RDM Skills and Training (NFRs 15 & 16) ● Interoperability (NFRs 17 & 18) ● Data Citation (NFRs 17 &18) FAIR and RDM are at an early stage, no national survey of all stakeholders - important information gap
  12. 12. Progress towards FAIR related NFRs Several RFOs and RPOs are in the process of or have developed RDM and FAIR policies / incorporated into existing policies. (NFR 15, 18, 19) Growing acknowledgement of data as a key research output; many aim to cover all stages of research cycle and to be inclusive of all career stages (NFR 15, 16) but take different approaches Need to address the issues of fragmentation and mixed messaging (e.g. OA policies vs RDM policies vs IP/Commercial exploitation policies; organisational policies vs funder policies). Research data management planning - DMPs increasingly mandatory (NFR 16, 19) but with differences in terms of requirements, implementation and monitoring Costs of research data management are rarely considered and addressed (NFR19)
  13. 13. Progress towards FAIR related NFRs Improved coverage of the tasks and responsibilities of data stewardship - embedded or discipline - specific data stewards are not a common presence (NFR 15, 16) Interoperability - progress by leveraging repositories as FAIR enabling infrastructures (metadata standards, PIDs, licenses enabling reuse, occasionally quality controls) (NFR 15, 17, 18) FAIR metrics - research outputs not assessed in a formal way at the national level / a need for a national articulation of minimum standards related to FAIRness. (NFR 17, 18) Alignment with EU and international efforts - the European Open Science Cloud (EOSC), other Open Science or Data Commons initiatives
  14. 14. Key challenges and gaps - Data Gap - lack of information from all levels on FAIR and RDM in Ireland. - Lack of alignment of local and national policies with reference to FAIR. - Need for greater advocacy and awareness raising around FAIR and Open Data. - Lack of targeted and accredited training programs across the research landscape. - Peer support networks and communities of practice are underdeveloped or absent. - Key infrastructure and resources which support FAIR data are underdeveloped at all levels locally and nationally.
  15. 15. Examples of good practice - Policy Health Research Board, 2020 Research Data Management Policy - Open data and supporting metadata is the default - Provides clear guidance with regard to RDM and FAIR - DMP template and access to DMPonline - Allows and give guidance on cost associated with RDM and FAIR - Clear justification when data cannot be shared - DMP is a first deliverable from funded projects https://www.hrb.ie/funding/funding-schemes/before-you-apply/all-grant- policies/management-and-sharing-of-research-data/
  16. 16. Examples of good practice - Data Stewardship Statistics and Data Analysis Unit (SDAU) based in the Clinical Research Facility - Cork - FAIR Data Management and Stewardship Service to enhance the existing study design and statistical support - Provide embedded and disciplinary specific data stewardship support to patient focused research - Supports FAIR RDM from pre-award to publication - Allows the generation of high quality FAIRified data objects https://crfc.ucc.ie/services/fair-data-management-and-stewardship/
  17. 17. FAIRsFAIR in a Nutshell Marjan Grootveld (DANS) and Joy Davidson (DCC) FAIRsFAIR Roadshow – Ireland 16 March 2021 @FAIRsFAIR_EU @MarjanGrootveld @jd162a
  18. 18. Our objective 18 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 with an emphasis on fostering FAIR data culture and the uptake of good practices in making data FAIR.
  19. 19. 19 Our objective • “The objective is to accelerate the realization of the goals of the EOSC by opening up and sharing all knowledge, expertise, guidelines, implementations, new trajectories, courses and education on FAIR matters”; • Implementation of recommendations from the EOSC HLEG and the Expert Group on FAIR Data (Turning FAIR into Reality).
