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Research Data (in the) Netherlands

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Presentation on theme: "Research Data (in the) Netherlands"— Presentation transcript:

1 Research Data (in the) Netherlands
Landscape, collaboration and 'Data People' Jeroen Rombouts

2 Contents TU Delft Library The Dutch status quo DANS 3TU.Datacentrum
Research Data NL Skills Training

3 TU Delft Library National Responsibility for Science & Technology
Last year changed organisation to product teams: Education support, Research support, Document Management & Archiving, New Media, … Product team: Research Data Services Approx.: 11 ‘Library’ + 6 IT staff members DataCite Netherlands TU Maps 3TU.Datacentrum (front-office & back-office)

4 Status-quo in the Netherlands
Dutch Academy (KNAW): Study on RDM, Statement: “Taking into account variations across and within scientific disciplines, free availability of data should be the default”. Dutch Universities: Are developing (or have developed) data policies. Working on IT development programmes (SURF). Libraries knowledge exchange (UKB). Dutch research funding organisation NWO: Data Management Plans (DMP’s) and data sharing are becoming requirements for funding. Politics: Getting ready… EU influence: Recommendations by Riding the Wave, H2020, Science Europe WG, RECODE, …

5 The KNAW “Schuyt report” on data practices
A lot of variation across and within disciplines Pattern: data management in small-scale research more risky than in big science Risk: missing checks and balances, especially in period after granting a research proposal and before publication Peer pressure is an important control mechanism

6 Data = ‘hot topic’  many organisations & initiatives
Existing organisations VSNU, NWO, LIBER, UKB, SURF, … Specialized/’new’ initiatives National: DANS, 3TU.Datacentrum, NCDD, … Internat.: DataCite, RDA, Force11, Knowledge Exchange, ICSU/CODATA, APA, … > Coordination required! Yet we added another one: Research Data Netherlands (RDNL)

7 Mission: promote permanent access to digital research information
Institute of Dutch Academy and Research Funding Organisation (KNAW & NWO) since 2005 First predecessor dates back to 1964 (Steinmetz Foundation), Historical Data Archive 1989 Mission: promote permanent access to digital research information

8 Core services by DANS EASY: Electronic Archiving System for self-deposit NARCIS: Gateway to scholarly information In the Netherlands New service from May 1st 2014: Dutch Dataverse

9 3TU.Datacentrum Research data facility run by (currently) 3 Universities of Technology from the Netherlands. Offering products & services, before, during and after research, to make and keep valuable data accessible, discoverable and usable. Derived goals: provide tools & services and (re)skill researchers and support staff.

10 3TU.DC Background Organisation
TUD: Students, Research staff, Auxiliary staff TU/e: Students, Research staff, Auxiliary staff UT: Students, Research staff, Auxiliary staff ‘History’ 2003 – 2007: Initial projects e-archive, Darelux. 2008 – 2011: Project of 3 Libraries: shared central back-office, collaborating local front-offices. > 2012: Open consortium by (currently) 3 Universities Funding by partner institutions (shared back-office) + libraries (front-offices) + ‘exploitation’ (R&D + direct services). “We build our solutions on 3 legs” I’ll illustrate every leg with an example after this introduction Data-labs … e.g. OpenEarth, SHARE Data-archive … e.g. IEEE Taskforce, Data underlying publications, IDRA Data-services Events (Dutch Data Prize 2012), EU and Dutch research projects, Training of support staff and developing courses e.g. Data-intelligence, events, Tulib, ‘Board’ of SURF SIG research data, Leading UKB Working Group, …

11 Core services 3TU.DC - 1/2 DataLabs
Collaboration platforms for research data (management) to enable exchange of data and other research material for collaboration and e.g. early review. improve standardization & documentation and lower archiving threshold. E.g.: OpenEarth DataLab, large community of researchers (> users and 120+ contributing). A.o. for Dutch Topsector Water project(s). Data Archive Multi disciplinary, multi institutional data archive to ‘freeze’ research data and data descriptions for future use.  improve long-term accessibility, usability and discoverability. “We build our solutions on 3 legs” I’ll illustrate every leg with an example after this introduction Data-labs … e.g. OpenEarth, SHARE Data-archive … e.g. IEEE Taskforce, Data underlying publications, IDRA Data-services Events (Dutch Data Prize 2012), EU and Dutch research projects, Training of support staff and developing courses e.g. Data-intelligence, events, Tulib, ‘Board’ of SURF SIG research data, Leading UKB Working Group, … 11

