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The Italian Universities RDM WG: tools and best practices Paola Galimberti (University of Milan) on behalf of the Working Group on reasearch data RDA National Event in Italy, 14-15 November 2016 FAIR Data Management: best practices and open issues

The Italian Universities RDM WG: tools and best practices

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Page 1: The Italian Universities RDM WG:  tools and best practices

The Italian Universities RDM WG:tools and best practices

Paola Galimberti (University of Milan) on behalf of the Working Group on reasearch data

RDA National Event in Italy, 14-15 November 2016FAIR Data Management: best practices and open issues

Page 2: The Italian Universities RDM WG:  tools and best practices

The focus of this presentation is to speak about an informal cooperation between a group of italian universities in order to deliver a shared model of

⟶ Research Data Management policy ⟶ Research Data Management template ⟶ Research Data Infrastructure

aiming at a well-developed national Data Management Plan, compliant with EU-funded projects or other funders requirements.

The main problem of the group was: the lack of Italian guidelines (policy or plan).

This in an example of a bottom-up initiative.2

Page 3: The Italian Universities RDM WG:  tools and best practices

The Italian context

▪CRUI established an OA Working group in 2006 who worked on policies and guidelines (for oa journals ,PHD theses, institutional repositories)

▪the OA WG is still not working on research data. ▪The Italian Ministry (MIUR) has not expressed any interest in

this issue and the new appointed group on big data did not face the problem of RDM at all

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Page 4: The Italian Universities RDM WG:  tools and best practices

The international context: EUEU has recognized the importance of RDM and of research data

organisation of data (entry, research cycle, dissemination & archiving of valuable results);

being part of the research process, and aiming to make it as efficient as possible & meet requirements of the university, funders, legislation.

It concerns how to:Create data and plan for its use,Organise, structure & name data,Keep data (secure, provide access, store and back up),Find information resourcesShare & re-use data, publish and get cited. 4

Page 5: The Italian Universities RDM WG:  tools and best practices

Our group starting point

Common needs & OpenAIRE - NOAD contact

absence of Italian guidelines, no endorsement

in most cases, no internal structure in universities; no RDM and data stewardship integration in institutional communication strategy

need to support researchers in grant applications

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Page 6: The Italian Universities RDM WG:  tools and best practices

The group & competenciesPositive feedback from colleagues:

• Politecnico di Milano• Università Ca’ Foscari Venezia• Università di Milano• Università di Padova• Università di Torino• Università di Trento

Different skills and different roles:IT service, Digital library, Research Support Service, Legal service

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Page 7: The Italian Universities RDM WG:  tools and best practices

Working method 3 WG: main coordinator Paola Gargiulo (OpenAIRE- NOAD, Cineca).

Group n. 1: deliverable ➔ Policy model

Group n. 2: deliverable ➔ DMP Template

Group n. 3: deliverable ➔ E-Infrastructure

▪Every member decided which group to belong to▪No meetings in presence, only on-line, mailing list, wiki,

materials shared on google drive▪6 Plenary sessions from April to October 2016

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Page 8: The Italian Universities RDM WG:  tools and best practices

GROUP n. 1: POLICY

Background: • results of the LEARN project, policies of the University of

Edinburgh and of UCL, Austrian group e- infrastructures• local interviews on research data management and

researchers needs and habits (data type, size, archiving, long term preservation

Timing:• first draft July • second draft August• final document October

Next steps:• Contextualization and Adoption of the policy (approval by SA)

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Page 9: The Italian Universities RDM WG:  tools and best practices

Main issues

• Introduction (why?)

• A definition of research data (what?)

• Handling of research data (where, how long?)

• Ownership

• Responsibilities

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Page 10: The Italian Universities RDM WG:  tools and best practices

GROUP n. 2: DMP TEMPLATETask: analyze documents & templates from DCC, the European project LEARN, E-infrastructures Austria and several European universities

provide a simple & clear template, accompanied by self-explaining examples

Timing: 1st draft: July; 2nd draft: August; Final version: October

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Page 11: The Italian Universities RDM WG:  tools and best practices

DMP Template structure:

Administrative details Dataset descriptionStandards & metadataData Management, Documentation and CurationData security, Ethics and Legal complianceData sharing and accessResponsibilitiesInstitutional policies on data sharing and security

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Page 12: The Italian Universities RDM WG:  tools and best practices

GROUP n. 3: e-INFRASTRUCTURES

Tasks•Definition of technological and service requirements for research data life cycle

• data PRODUCTION (During the research) • data PRESERVATION and DISSEMINATION & REUSE (once the

research endded)

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Page 13: The Italian Universities RDM WG:  tools and best practices

•Analysis of existing Data Repositories (Tools & Service)

Timing: 1st draft: July; 2nd draft: September; Final version: November

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GROUP n. 3: e-INFRASTRUCTURES

Category Sub-categoryhttp://guides.dataverse.org/en/l

All data files are stored in CERN Data Centres, primarily Geneva, with soluzioni varie

d2drop owncloudb2safe iRODS

https://eudat.eu/services/userdoc/e

OPEN SOURCE /Local installation OPEN SOURCE /Local installation

Size https://dataverse.harvard.edu/ http://service.re3data.org/repository/r3d100010051 57385 files; 3153 datasets https://zenodo.org/search?page=1&size=20&q=http://service.re3data.org/repository/r3d100010468

Hardware & Infrastructure

Server (server resources, platforms etc.)

Cost

Page 14: The Italian Universities RDM WG:  tools and best practices

Conclusion

•During the research •There is yet nothing specifically suited for this matter

•Warning about spread use of cloud service outside the EU law

•When the research is ended•Analyzed services and platforms are compliant to Horizon 2020 requirements and in general to FAIR principles but not specifically built for datasets management (e.g.: no detailed description/license is available for different objects in the same dataset)

•Long term sustainability? Costs, governance, istitutional vs community vs central service…

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GROUP n. 3: e-INFRASTRUCTURES

Page 15: The Italian Universities RDM WG:  tools and best practices

A chair has three legs

15CULTURE

INFRASTRUCTURE

POLICIES

Page 16: The Italian Universities RDM WG:  tools and best practices

STRONG POINTS• Easy to work in an informal working group

• High motivation of the participating institutions (better saying of the members of the group)

• Possibility to take advantage of previous experiences (and materials) and outcomes

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Page 17: The Italian Universities RDM WG:  tools and best practices

WEAK POINTS• Lack of endorsement• Lack of awareness of the importance of research data (and of open

access to scientific publications tout court) at government level

This poor awareness at central level results in:• a lack of interest locallyt so that research data are not (yet) an issue

in many universities • a lack of instruments (both conceptual and technical) to manage

data production, archiving and preservation• No funding for research data management. At international level concerns about the embargo period of 6

months (considered too short for a fair exploitation from the author http://www.nejm.org/doi/full/10.1056/NEJMp1605654)

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Page 18: The Italian Universities RDM WG:  tools and best practices

FUTURE STEPS

•DisseminationSharing of the outputs on the OA WIKI ItaliaPresentation of results in workshops and conferences

•DevelopmentInvolvement of the OA WK of CRUI Enrichment of the current documentation

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