  20. 20. The project 20 © Marjan Grootveld Budget: 10 million euro Length: 36 months Starting date: March 1 2019 6 core partners
  21. 21. 21 FAIRsFAIR partners
  22. 22. Crucial support https://www.fairsfair.eu/advisory-board/egfc
  23. 23. Primary stakeholders in the EOSC Ecosystem
  24. 24. Synchronisation Force ► Read the full report ► Read the Summary Overview 24
  25. 25. Work Packages 25 © Marjan Grootveld
  26. 26. FAIRsFAIR results 06/01/21 26 https://zenodo.org/search?page=1&size=20&q=fairsfair How FAIR are existing data in repositories? https://www.fairsfair.eu/f-uji-automated-fair-data-assessment-tool How can you make new data more FAIR? https://www.fairsfair.eu/fair-aware
  27. 27. Main outputs FAIR support FAIR landscape Tools & software Competence centre Events https://www.fairsfair.eu/
  28. 28. Join the FAIRsFAIR Week 2021! https://fairsfair.eu/events /fairsfair-week-2021 Public workshop 13 April 10.00-13.00 CET: https://www.fairsfair.eu/events/ fairsfair-2021-public-workshop
  29. 29. Joy Davidson, DCC FAIRsFAIR Roadshow in Ireland 16 March 2021 Supporting FAIR data through policy enhancement
  30. 30. FAIRsFAIR landscape activities 2019-2020 30 Semantics and Interoperability Policies and Practices HEIs and FAIR Data • D3.1 FAIR Policy landscape analysis https://zenodo.org/record/3558173 • D3.3 Policy Enhancement Recommendations https://zenodo.org/record/3686901 • D7.1 FAIR in European Higher Education https://zenodo.org/record/3629683
  31. 31. Collectively agree on a common set of FAIR policy elements to describe policies. AA9 Landscape Monitoring Monitor standardised national Open Science and FAIR data strategies, including the description of these policies. SRIA: https://www.eoscsecretariat.eu/sites/default/files/open_consultation_booklet_sria-eosc_20-july-2020.pdf FAIRsFAIR recommendations FAIRsFAIR Policy Characterisation Data for D3.1 https://zenodo.org/record/3550544
  32. 32. PIDs should be assigned to clearly versioned policies made available via registries. Emphasis on describing elements that may be considered ‘rules’ to support machine-actionability. FAIRsFAIR recommendations https://www.openaire.eu/model-policy-on-open-science-for-research-performing-organisations
  33. 33. FAIR can be referred to both explicitly and implicitly. Really depends on your organisation’s aims. FAIRsFAIR recommendation Image from https://pediaa.com/what-is-the-difference-between-implicit-and-explicit/
  34. 34. Provide clarity on the range of outputs that should be considered and what might be considered “FAIR enough” FAIRsFAIR recommendation https://www.go-fair.org/how-to-go-fair/fair-implementation-profile/ https://fairsfair.eu/events/prototype-implementation-fair-related-features-demonstration
  35. 35. Standardised exceptions for not sharing data should be developed and promoted in guidance FAIRsFAIR recommendation https://www.library.manchester.ac.uk/using-the-library/staff/research/research-data-management/sharing/data-access-statements/
  36. 36. FAIRSFAIR Rec on DMPs Require updating of DMPs over the research lifecycle leading to end stage DMPs. Emphasis should be on rewarding good practice. https://ec.europa.eu/research/participants/docs/h2020-funding- guide/cross-cutting-issues/open-access-data-management/data- management_en.htm
  37. 37. 37 Support provision is a positive influence Lots of different ways to provide support! Local support is valued Monitoring compliance?
  38. 38. Policy support programme 2021 FAIRsFAIR support https://www.fairsfair.eu/form/open-call-policy-enhancement-support
  39. 39. Thank you! Any questions? https://www.fairsfair.eu
  40. 40. Go to www.menti.com and use the code 7940 4960 ● Does your organisation have a FAIR / RDM policy? ● What were or do you foresee to be the biggest challenges in implementing FAIR related policies? ● FAIR is a journey: have you implemented or engaged with any of the following FAIR enablers?
  41. 41. Professionalising and embedding data stewardship Marjan Grootveld, DANS FAIRsFAIR Roadshow in Ireland 16 March 2021 @FAIRsFAIR_EU @MarjanGrootveld
  42. 42. On the menu • What is a data steward? • Professionalising data stewardship through training and education • How to increase FAIR awareness 42
  43. 43. What does a data steward do? 43 Images http://cute-pictures.blogspot.com/2011/08/75-free-stock-images-3d-human-character.html
  44. 44. Data stewards​: Support staff from research communities and research libraries, and those managing data repositories. Data stewards typically vary in the tasks they cover in three main areas: ● embedded and operational ● generic and advisory ● policy, strategy, and coordination How FAIRsFAIR sees data stewards 44 LCRDM data stewardship task areas https://doi.org/10.5281/zenodo.2669150 https://doi.org/10.5281/zenodo.3066366 FAIRsFAIR D3.4 Recommendations on practice to support FAIR data principles. https://doi.org/10.5281/zenodo.3924132
