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OSFair2017 Workshop | EOSCpilot data interoperability

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Rafael Jimenez presents the EOSCpilot data interoperability | OSFair2017 Workshop

Workshop title: How FAIR friendly is your data catalogue?

Workshop overview:
This workshop will build upon the work planned by the EOSCpilot data interoperability task and the BlueBridge workshop held on April 3 at the RDA meeting. We will investigate common mechanisms for interoperation of data catalogues that preserve established community standards, norms and resources, while simplifying the process of being/becoming FAIR. Can we have a simple interoperability architecture based on a common set of metadata types? What are the minimum metadata requirements to expose FAIR data to EOSC services and EOSC users?

DAY 3 - PARALLEL SESSION 6 & 7

Published in: Science
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OSFair2017 Workshop | EOSCpilot data interoperability

  1. 1. www.elixir-europe.org @ELIXIREurope /company/elixir-europe EOSCpilot Data interoperability Rafael C Jimenez
  2. 2. EOSCpilot WP6 : Interoperability Partners involved: STFC, ELIXIR, CNRS, KIT, ARC, JISC, CNR, INFN, DESY, ICOS, GEANT, INAF, BGS, UMAN, PIN, CEA, CINECA, Athena, UFlorence Tasks: T6.1: gap analysis & interoperability architecture T6.2: EOSC Research and Data interoperability T6.3: Interoperability pilots
  3. 3. Establish principles and develop mechanisms that enable the EOSC to provide research and data interoperability across the diversity of existing (and potential future) research communities, research infrastructures, and other research assets. 6.2 Vision
  4. 4. Propose and demonstrate a data interoperability architecture to expose FAIR data to EOSC services and users 6.2 Goal Demonstrate how to ensure availability of scientific data and data-analysis services through a cloud infrastructure and design a stakeholder driven governance framework Pilot action for EOSC
  5. 5. EOSC FAIR data services expose expose Access Research Infrastructures e-infrastructures & Research Infrastructures use use
  6. 6. expose expose use use EOSC Access FAIR data services Research Infrastructures e-infrastructures & Research Infrastructures
  7. 7. Metadata catalogues RI data e-infrastructure services Compute Storage Transfer … Data repositories … … … … … … … Datasets Scientific domain A Scientific domain B Scientific domain C Generic metadata catalogue Data entry … … … … … … … …
  8. 8. Metadata catalogues RI data e-infrastructure services Compute Storage Transfer … Data repositories … … … … … … … Datasets Scientific domain A Scientific domain B Scientific domain C Data entry … … … … … … … … Generic metadata catalogue
  9. 9. Data access interfaces Graphical User Interface (GUI) FTP access Database access Application Programmatic Interface (API) Meta(Data) Web Services Scientist Data analyst Developer
  10. 10. Data access interfaces Graphical User Interface (GUI) FTP access Database access Application Programmatic Interface (API) Web Services e-infrastructure Meta(Data)
  11. 11. Dataset metadata Scientific File Researchers Services
  12. 12. Mapping “Finding” requirements Mockup Review Evaluation Guidelines Demo Data repositories Datasets Technical Scientific Metadata catalogues models Finding use cases EOSC use casesStandards Technology, architecture, quality & term of use Metadata providers & EOSC index Metadata model, minimum information, CVs & best practices Metadata catalogues 1 2 3 45 6
  13. 13. Mapping “Finding” requirements Mockup Review Evaluation Guidelines Demo Data repositories Datasets Technical Scientific Metadata catalogues models Finding use cases EOSC use casesStandards Technology, architecture, quality & term of use Metadata providers & EOSC index Metadata model, minimum information, CVs & best practices Metadata catalogues 1 2 3 45 6
  14. 14. 6.2 implementation plan
  15. 15. Summary • What • Expose metadata useful for EOSC services and EOSC user to find and use data • How • Recommendations • Minimum properties • Models • Technologies • Demo • Data catalogues • Dataset services
  16. 16. Guiding principles driving ... 1.- the work of this working group and 2.- the recommendations we will propose to EOSC. 17
  17. 17. Reuse: Leverage the rich legacy of Research Infrastructures • Making data FAIR is the responsibility of the Research Infrastructures and their data repositories • We must rely on research infrastructure data catalogues • We must support an ecosystem of catalogues • We should provide metadata quality recommendations to feedback to RIs Least: The least possible metadata for the most benefit • Findability should come first • Common and minimum metadata • Focus on common data types: datasets and data repositories • Flexible metadata models to embrace domain specifics • Service requirements and operational metadata first class citizen Practical: Sustainable and pragmatic delivery • Engage EOSC demonstrator data repositories • Propose methods to expose metadata • Simple to implement, easy to sustain • Deliver guidelines and demonstrators
  18. 18. Thanks for your attention EOSCpilot data interoperability technical workshop 4-5 October Genome Campus, Hinxton, UK http://tinyurl.com/hinxton-eosc-datacat
  19. 19. Meetings EOSCpilot KickOff 2017-01-17 2017-01-19 WP6 kick off 2017-02-20 2017-02-21 BlueBridge data catalogues 2017-04-03 2017-04-03 Open Science FAIR 2017-09-06 2017-09-08 EOSCpilot data interoperability technical workshop 2017-10-04 2017-10-05 EOSCpilot data interoperability workshop 2018-04-25 2018-04-26

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