12 Core services 3TU.DC - 2/2 Data Services
Training, advice and support on data management planning & ‘publicizing’.  improve data governance and data sharing practice. E.g. RDM Training, H2020 Guideline, Data Management Plan template and review, APC fund for OA Data publications, … Data-R&D Procedures, licensing, business models, training and technology for RDM. adopt, adopt, adopt & develop best practices E.g. FOSTER (FP7), Massive Point Clouds (NL eScience Center), OA Roadmap, Business/Organization model, … “We build our solutions on 3 legs” I’ll illustrate every leg with an example after this introduction Data-labs … e.g. OpenEarth, SHARE Data-archive … e.g. IEEE Taskforce, Data underlying publications, IDRA Data-services Events (Dutch Data Prize 2012), EU and Dutch research projects, Training of support staff and developing courses e.g. Data-intelligence, events, Tulib, ‘Board’ of SURF SIG research data, Leading UKB Working Group, … 12

13 ‘Collaboration of back office organizations for promotion of sustained access and responsible re-use of digital research data’

14 RDNL founded in 2013 by 3TU.Datacentrum and DANS
SURFsara: Dutch HPC Center Together wide range and portfolio Current RDNL ‘services’ Training: Essentials 4 Data Support Dutch Data Prize awards

15 Why yet another organisation?
Too much data and required expertise to handle alone Improve usability align services, one stop shop, … Share capacity & knowledge Save/safe investments Increase impact! voor de cursus

16

17 Staffing context & skills
Library role for research data? Yes! Responsible for university output and research input (a.o. data!) Valued ‘skills’ Discovery & Delivery, Publication & Impact, Network (students and researchers), … Missing IT knowledge: tool developers, data formats & infrastructure knowledge, … Soft skills: understand data producers and consumers to build relationship and provide effective support 3 Universities of Technology in the Netherlands About 4yr ago Federation Project to support ‘Centers of Excellence’ Proved reason for existence for certain research groups Difficulties: get colleagues to make an effort, earn trust from researchers in other institutes.

18 Training 1/2 1st: autodidact In project phase through workshops, conferences, literature, etc. 2nd: train the trainer Needed to reach a wider audience, found online material to teach researchers but no material for support staff. Therefore developed: data-intelligence 4 librarians RDM basics, 3TU.DC practical instructions, consultancy & acquisition skills. 3 Universities of Technology in the Netherlands About 4yr ago Federation Project to support ‘Centers of Excellence’ Proved reason for existence for certain research groups Difficulties: get colleagues to make an effort, earn trust from researchers in other institutes.

19 Training 2/2 3rd: train the users
Currently: experience with short module in information literacy, custom workshops. Developing: blended learning module for TUD Extension School, Partner in FOSTER Project (FP7), TU/e Workshops in PhD training program, UT + TUD Expanding RDM module, … VSNU response to “Schuyt report” Recommendations: “Proper data stewardship should be standard procedure for researchers”. (note: not requiring obligations or rewards) 3 Universities of Technology in the Netherlands About 4yr ago Federation Project to support ‘Centers of Excellence’ Proved reason for existence for certain research groups Difficulties: get colleagues to make an effort, earn trust from researchers in other institutes.

20 Essentials 4 Data Support
Teaching the basic knowledge and skills (essentials) to enable a data supporter to take the first steps towards supporting researchers in storing, managing, archiving and sharing their research data. Online only or combined with face-2-face

21 Concluding remarks Landscape Collaboration ‘Data people’
Many organisations/initiatives, need for action … > Think BIG, start small, Act Now! (then find coordinator ;-)) Collaboration Because you can’t do it alone (as well as together)… > Federated infrastructure works. ‘Data people’ Some new skills required… > Training becoming available.

22 Merci bien! (from RDA 4th Plenary, Amsterdam) Cartoons by Auke Herrema

23 Resources 3TU.Datacentrum DataCite DANS SURFsara Research Data Netherlands Data Intelligence Training for Library Staff Essentials 4 Data Support Data-lab video

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