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OpenScienceinHorizon2020andHorizonEurope
OPEN DATA REQUIREMENTS IN H2020
DATA MANAGEMENT PLANS
PedroPríncipeandPaulaMoura
UniversityofMinho.OpenAIRESupportOffice.OpenAIRENationalOpenAccessDesk
Porto, February 11, 2020
TOPICS
FromOpenAccessto
OpenScience:
policies inEurope
OpenResearchData
Pilotin H2020
Requirements inpractice
Data Management
Plans:
Tips, tools andexamples
OpenAIREservices&
EOSC
Q&A
1 2
3 4
Open Science
Open Science is here to stay:
the sooner we embrace its
principles, the better.
“Thequestion isnolonger „if‟we
should haveopen access.The
question isabout „how‟weshould
develop itfurther andpromote it.”
NeelieKroes(2011)
LennartMartens,PaolaMasuzzo(2017)
Open Innovation, Open Science, Open to the World
Carlos Moedas (2015)
Publications
Research data
Software
…
Results
Methods
Processes
Tools
Infrastructures
…
Open Science
 Promote the progress of research and science.
 To make science more
efficient,
transparent,
trustable and
reproducible.
Open Science – Why?
Open Science
in H2020
Open Science in H2020 and FCT requirements
Open Access is the DEFAULT for research
results in H2020.
Open Access Mandate: Publications
Open Data Pilot until 2016. Mandate with
opt-out since 2017.
H2020
FCT advocate making the research results
available on the Internet, in an open way and
free of charges for the user.
FCT's Open Access Policies (May 2014):
Mandate for peer-reviewed publications.
Recommendations for open data.
FCT
Multi-beneficiary General Model GA
29.2 Open access to
scientific publications
29.3 Open access to
research data
9
http://ec.europa.eu/research/participants/data/ref/h2020/
grants_manual/amga/h2020-amga_en.pdf
https://www.fct.pt/acessoaberto/
Open Access Policy
Open Access to
publications policy
Recommendations on
making available research
data
Open Science policies: the evolution of the EU funding
programmes for R&I
FP7
Open Access Pilot
Deposit and open
access
H2020
Open Access
Mandatory
Deposit and open
access
& Open Research
Data / DMP Pilot
H2020
OA Mandatory
Deposit and open
access
& ORD/DMP by
default
(opt-out)
Horizon
Europe
• OA Mandatory
• Deposit and open
access
• DMP + FAIR data
Mandatory
• OD by default (opt-
out)
• & Open Science
embedded
“Ensure open access…
as soon as possible and at the latest on publication,
deposit a machine-readable electronic copy of the
published version or final peer-reviewed manuscript
accepted for publication in a repository for
scientific publications together with
bibliographic metadata providing the name of the
action, acronym & grant number”
OpenAccessisthedefaultforresearchresultsinH2020
Authors are free to choose between the two main
and non-exclusive routes toward Open Access
The article is immediately in open access mode,
through the publisher. The associated costs are
covered by the author/institution/funder.
Self-archiving
(‚green‘ open access)
The published article or the final peer reviewed
manuscript is uploaded in an online repository –
access is often delayed (‚embargo period‘)
Open access publishing
(‚gold‘ open access)
The article must always be deposited in a repository,
even if the gold route has been choosen.
Researcher
decides where
to publish
Check publishers
policies on
www.sherpa.ac.uk/romeo
Open Access Journals:
doaj.org
Self-archive in repository
Check for Article
Processing Charges
Subscription-based
journal
Immediate OA
Immediate or
delayed OA
Notjustaboutopenaccesstopublications…
OPENRESEARCHDATA
• Descriptionofdatatobecollected/created(i.e.
content,type,format,volume...)
• Standards/methodologiesfordatacollection&
management
• EthicsandIntellectualProperty(highlightrestrictionson
datasharinge.g.embargoes,confidentiality)
• Plansfordatasharingandaccess(i.e.how,when,to
whom)
• Strategyforlong-termpreservation
Data Management Plans Requirements
15
Image:https://www.flickr.com/photos/dmh650/4031607067/in/gallery-wlef70-72157633022909105/
Data management is a part of good
research practice.
RCUK Policy and Code of Conduct on the
Governance of Good Research Conduct
Responsible data management is
part of good research.
NWO – Introduction to the pilot Data Management
To make the research data generated
by Horizon 2020 projects accessible
with as few restrictions as possible,
while at the same time protecting
sensitive data from inappropriate
access.
Information already paid for by
the public should not be paid for
again. Open data is data that is
free to access and reuse
EC
Open Research Data Pilot: aims
RequirementsoftheDataPilot
1. Data Management Plan (DMP) 2. Deposit data in data repository
4. Open up data3. Provide information to validate results
DATA, including metadata,
needed to validate the results in
scientific publications.
Other data, including metadata,
as specified in the Data
Management Plan.
Open Research Data policy requirements
Horizon 2020 grantees are encouraged to also share datasets beyond publication
Moreinformation:
https://www.openaire.eu/opendatapilot-repository
Zenodo:http://www.zenodo.org
Re3data.org:http://www.re3data.org
Where to find a repository?
