1. www.eudat.eu
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. EUDAT

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. 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. What is the EUDAT Service offer?

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. 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. 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. 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. QUESTIONS?

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. 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. The Complete Picture?
DM Service
Definition
DM Expertise
& Consultancy
& Training
DM Service
Provisioning

14. The Complete Picture?
DM Service
Provisioning
DM Service
Definition
DM Expertise
& Consultancy
& Training

15. EUDAT Data Domain modeled on the ANDS1 Data Curation Continiuum
1. Australian National Data Service organization – www.ands.org.au
CDI Data Domain
1515

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