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OSFair2017 Workshop | Service provisioning for excellent sciences


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Daan Broeder presents the EUDAT community

Workshop title: Organising high-quality research data management services

Workshop abstract:
Open science needs high quality data management where researchers can create, use and share data according to well defined standards and practices. this is one of the pillars of Open Science. In the data management landscape we find quite a few organisations that aim at achieving this, however to get it right, a collaboration is called for where all can play a suitable role and present this in a consistent way to the researcher.
The proposed workshop brings together representatives of standard organisation (RDA), eInfrastructures (EUDAT) and Libraries (LIBER) that together can organise the high quality data management for research.


Published in: Science
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OSFair2017 Workshop | Service provisioning for excellent sciences

  1. 1. EUDAT receives funding from the European Union's Horizon 2020 programme - DG CONNECT e-Infrastructures. Contract No. 654065 Service provisioning for Excellent Science Daan Broeder – EUDAT/CLARIN
  2. 2. EUDAT
  3. 3. A bit of EUDAT history EUDAT started in 2011 as an initiative to face the data deluge and the increasing complexities and costs of isolated solutions provide general data management services for a large variety of communities there are many common requirements … addressed by common services delivered by a federation of compute and data centers … research community driven sustainable EUDAT Initiative Funded by EC projects EUDAT 2011 – 2014 25 partners 16ME EUDAT2020 2015 – 2018 37 partners 20ME Participate in EOSC-Hub from 2018
  4. 4. Community Repositories (thematic data centres) EUDAT generic data service provider storage, workflows, processing, archive Collaborative Data Infrastructure (CDI) A collaboration between Service Providers and Research Communities A Partnership Agreement specifying the mutual obligations between the EUDAT centres a portfolio of data management services A data and service model that ensures the CDI’s interoperability, extensibility and stability Network providing consultancy, training, sharing of technology across partners
  5. 5. What is the EUDAT Service offer?
  6. 6. Common Language Resources and Technology Infrastructure (CLARIN) EUDAT Core Communities Partners European Network for Earth System Modelling (ENES) Distributed infrastructure for life-science information (ELIXIR) European Plate Observing System (EPOS) - Solid Earth sciences Research Infrastructure Integrated Carbon Observation System (ICOS) to quantify & understand greenhouse gas balance Long-Term Ecosystem Research (LTER) in Europe Partners in EUDAT2020, instrumental for EUDAT service strategy development and positioning
  7. 7. Broad community engagement Requirements & use-case gathering - Core Communities specify broad sets of requirements covering their whole data life cycle - Call for Data Pilots -> 24 collaborations, large variety of disciplines & use cases - Participation in community projects, EUDAT WGs, community interview TF - All very labor intensive and time-consuming Outreach & Communication aspects - Communities organised on a EU level should be covered - In the current project and beyond, but … - Outreach to smaller groups and individuals scales badly - Can leverage EUDATcenters participating in national projects - Training & Documentation addressing different levels of technical proficiency requires large investments
  8. 8. How to be more efficient? Make use of specialized organizations & networks …. Requirements to be delivered by RDA, W3C, ISO, IETF, …? Accepting such input is often self-evident, but not always What about aspects as: speed, coverage, pragmatism, flexibility, representativity? Data management expertise and consultancy for DM services to be provided by academic & research libraries? Do they have that ambition, expertise and capacity? Overall questions: is it in the nature of such organisations to collaborate on this topic? How to organise it and be inclusive to others
  9. 9. A more efficient Picture? Std. organisations ------------------- Service Req. Definition Academic Libraries ------------------ DM Expertise & Consultancy & Training DM Service Definition DM Expertise & Consultancy & Training EINFRA --------------- Service Provisioning
  10. 10. QUESTIONS?
  11. 11. EUDAT Recipe Building Trust between RIs & E-INFRAs Co-design of services Agree roles and responsibilities Bringing e-Infrastructures together Choosing cooperation rather than competition Focus on core business Leveraging national resources EU grants and initiatives need to support the national systems
  12. 12. RDA Uptake by EUDAT Data Foundation and Terminology (DFT): The DTF WG has built up a common version of some important terminology such as “digital object” and term relations. These results help us to ensure that we are using the same terminology as our research communities – many of whom have also been involved in these efforts. Data Type Registry (DTR): The DTR WG provided a schema and a prototype federated registry system based on that schema. The schema can be used to formally describe the content data types in sufficient detail to make them actionable automatically. PID Information Types (PIT): The PIT WG provided a protocol and an approach to harmonize the way in which we label the data types associated with a PID, for instance, as a “checksum” or as an “author” field. Practical Policy (PP): The PP WG produced a cookbook of best-practice actionable data policies. Metadata standards directory: This group transformed the DCC metadata catalogue to make use of a community maintenance model. This helps ensure that the catalogue of metadata standards that are in use stays up to date. DSA/WDS Certification of digital repositories: This group merged two of the data repository certification schemes, namely the Data Seal of Approval (DSA) and the World Data Systems (WDS) certification. This increases the momentum of the certification schemes and also ensures that the certification as taken up by many EUDAT partners is more relevant.
  13. 13. The Complete Picture? DM Service Definition DM Expertise & Consultancy & Training DM Service Provisioning
  14. 14. The Complete Picture? DM Service Provisioning DM Service Definition DM Expertise & Consultancy & Training
  15. 15. EUDAT Data Domain modeled on the ANDS1 Data Curation Continiuum 1. Australian National Data Service organization – CDI Data Domain 1515
  16. 16. Leveraging Partner Node Services Individual EUDAT nodes contribute local services to the CDI service portfolio including expertise & guidance Relevant services for the sensitive data domain are: ePouta from CSC: secure cloud computing environment TSD from University of Oslo: secure platform to collect, store and analyse sensitive data Some partners start addressing health & medical administrative data