Introduction to FAIR principles - for impact and reuse of research data
•
1 gostou•425 visualizações
This document introduces the FAIR principles for scientific data management. It defines each component of FAIR: Findable, Accessible, Interoperable, and Reusable. For each component, it lists several guidelines for making data fair. For example, for Findable data should have globally unique and persistent identifiers and be described with rich metadata. The document was created by the Australian Research Data Commons (ARDC) to explain their focus on applying the FAIR principles to research data. It provides references and resources for learning more about FAIR data practices.
Recomendados
Recomendados
Mais conteúdo relacionado
Mais procurados
Mais procurados (20)
Semelhante a Introduction to FAIR principles - for impact and reuse of research data
Semelhante a Introduction to FAIR principles - for impact and reuse of research data (20)
Mais de Richard Ferrers
Mais de Richard Ferrers (17)
Último
Último (20)
Introduction to FAIR principles - for impact and reuse of research data
- 1. An Introduction to the FAIR Principles Created by: Dr Tom Honeyman V2 Dr Richard Ferrers, ARDC Tom Honeyman, NSW Data Consultant Richard Ferrers, Vic Data Analyst
- 2. Who are the ARDC? https://ardc.edu.au/about_us/ Five year Strategy
- 4. Why FAIR? Impact and reuse of data NCRIS Principle (p.23, Dept of Education 2018 NCRIS Guidelines) - data generated, created, captured or stored by NCRIS funded projects will be made available to the wider research community based on the F.A.I.R. principles, appropriately implemented for individual research communities.
- 5. Key ARDC FAIR Resources • Search our site • FAIR self-assessment tool • FAIR training • Why make data FAIR? • Prior ANDS FAIR resources Follow image link for credit.
- 6. F. A. I. R. “The FAIR Guiding Principles for scientific data management and stewardship” https:// www.nature.com/articles/ sdata201618 “FORCE11 FAIR Principles” https://www.force11.org/ group/fairgroup/fairprinciples Findable Accessible Interoperable Reusable
- 7. F. A. I. R. F1. (meta)data are assigned a globally unique and eternally persistent identifier. F2. data are described with rich metadata. F3. (meta)data are registered or indexed in a searchable resource. F4. metadata specify the data identifier. Findable Accessible Interoperable Reusable
- 8. F. A. I. R. A1 (meta)data are retrievable by their identifier using a standardized communications protocol. A1.1 the protocol is open, free, and universally implementable. A1.2 the protocol allows for an authentication and authorization procedure, where necessary. A2 metadata are accessible, even when the data are no longer available. Findable Accessible Interoperable Reusable
- 9. F. A. I. R. I1. (meta)data use a formal, accessible, shared, and broadly applicable language for knowledge representation. I2. (meta)data use vocabularies that follow FAIR principles. I3. (meta)data include qualified references to other (meta)data. Findable Accessible Interoperable Reusable
- 10. F. A. I. R. R1. (meta)data have a plurality of accurate and relevant attributes. R1.1. (meta)data are released with a clear and accessible data usage license. R1.2. (meta)data are associated with their provenance. R1.3. (meta)data meet domain- relevant community standards. Findable Accessible Interoperable Reusable
- 12. NSW Data Consultant tom.honeyman@ardc.edu.au +61 421 049 858 @TomHoneyman3 Dr Tom Honeyman Thank you!