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The Internet of FAIR Data and Services
The European Open Science Cloud (EOSC) should be a ‘federated,
globally accessible environment where researchers, innovators,
companies and citizens can publish, find and re-use each other's data
and tools for research, innovation and educational purposes’.
The EOSC is branded by the HLEG as The Internet of FAIR Data and Services
Britiske Tier-2 landskab
2016: EPSRC vedligeholder og fornyr britisk Tier-2 landskab fra 2011 (opslag)
1. Solid Science Case, Business Case og Financial Case
2. Datalagring indlejret i lokale Tier-3 eller i de nationale Tier-2 installationer
Og vinderen blev…
• Kun ét af de tidligere seks konsortier bliver videreført
• De fleste nye konsortier har oftest karakter af anpartsselskaber, der på overbevisende vis har magtet at løsrive HPC ejerskab og leverance fra geografisk location.
• Lokalt fokus på e-science er oftest bedre tænkt ind i de nye konsortiemodeller
• Konsortier, hvor forskergrupper går sammen om at foreslå særlig risikabel arkitektur
• Andre har etableret partnerskaber med sektorforskning eller private virksomheder
• Fokus på kosteffektiv, serviceorienteret og kompetent HPC Tier-2 installation
• Cambridgemodellen
Finland
The Open Science and Research initiative
• Substantial resources into policy-making, implementation and monitoring
• To be widely utilised in Finnish society.
In 2014, the Ministry of Education and Culture of Finland released The Open Science and Research Roadmap 2014–2017
• Open Science Handbook and a Data Management Guide directed at Finnish researchers
• Services for data storage and data publishing
• Facilities for digital preservation of research materials and more elaborate tools for data management
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Norway
9
Trondheim Tromsø
Interesting Features:• Ownership• Management• E-Science competencies• Possible Rotation
Europe - On the way to the EOSC- an Example
DFG and Generic Research Data Infrastructure
Stop the excessive niche focus!
Establish a NRDI network, A single point of access to dataThe DFG contribution to EOSC3 pilot projects and then roll it out over Germany…to obtain the Generic Research Data Infrastructure
The National RDM Forum
Institutions and Persons
� 8 universities
� Researchers
� Librarians
� Support Office Folks
� Vice-Chancellor’s Office
� System administrators
� The Royal Library, Aarhus
� The Royal Library, København
� The National Archive
(≈ 30 persons)
Working since August 2015
On a given strategy
Vice-chancellor
office
Libraries and Archives
InfrastructureFolks
Researchers
11
12
Common Ground - Vision for juni 2018
Danmark har et nationalt sammenhængende sæt af DM-politikker hos universiteterne, som:
• bakkes op af forskningsråd, ministerier, bevaringsinstitutioner og er åben for andre forskningsinstitutioner• sikrer at forskeren får hjælp med at planlægge og effektuere data management for hele datas livscyklus• er forankret såvel lokalt som internationalt• sikrer modeller for finansiering og fordeling af udgifterne til DM mellem interessenterne
Der er et velforstået, velfungerende og let tilgængeligt landskab af infrastrukturer til datas hele livscyklus, som:
• skelner mellem og skaber sammenhæng mellem lokalt, nationalt og internationalt niveau.• Lever op til aftalte kriterier, herunder navnlig åbne adgangskriterier og transparente forretningsmodeller• har support-funktion• tager afsæt i lokale udviklings- og driftsmiljøer• håndterer såvel fortrolige som åbne data
Der er etableret samarbejde på tværs af interessenter om:
• kompetenceudvikling• ekspertnetværk• incitaments- og meriteringsstrukturer
RDM Forum Meetings
� August 2015 kick-off
– Common Ground – Brainstorm on possible DM Forum activities
� October 2015
– Agreement on procedure and of reimbursement – Formation of a DM Forum collaborative activity portfolio– RDM infrastructure pilot project call wording, objectives and criteria
� January 2016
– RDM infrastructure pilot project Q&A session + pitches
� March 2016
– Review of RDM infrastructure pilot project proposals, recommendations for DM CAB– Revised DM Forum type 2 activities portfolio
� June 2016
- Planning of TtT;- “Go” to Collaborative activities
� October 2016
- DM Policy of CPH University (Health Sciences)- Establish Law Expert Group- Feed back from DM Technology Expert Group
� February 2017
- EOSC, FAIR DATA, GO FAIR 13
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DM Forum TtT Activities
� August 2015 kick-off
– Future Search – RDM experiences & challenges – talks by Elixir, 3TU.Datacentrum and OPEN
� January 2016
– Data Management Planning - talk by Kevin Ashley, Digital Curation Centre, UK
� March 2016
– The making of a domain specific RDM policy – talk by Nicole Schmitt, KU Health– Legal aspects of RDM – talks by Experts from CPH University
� April 2016
– Essentials 4 Data Support - a course series adapted for a Danish contexthttp://datasupport.researchdata.nl
� October 2016
– RDM as a wicked problem – course by Andrew Cox, Sheffield– RDM for Grant Office People
� November 2016
– EOSC – workshop with Barend Mons, Chair HLEG
� February 2017
– High-level implementation of Research Data Management policies
� April 2017
– Research Data and Meta Data for Experts
� April-May 2017
– Legal aspects of Open Data, 3 workshops
Infrastructure Pilot
Video Life Cycle DM
Adds DM capabilities to the existing edumedia video platform.
ScienceCloud4Cities
Develops a national infrastructure for collecting, sharing and processing of both historical and near real time smart city energy data
National Science App Store
Construct a cloud with data processing, analysis, publishing and archivingcapabilities in the form of ‘apps’
ActionableBiomarkerDK - Actionable Biomarkers in Human Disease
Addresses the problem of turning a genome into a small set of actionable biomarkers useful for diagnostics and drug development
15
DM Forum Collaborative Activities (1:2)
� RDM Policy implementation (phase I) AU + SB + KU + AAU + DTU + Royal
Library
� RDM - Needs and Infrastructure (phase I) AAU + DTU + KU
� Digital DM guide (phase I) All Institutions
� E-Lab-Book AU + KU + DTU
� Ph.D. courses in RDM SDU + AAU + KU + National Archive (+ maybe also
OPEN)
� International collaboration DTU + SDU (KE, EUDAT-CDI, RDA, NeIC, Prace?
� Template for Institutional RDM Policy (completed) SDU + AAU + AU
+ RUC
� Reports from the Local Anchoring of RDM
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Manglende datamanagement
1. Ingen ekstern finansiering2. Ingen publikationer
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Lad os komme i gang:
1. Vi skal have en datamanagement politik
2. Den skal implementeres på institutterne
3. Både en politik og en implementeringsplan kræver
en grundig medvirken af alle forskere på SDU
�
Forslag fra SDU DM Forum
18
SDU DM Forum
Vi har et udkast
til Politik klar -
inkl.
en plan for
Implementering
Råd, nævn og
enheder på SDU
inkl.
DM Advisory Group
RI-rådet
RIO laver en plan for
høring, inklusion og
feed back
Direktionen
19
Responsibilities
SDU acknowledges the importance of ensuring that
all research data are managed so that they are
secure, accessible, and, where appropriate, reusable,
and so that any ethical, confidentiality and privacy
requirements and concerns are respected. The
responsibility is shared between
20
Principal investigators (PI):
Supervise Research Data Management: PIs must
ensure that researchers under their management are
instructed to conduct research in accordance with
the policy and are made aware of their
responsibilities as mentioned in this policy
Researchers:
Research Data Management: Researchers must
ensure that research data are managed in line with
best practice in their field; this includes planning the
management of their primary materials and data.
21
Storing research data: Researchers must ensure that
primary materials and data are retained, stored and
managed in a clear and accurate form that allows results
to be assessed, the procedures to be retraced and, when
relevant and applicable, the research to be reproduced.
What to store and for how long: Researchers are, unless
otherwise regulated, responsible for deciding the extent
to and duration for which primary materials and data
are to be retained. When deciding this, researchers
should consider the value of the primary materials for
assessing the results of the research and the physical
and technical possibility of storage at the institution.
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Disposal: Researchers should plan for the appropriate
disposal of primary materials and data.
Access and sharing: Researchers are responsible for
managing the access to their research data and are
encouraged to make their research data freely
accessible, except when this is in conflict with
contractual legal obligations or current regulations on
for example ethical, confidentiality or privacy matters
or intellectual property rights.
23
SDU:
Data storage: SDU must provide a storage system that
allows researchers to manage their data responsibly. Such
a storage system includes: storage space, access control,
and back-up.
Research Data Catalogue: SDU must provide a research
data catalogue that enables data to be findable, accessible
and citable.
Research Data Management Support: SDU should 1)
provide education and training opportunities; 2) provide
advice on practice, legal issues and infrastructures; and 3)
develop and maintain common systems and
infrastructures for research data management.
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COST - Dette Kræver Ressourcer
Eksempler: DTU 3 FTE, Göttingen 5 FTE, …
Træningskurser: Til forskere, støttepersonale og
ledelsesansvarlige
Metadatering: Faglige traditioner, international
forankring, maskinlæsbarhed, standarder
Jura: Persondataforordning, ejerskab af data, IPR og
data, fortrolighed og etik
SDU-GO: Opmærksomme på krav fra fonde til (FAIR)
data
Infrastruktur: Lagring og deling af aktive data, til
arkivering af resultatdata, til beregninger og andre
værktøjer