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Kr slides fair astronomy 20181019

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AFAIR in Astronomy Research - Slides. In this webinar ARDC is partnering with the ADACS project to explore the FAIR data principles in the context of Astronomy research and the ASVO and IVOA as a community exemplars of the implementation of the FAIR data principles.
These slides from: Keith Russell (ARDC): Looking at FAIR
In this talk Keith will provide an overview of the FAIR principles and how it was used in astronomy before it became official. He will conclude the talk by discussing what other disciplines can learn from their approach.

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Kr slides fair astronomy 20181019

  1. 1. F.A.I.R. principles Keith Russell, Manager Engagements
  2. 2. F.A.I.R. Data Principles • Drafted in a workshop in 2015 • Nature article and support by FORCE11 • Received international recognition • Technology agnostic • Discipline independent • Both the data and the metadata • Human readable and machine readable Image by Sanja Pundir CC-BY-SA
  3. 3. Why make your data FAIR? ● Enable reuse of research outputs ● Research is reproducible/verifiable ● Building a rich set of data assets ● Basis for collaboration with research partners ● Novel and innovative research, including data intensive research ● Translation of research outcomes to achieve greater impact
  4. 4. Policy developments ● Publishers (Data availability policies) ● COPDESS statement of commitment ● FAIR access policy statement ● International funders: ○ Data sharing statements ○ European Commission Expert Group on FAIR data: Turning FAIR data into reality: interim report
  5. 5. Findable 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. ● Describe your data ● Give it a persistent identifier ● Make it findable through discipline specific search routes and generic ones
  6. 6. Accessible 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. ● Open where possible, closed where required ● Deposit in repository ● Services over the data ● If closed, provide information how the researcher can get access to the data and background information (e.g. codebooks, methods section)
  7. 7. Interoperable I1. (meta)data use a formal, accessible, shared, and broadly applicable language for knowledge representation. I2. (meta)data use vocabularies (and ontologies) that follow FAIR principles. I3. (meta)data include qualified references to other (meta)data. ● Use a standard file format ● Use a community agreed vocabulary ● Link to relevant information
  8. 8. Reusable 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. Other aspects on top of F.A.I. : ● Discipline specific information about the output ● Information on how the data was created ● A machine readable licence (Creative Commons recommended)
  9. 9. General resources www.ands-nectar-rds.org.au/fair-data
  10. 10. With the exception of third party images or where otherwise indicated, this work is licensed under the Creative Commons 4.0 International Attribution Licence Keith Russell E: keith.Russell@ardc.edu.au M: 04 2745 23 42 T: @kgrussell The ARDC is supported by the Australian Government through the National Collaborative Research Infrastructure Strategy Program

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