  45. 45. Tools and support • To make FAIR assessment easier and build researchers’ awareness through easy-to-use tools • To make repositories ready for FAIR Competence centres and trainings • To provide hands-on skills for data stewards • To build a community and exchange platform for data stewards to exchange experience FAIR in Higher Education • To foster the next generation of researchers and professionals with FAIR knowledge and skills • To support HEIs in embedding FAIR skills in curricula Support, tools, training and skills are embedded in various work packages of FAIRsFAIR 45 45
  46. 46. Training for Data Stewards and data stewardship Summer Schools Building on the CODATA-RDA Research Data Science Summer School – Early Career Researchers includes topics related to FAIR. • Parallel strand for Data Stewards – first week common curriculum, second week ECRs and Data Stewards split. Train-the-Trainer events • Trainings delivered in November and December 2020 • Developed in conjunction with local hosts – topics selected from core list, delivered online, use of FAIRdata Forum for discussion and sharing materials in flipped learning approach Major challenge • Training needs to be re-developed for an online approach, not just “doing it on Zoom” 46
  47. 47. FAIR in Higher Education (WP7) 47 What has been done so far... 47 D7.3 “FAIR Competence Framework for Higher Education” (FAIR4HE) (02//2021) FAIRsFAIR D7.3 https://doi.org/10.5281/zenodo.4562089
  48. 48. FAIR in Higher Education: next steps FAIRsFAIR FAIR Competences Handbook for Universities • Model curricula, courses, learning materials • Is a “translation” of FAIRsFAIR’s Competence Framework 48 Target group: academic leaders, trainers involved in RDM training at the doctoral level and other professionals responsible for doctoral education programmes https://www.fairsfair.eu/events/save-date-fair-data- competences-doctoral-education-programmes
  49. 49. “See also”: Dutch perspective Angles: • analysis of the data stewardship training and education landscape, based on case studies • components of a job profile for data stewards (3x) and for research software engineers • existing data-related trainings and certification of education and training Project team: 30 representatives from universities, university medical centres, universities of applied sciences, service providers, research funder ZonMw - plus ‘umbrella organisations’ 49 https://doi.org/10.5281/zenodo.4486423
  50. 50. Case study Erasmus Medical Centre 50
  51. 51. Main recommendations Nationally… • Define data stewardship competences and formalise job profiles • Define, develop and deliver tailored training programmes to match these required competences • Build a data steward skills tool, as a single point of reference for competences, job profiles, and training, and allowing for (self-) assessment and career development “Hidden agenda”: national stakeholders - umbrella organisations, research funders - should work together. 51 https://doi.org/10.5281/zenodo.4486423
  52. 52. “See also” 2 There is overlap between FAIRsFAIR’s FAIR4HE Framework and the Dutch approach, and there is also the RDA Interest Group 'Professionalising Data Stewardship' 52 https://www.rd-alliance.org/groups/professionalising-data-stewardship-ig
  53. 53. Awareness of the FAIR principles 53 D7.1 FAIR in European Higher Education https://doi.org/10.5281/zenodo.3629683 The State of Open Data 2020 https://doi.org/10.6084/m9.figshare.13274744
  54. 54. • For researchers and data stewards • Online tool to raise awareness and educate on data FAIRness • 10 simple questions with practical tips to improve data FAIRness before deposit 54 https://fairaware.dans.knaw.nl/
  55. 55. 55 https://fairaware.dans.knaw.nl/
  56. 56. 56 https://fairaware.dans.knaw.nl/
  57. 57. 57 https://fairaware.dans.knaw.nl/
  58. 58. Thank you! Any questions? https://www.fairsfair.eu 58
  59. 59. Go to www.menti.com and use the code 7940 4960 ● Does your institution employ data stewards or similar support? ● How could data stewardship be further supported in Ireland? Rank the following in order of priority. ● What is in your view the key role of a data steward? Please rank the various options.
  60. 60. What you can do after today 60 ● Check out and promote FAIR-Aware: https://fairaware.dans.knaw.nl/ ● Contact NORF when you are interested in FAIRsFAIR’s policy support ● Come to https://www.fairsfair.eu/events/fairsfair-2021-public-workshop
  61. 61. Summary and actions Opportunities to engage with NORF ● Provide feedback on the Landscape report ● Join future webinars and events! How to contact NORF National Open Research Coordinator d.bangert@ria.ie FAIR Data WG aoife.coffey@ucc.ie & T.Biro@ria.ie
  62. 62. Next webinar Infrastructures for Open Research, 30 March 2021 Open Research infrastructures in Ireland – Eoghan O’Carragain (University College Cork), Caleb Derven (University of Limerick) European Open Science Cloud – Sarah Jones (GÉANT) Disciplinary infrastructures for Social Sciences and Humanities – Sally Chambers (Ghent Centre for Digital Humanities) Sustainable scholarly infrastructures – Geoffrey Bilder (Crossref) Event details and registration: https://norf.ie/index.php/2021/03/10/norf-open- research-in-ireland-infrastructures/

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