22
 IncompatiblewiththeHorizon2020obligationtoprotectresultsiftheycan
reasonablybeexpectedtobecommerciallyorindustriallyexploited;
 Incompatiblewiththeneedforconfidentialityinconnectionwithsecurity
issues;
 Incompatiblewithexistingrulesconcerningtheprotectionofpersonaldata;
 Iftheprojectwillnotgenerate/collectanyresearchdata;
 IfthereareotherlegitimatereasonstonottakepartinthePilot
Reasons for total or partial opting out
23
Write, and keep up-to-date, a
Data Management Plan.
Deposit the data in a research
data repository.
Open Research Data policy requirements
Licensing research data - Horizon 2020 Open Access guidelines point to:
CreateaDMP
Living document: update Reflects on curation, preservation,
sustainability and security
What parts will be open
and how?
Handling of data during and after project
basic idea
≠ DMP + plan
budget
Timeline
1st version DMP
Changes in data,
policy,
consortium
Update DMP
Final version
UPDATE PERIODIC
EVALUATION
6 MONTHSPROPOSAL FINAL REVIEW
1. Datasummary
2. FAIRdata
1. Makingdatafindable,includingprovisionsfor
metadata
2. Makingdataopenlyaccessible
3. Makingdatainteroperable
4. Increasedatare-use(throughclarifying
licences)
3. Allocationofresources
4. Datasecurity
5. Ethicalaspects
6. Otherissues
H2020 template
ExampleH2020DMPsinZenodo
• HelixNebula–HighEnergyPhysicsexample
https://zenodo.org/record/48171#.WATexnriF40
• Tweether–engineering(micro-electronics)example
https://zenodo.org/record/55791#.WATei3riF40
• AutoPost–ICTexample
https://zenodo.org/record/56107#.WATefXriF40
OpenAIRE2020
https://zenodo.org/record/1257214#.W_NeMeKYSY0
Morelistedat:
www.dcc.ac.uk/resources/data-management-plans/guidance-
examples
http://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/hi/oa_pilot/h2020-hi-oa-data-mgt_en.pdf
FAIR Data Management guidelines
http://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/hi/oa_pilot/h2020-hi-oa-data-mgt_en.pdf
 Notes the extension of the pilot
 Clarifies concept of FAIR data
 Explains what a DMP is and when they should be updated
 Notes what happens at proposal, submission and evaluation stage
 Explains costs are eligible
 Provides a DMP template
I1.(meta)datauseaformal,accessible,shared,and
broadlyapplicablelanguageforknowledge
representation.
I2.(meta)datausevocabulariesthatfollowFAIR
principles;
I3.(meta)dataincludequalifiedreferencestoother
(meta)data;
R1.meta(data)arerichlydescribedwithapluralityof
accurateandrelevantattributes;
R1.1.(meta)dataarereleasedwithaclearand
accessibledatausagelicense;
R1.2.(meta)dataareassociatedwithdetailed
provenance;
R1.3.(meta)datameetdomain-relevantcommunity
standards;
A1.(meta)dataareretrievablebytheiridentifier
usingastandardizedcommunicationsprotocol;
A1.1theprotocolisopen,free,anduniversally
implementable;
A1.2.theprotocolallowsforanauthenticationand
authorizationprocedure,wherenecessary;
A2.metadataareaccessible,evenwhenthedata
arenolongeravailable;
Findable:
F1.(meta)dataareassignedagloballyuniqueand
persistentidentifier;
F2.dataaredescribedwithrichmetadata;
F3.metadataclearlyandexplicitlyincludethe
identifierofthedataitdescribes;
F4.(meta)dataareregisteredorindexedina
searchableresource;
Interoperable:
Accessible:
Reusable:
FAIR DATA PRINCIPLES
30
• How to discover your
data?
• How to understand your
data?
• Where to find your
data?
• Can people access
your data?
• Metadata
• Persistent identifier
• Naming convention
• Keywords
• Versioning
• Software,
documentation
• Data repository
• Standards
• Vocabulary
• Methodologies
• Licensing
Findable
ReusableInteroperable
Accessible
• DMP Online is a free tool developed by
the Digital Curation Centre
• Relies on templates based on funding
agencies for describing the data
• Generic DMP template for those not in
a project
• Guidance
• Different versions for different stages
of the project
• Allows sharing and exporting
• Federated authenticationPublic DMPs
https://dmponline.dcc.ac.uk/public_plans
https://dmponline.dcc.ac.uk
Create, Link, Share Data Management Plans argos.openaire.eu
argos.openaire.eu
CollaborativeworkspacetocreateDataManagementPlans
Functionalities:
• CollaborativecreationofDMPs
• SpecificoradaptativeDMPtemplatesforfundersorinstitutions
• Dataset-baseddescription
• DMPexporttoseveralformats(pdf,doc,XML,JSON)
• RESTwebservicestoallowintegrationwithresearchinfrastructures
• Publicroadmapforimplementation tracking https://trello.com/b/x49lylnK/argos
Create, Link, Share Data Management Plans argos.openaire.eu
Choosing a data repository…
• In an external data archive or repository with a thematic or disciplinary scope
• In an institutional data repository, or in a established research unit with data
management facilities
• Deposit in ZENODO
• Search the repository directory in r3data.org
Servicetopublishandshareresearchresults(publications,data,software,etc).
Funcionalities:
• Catch-allrepositoryforECfundedresearch.
• Opentoalltypesofresearchresultsandfromalldisciplines.
• 50GBperdataset
• Persistentidentifiers(DOIs)attribution.
• Attributionofuserlicenses
• Freeserviceforthe"longtailofScience".
• IntegrationwithGitHub,allowingthecodecitation
• Easytoidentifythefunderinstitution-EuropeanResearchArea(H2020,FCT...)OpenAIRE.
39
COMMUNITY
SOME EXAMPLES
40
SOME EXAMPLES
PROJECT
Open Access to Research Data
Publishers Data Availability Requirements
42
Data availability policy - publishers
Scenarios:
• sendthedatasettothepublisherand
thepublisher publishesthedataset
online.
• thepublisher askstheauthortodeposit
thedatasetinatrustedrepositoryand
tonotifythepublisher.
• thepublisher askstheauthortogive
contactinformationforthosewhowish
tohaveaccesstothedata.
Therequirementsaregenerallyfoundonthe
journal'swebsite.
Anumberofjournalshaveaspecific
DataAvailabilityor DataArchiving
Policy
43
44
https://explore.openaire.eu
https://explore.openaire.eu
OpenAIRE – who we are
 In 24x7 operation since Dec 2010
 EC funding (2009-2020)
 OpenAIRE (2009-2012)
 OpenAIREplus (2012-2014)
 OpenAIRE2020 (2015-2018)
 OpenAIRE Advance (2018-2020)
 Consortium of 50+ partners
 A legal entity in 2018
Open Access / Science experts
Information & Computer Science
experts
Legal experts
Data communities
Open Innovation experts
Citizen Science (schools)
Open Science in the EU and OpenAIRE
Slide from Natalia Manolla
Open Science the modus
operandi
2021
2017
OA data by default 2018
2013
OA to all publications
OA data pilot
2007
OA pilot for publications
Zooming on Open
Science
Started
Legal Entity
Policies Training
Services
Connecting
Empowering
3 pillars of action
Aligning
Services for all stakeholders
Funders, institutions, RIs, 3rd parties
Content providers,
Research Infras
Researchers, scientists
Support
Accelerate
Monitor
OpenAIRE services and tools
https://explore.openaire.eu
Complete aggregation
coverage
Academic Graph
Project
communit
y
FunderFunding
Product
Publication
Research
Data
Software
Organization
Source
Other res.
products
… and more
… and more
… and more
… and more
… and more
… and more
Towards implementation
IFLA WLIC| August 28, 2019
The role of the EOSC is to ensure that European scientists
reap the full benefits of data-driven science, by offering:
“1.7 million European researchers and 70 million professionals
in science and technology a virtual environment with free at
the point of use, open and seamless services for storage,
management, analysis and re-use of research data, across
borders and scientific disciplines”
• Trusted and open virtual environment with seamless access to services (with
highest TRLs) addressing the whole research
• Multi-layered federation which brings together supply and demand in a trusted
environment
• Open, transparent, rule of law based: no lock-in by individual service providers,
data portability, IPR, cloud security…
• Adaptively user-oriented and inclusive (across borders and disciplines)
• Governed by a minimal set of Rules of Participation
• Steered by an inclusive governance structure
EOSC key characteristics
IFLA WLIC | August 28, 2019
Implementing Open Science in
Europe and EOSC
www.openaire.eu
@openaire_eu
facebook.com/groups/openaire
pedroprincipe@sdum.uminho.pt
Thank you!

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Workshop Fraunhofer Portugal on Open Science in Horizon 2020

Editor's Notes

  1. Start planning and communicating early
  2. 3, provide information via chosen repository about tools and instruments necessary for validating the results 4, take measures to enable third parties to access, mine, exploide, reproduce and disseminate, free of charge for any user, this research data.
  3. A data management plan or DMP is a formal document that outlines how you will handle your data both during your research, and after the project is completed.[1] The goal of a data management plan is to consider the many aspects of data management, metadata generation, data preservation, and analysis before the project begins; this ensures that data are well-managed in the present, and prepared for preservation in the future. The DMP needs to be updated over the course of the project whenever significant changes arise, such as(but not limited to) - new data - changes in consortium policies (e.g. new innovation potential, decision to file for a patent) changes in consortium composition and external factors(e.g. new consortium members joining or old members leaving) DMP is a deliverable, and NOT part of the evaluation.
  4. Interoperability: how can my data be combined with other datasets and used in other fields? Licensing: who can access my data and for what perpuse can it be used
  5. Explicar que estas etapas não são fechadas – por exemplo os DMPs são um living document que pode ser alterado várias vezes
  6. Federating core services to federate and connect existing or planned RIs Services to make data FAIR, store them, ensure their long-term preservation Services to find, access, combine, analyse and process data Protected, personalized work environmenth data life cycle: